Marine and Petroleum Geology 54 (2014) 65e81
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Marine and Petroleum Geology
journal homepage: www.elsevier.com/locate/marpetgeo
Research paper
Relationships between porosity, organic matter, and mineral matter in
mature organic-rich marine mudstones of the Belle Fourche and
Second White Specks formations in Alberta, Canada
Agnieszka Furmann a, *, Maria Mastalerz b, Arndt Schimmelmann a, Per Kent Pedersen c,
David Bish a
a
b
c
Department of Geological Sciences, Indiana University, Bloomington, IN 47405, USA
Indiana Geological Survey, Indiana University, Bloomington, IN 47405, USA
Department of Geoscience, University of Calgary, Calgary, AB T2N 1N4, Canada
a r t i c l e i n f o
a b s t r a c t
Article history:
Received 18 June 2013
Received in revised form
6 February 2014
Accepted 26 February 2014
Available online 7 March 2014
This study presents approaches for evaluating hybrid source rock/reservoirs within tight-rock petroleum
systems. The emerging hybrid source rock/reservoir shale play in the Upper Cretaceous Second White
Specks and Belle Fourche formations in central Alberta, Canada is used as an example to evaluate organic
and inorganic compositions and their relationships to pore characteristics. Nineteen samples from a
77.5 m-long core were analyzed using organic petrography, organic geochemistry, several methods of pore
characterization, and X-ray powder diffraction (XRD). The lower part of the studied section includes quartzand clay-rich mudrocks of the Belle Fourche Formation with low carbonate content, whereas the upper
portion contains calcareous mudrocks of the Second White Specks Formation. Strata are mineralogically
composed of quartz plus albite (18e56 wt. %), carbonates (calcite, dolomite, ankerite; 1e65 wt. %), clays
(illite, kaolinite, chlorite; 15e46 wt. %), and pyrite (2e12 wt. %). Petrographic examinations document that
organic matter represents marine Type II kerogen partly biodegraded with limited terrestrial input. Vitrinite reflectance Ro (0.74e0.87%), Tmax values (438e446 C) and biomarkers indicate mid-maturity within
the oil window. The relatively poor remaining hydrocarbon potential, expressed as an S2 value between 2.1
and 6.5 mg HC/g rock, may result from an estimated 60e83% of the original kerogen having been converted
to hydrocarbons, with the bulk having migrated to adjacent sandstone reservoirs. However, the presentday remaining total organic carbon TOCpd content remains relatively high (1.7e3.6 wt. %), compared
with the estimated original TOCo of 2.4e5.0 wt. %. The calculated transformation ratio of 60e83% suggests
that the remaining 17e40 wt. % of kerogen is able to generate more hydrocarbons. The studied section is a
tight reservoir with an average Swanson permeability of 3.37$10 5 mD (measured on two samples) and
total porosity between 1.7 and 5.0 vol. % (3 vol. % on average). The upper part of the sandy Belle Fourche
Formation, with slightly elevated porosity values (3.5e5 vol. %), likely represents the interval with the best
reservoir properties in the studied core interval. Total pore volume ranges between 0.0065 and 0.0200 cm3/
g (measured by a combination of helium pycnometry and mercury immersion). Mesopores (2e50 nm B)
are the most abundant pores and occupy 34e67% of total porosity or a volume of 0.0030e0.0081 cm3/g. In
comparison, micropores (<2 nm B) cover a wide range from 6 to 60% (volume 0.0007e0.0053 cm3/g), and
macropores (>50 nm B) reach up to 57% with the exception of some samples failing to indicate the
presence of this pore fraction (volume 0.0000e0.0107 cm3/g). Macroporosity is mostly responsible for
variations in total porosity, as suggested by macroporosity’s strongest correlation with total porosity within
the section. The relatively narrow ranges of TOC and minerals contents among measured samples limit our
ability to further deconvolute factors that influence changes in total porosity and pore size distribution.
Ó 2014 Elsevier Ltd. All rights reserved.
Keywords:
Unconventional reservoir
Thermal maturity
Organic matter
Porosity
Second White Specks Formation
Belle Fourche Formation
Alberta
* Corresponding author. Department of Geological Sciences, 1001 East 10th Street, Indiana University, Bloomington, IN 47405-1405, USA. Tel.: þ1 812 236 4962.
E-mail address: afurmann@indiana.edu (A. Furmann).
http://dx.doi.org/10.1016/j.marpetgeo.2014.02.020
0264-8172/Ó 2014 Elsevier Ltd. All rights reserved.
66
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
1. Introduction
Recent success in extraction of hydrocarbons from tight
unconventional-type reservoirs has triggered a dramatic increase
in research on self-sourced systems, like hybrid source rock/reservoir mudstone plays. An unconventional oil/gas mudstone play
(generally called a shale play) commonly consists of a sedimentary
succession across a large geographic area with the following characteristics: dominantly clay- to silt-sized particles, high contents of
silica and/or carbonates, high organic matter (OM) content, thermally mature, hydrocarbon-filled porosity, and low to very low
permeability. Such plays require multistage fracture stimulation in
horizontal wells to achieve economic production (Caputo, 2011). An
evaluation of the unconventional hydrocarbon resource potential of
source rock/reservoir formations must take advantage of multidisciplinary approaches involving porosity, OM, and mineral matter. This study uses the specific example of mature organic-rich
marine mudstones within the Second White Specks petroleum
system in Alberta to highlight strengths and shortcomings of
various parameters, e.g., the vertical variation in porosity and pore
types and facies-related controls on pore characteristics. A combination of analytical methodologies encompassing organic
petrology, geochemistry, mineralogy, and porosimetry expands our
understanding of organic-rich petroleum systems.
The Second White Specks Formation located within the Western
Canada Sedimentary Basin (Fig. 1) is one of the emerging hybrid
source rock/reservoir plays in North America that has attracted the
attention of recent explorations (Clarkson and Pedersen, 2011;
Kwan and Mooney, 2010). The Second White Specks and Belle
Fourche formations were deposited within the Cretaceous Western
Interior Seaway (a foreland basin) of North America (Bloch et al.,
1999). Changes in the depositional paleoenvironment within the
Seaway were responsible for lateral and vertical changes in the
geochemistry and mineralogy within and between the formations.
In turn, burial and compaction of sediment as well as diagenetic
processes related to hydrocarbon generation influenced the poor
preservation of porosity and permeability, making this play challenging in terms of exploration and production (Greff and Cheadle,
2012).
Extensive research has been done on the Second White Specks
Fm.’s stratigraphy, lithology, and OM characteristics (i.e. organic
petrography and Rock-Eval pyrolysis) from British Columbia,
Alberta, Saskatchewan, and Manitoba (e.g., Bloch et al., 1993, 2002;
Kovac and Last, 1991; Macauley, 1984a,b; Schröder-Adams et al.,
1996; Stasiuk and Goodarzi, 1988; Tyagi et al., 2007). Significantly
less is known about the porosity systems. Bloch (1995) recognized
that shales from the lower Colorado Group (including the Second
White Specks, the Belle Fourche, and the Fish Scale formations;
Fig. 2) were of economic interest as the shale reservoirs. However,
at that time conventional wisdom considered the Second White
Specks Fm. to be mostly a source rock that had expelled large
volumes of hydrocarbons to adjacent sandstone reservoirs, e.g., the
overlying Cardium Fm. (Mossop and Shetsen, 1994). Although
several prolific wells have been completed in the Second White
Specks Fm., many unsuccessful attempts to establish multi-well
pools discouraged further drilling. Historically this formation has
been mainly characterized as a natural fracture-controlled reservoir
with high lateral heterogeneity in its primary intrinsic porosity
o
o
120 W
W6
110 W
o
60 N
W5
T115
T104
ALBERTA
T92
Western Canada
Sedimentary Basin
BRITISH COL
ing
as ty
e
r
inc aturi
m
T69
T58
x Edmonton
T46
07-19-45-6W5
AN
SASKATCHEW
UMBIA
T81
T35
Immature
Mature
Overmature
x
T23
Calgary
T12
N
0
100
200 km
49oN
Figure 1. Extent of the Second White Specks Fm. in Alberta, Canada, within the Western Canada Sedimentary Basin (map after Creaney and Allan, 1990). Maturity within the Second
White Specks Fm. increases westward (after Kwan and Mooney, 2010). The black square represents the well location (T45 e township; W5 e range).
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
67
Second White Specks Formation
Well 07-19-45-6W5
Core depth: 1793.5-1871 m
Core length: 77.5 m
Formation depth: 1754->1890 m
Formation thickness: >120 m
Core
depth
(m)
1790
1800
1810
1830
1840
Age
Fish Scales
99 Ma
Sample
depth (m)
1
2
1794.50
1798.40
3
1805.60
5
6
7
1810.25
1813.70
1818.75
11
1826.55
12
13
1833.30
1834.50
14
15
16
1840.90
1846.40
1848.90
17
1855.20
18
19
1860.10
1863.10
20
1869.80
8 1821.70
9 1822.60
10 1823.70
0
1850
1860
1870
Period
Sample
number
1820
Belle Fourche Formation
Colorado Group
93 Ma
Cenomanian
Upper Cretaceous
Turonian
Top of Second White Specks Formation
25
?
50 m
0
GR (GAPI)
200
Red Bentonite from Tyagi et al. (2007) and Greff and Cheadle (2012)
boundary proposed in this study based on mineralogy and petrography
Figure 2. Position of core in well 07-19-45-6W5 within the Belle Fourche and Second White Specks formations (well location is shown in Fig. 1). The boundary between the Belle
Fourche and Fish Scales formations is not well defined. Numbers and depths of 19 collected samples are given to the right of the core that is indicated by a black vertical bar. Sample
#4 was not included in this study. The well gamma-ray log (GR) in GAPI units (Gamma-ray, American Petroleum Institute; Hoppie et al., 1994) is shown on the right and the
smoothed core gamma-ray log is depicted on the left (does not correspond to the given GAPI scale). Both GRs show a reasonably good match. Stratigraphy adapted from Mossop and
Shetson (1994), Tyagi et al. (2007) and Greff and Cheadle (2012).
distribution (Greff and Cheadle, 2012). Only recently this formation
is being re-evaluated as a promising tight oil reservoir (characterized by very low matrix permeability) and also as one of the
emerging tight oil/shale plays in North America. Assessment of
unconventional formations, and hybrid source rock/reservoir plays
in particular, requires parallel applications of several methodologies. Tight oil reservoirs are often highly heterogeneous strata
within the oil window maturity and therefore require careful analyses of both OM and mineral matter, including the effects of
kerogen transformation on porosity generation and preservation.
Therefore, a set of organic geochemical techniques combined with
mineralogical and porosimetry analyses had been applied to understand the pore types and their affiliations within these complex
systems of the Second White Specks and Belle Fourche formations.
2. Methodology
2.1. Sample material
Nineteen mudstone samples were collected at the ERCB Core
Research Centre in Calgary, Canada, from well 07-19-45-6W5
(Fig. 2) that had been drilled in 1979 by the ‘Canadian Hunter’
company. Although long-term storage could possibly influence rock
chemical properties, the core has value as a representative core for
the two studied formations. The 77.5 m long core (depth 1793.5 me
1871.0 m) covers the middle and upper part of the late Cenomanian
Belle Fourche Fm. and the lower part of the overlying middle
Cretaceous (early Turonian) Second White Specks Fm. (Fig. 2).
Sample weights ranged from 20 to 110 g. The top of the core
occurred w39.5 m below the top of the Second White Specks Fm.
(1754.0 m), whereas the bottom of the core is w19 m above the
base of the Fish Scales Fm. Although it is difficult to pick the
boundary between the Belle Fourche and the Fish Scales formations, lithologic and stratigraphic evidence strongly suggests that
the core ends within the Belle Fourche Fm. without reaching the
Fish Scales Fm. Samples represent dark to black pyritic mudstones
with abundant silty and/or calcareous laminations, occasional ripples, calcareous shells of bivalves, fish bones and fish scales. The
examined sections of the Belle Fourche and Second White Specks
formations consist of several mudstone facies. Each facies comprises several microfacies as shown in the core photos in Figure 3.
Samples for analyses were collected from dominant mudstone
facies. Siltstone, sandstone and shell laminae were not sampled as
they comprise a very small portion of the section and are typically
tightly cemented with very low porosity. However, smaller fragments of these laminae might be present in several samples used
for X-ray powder diffraction (XRD) analyses, e.g., the high carbonate content in samples #5 and 15 is likely due to abundant shell
68
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Figure 3. Core photos representing mudstone facies in samples from well 07-19-45-06W5. (A) Dark mudstone with frequent thin ripple siltstone laminae. Abundant shell fragments of various sizes and rare siltstone borrows. Sample #3, 3.32 wt. % TOC, 1.7 vol. % porosity. (B) Dark mudstone interbedded with abundant planar and ripple siltstone laminae.
Note the steep scoured base of the sandstone bed, with abundant fish bones within the basal part of the scour fill. Sample #5, 1.74 wt. % TOC, 2.5 vol. % porosity. (C) Silty mudstone
with dark mudstone and siltstone laminae and scattered small shell fragments. Sample #7, 2.04 wt. % TOC, 3.2 vol. % porosity. (D) Dark mudstone with rare discontinuous siltstone
laminae and shell fragments. Note the graded beds in central part of the photo. Sample #12, 2.01 wt. % TOC, 4.1 vol. % porosity. (E) Calcareous dark mudstone with abundant siltstone
laminae and small to large shell fragments (pointed by arrows). Sample #15, 3.62 wt. % TOC, 2.9 vol. % porosity. (F) Gray silty, calcareous mudstone with discontinuous ripple
siltstone laminae. Note the bioturbated character of several beds. Sample #18, 2.58 wt. % TOC, 2.2 vol. % porosity.
fragments (Fig. 3B and E). The stratigraphy is based on Mossop and
Shetson (1994) and Tyagi et al. (2007). However, the boundary
between the Second White Specks and Belle Fourche formations
was placed here based on clear changes in mineralogical and
organic petrographic characteristics. Therefore, we propose this
boundary to occur a few meters below the one proposed by Tyagi
et al. (2007) and Greff and Cheadle (2012) based on the occurrence of red bentonite (Fig. 2).
2.2. Characterization of organic matter
Maceral compositions were characterized with a Leitz Orthoplan microscope using both white and fluorescent light. The relative abundances of maceral groups were assessed visually for all
samples, and several samples (#1, 5, 15, and 18) were selected for
500-point count analyses. Vitrinite reflectance Ro (%) values were
measured on a Zeiss Photoscope. The recycled nature of most vitrinite particles made it difficult to find indigenous particles and
thus limited reliable Ro measurements (maximally 25 points). The
Rock-Eval 2 analyzer was used to characterize the hydrocarbon
potential (i.e. Tmax, hydrogen index HI, oxygen index OI, etc.). Total
organic carbon (TOC) concentration data relied on a LECO 600
Carbon Analyzer. In addition, TOC, total carbon (TC), and total sulfur
(TS) were quantified on powdered samples with an Eltra CS-2000
instrument. The transformation ratio TRHI (i.e. the conversion of
kerogen to hydrocarbons) for the mature section, the original
Hydrogen Index HIo, and original TOCo for the immature equivalent
of these rocks were calculated according to Jarvie et al. (2007).
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Biomarkers in OM (bitumen) were Soxhlet-extracted from about
15 g dry, crushed shale using a 9:1 (v:v) mixture of dichloromethane (CH2Cl2, 270 mL) and methanol (CH3OH, 30 mL) for 72 h,
followed by evaporation in a TURBOVAP, weighing of the residual
bitumen, re-dissolution in 100 mL hexane, ultrasonication for
5 min, and filtering through a pasteur pipette (i.d. 5 mm) filled with
2 cm baked glass-wool to retain precipitated asphaltenes. The
filtered extract was collected in a 250 mL beaker, and additional
50 mL of hexane were used to rinse any remaining extract from the
round-bottom flask through the filtering pipette into the beaker.
Elemental sulfur was removed from asphaltene-free extracts by
reaction with freshly reduced, solvent-rinsed copper powder. The
extract was separated chromatographically into fractions on a glass
column (i.d. 5 mm, w12 cm length) containing w6e7 cm of deactivated silica gel (5 wt. % water) using an elution sequence of (i)
hexane (8 mL), (ii) hexane/CH2Cl2 (8 mL; 1:1 v:v), and (iii) CH2Cl2/
CH3OH (6 mL; 1:1 v:v). The three resulting fractions are called
aliphatic (F1), aromatic (F2), and polar (F3), respectively. Each
fraction was collected into a 3 dram vial (11 mL volume) from where
solvents were evaporated under a stream of purified N2 at room
temperature. The aliphatic fraction F1 was re-dissolved in hexane,
transferred into GC vials, and analyzed by gas chromatography e
mass spectrometry (GCeMS) to identify and quantify individual
components. GCeMS employed an Agilent 6890N series gas chromatograph equipped with a split/splitless injector and connected to
an Agilent 5973 quadrupole mass spectrometer. Each fraction was
injected with the split ratio of 30 into an Agilent DB-5MS fused
silica capillary column (30 m 0.25 mm i.d., 0.25 mm film thickness) that was held isothermally at 60 C for 1.5 min, then programmed in two steps from 60 C to 130 C at 20 C/min, and from
120 C to 320 C at 3 C/min, and finally held isothermally at 320 C
for 20 min. The MS source was operated at 250 C in EI-mode with
ionization energy of 70 eV. Data were acquired and processed using
ChemStation software. Mass-chromatography of diagnostic ions
assisted in the identification of homologous series of n-alkanes (m/
z ¼ 85; Robinson et al., 1991), acyclic isoprenoids (m/z ¼ 57, 183;
Petrov et al., 1990), steranes and diasteranes (m/z ¼ 217; Grantham
and Wakefield, 1988), and hopanoids (m/z ¼ 191; Hoffmann et al.,
1984).
2.3. Mineral composition
Mudstone samples were powdered to <5 mm B in deionized
water in a McCrone micronizer with quartz grinding elements and
oven-dried at 110 C overnight. A Bruker D8 Advance X-ray
diffractometer with a Sol-X solid-state detector and a Cu X-ray tube
operated at 40 kV and 30 mA was utilized to identify and quantify
mineral phases. Mudstone powders were placed into a large frontpacked mount (LFPM) and scanned from 2 to 70 using a count
time of 2 s per 0.02 step. Multicomponent concentrations were
quantified by Rietveld refinements with TOPAS software. Thinsection microscopy was performed in support of XRD interpretation. The brittleness index was calculated according to Jarvie et al.
(2007) and Wang and Gale (2009) based on quantified mineralogy.
2.4. Surface area, mesopore volume, and micropore volume
Approximately 2.0e2.5 g of each mudstone sample with grain
sizes between 2.83 mm and 4.76 mm (i.e. 7e4 mesh or 0.111e0.187
inch) were analyzed for their surface areas, as well as for volumes
and widths of mesopores and micropores. Selected samples (based
on increasing TOC content) with grain sizes of about 0.250 mm (i.e.,
60 mesh) were chosen for additional analyses of micropore volumes. Pore size parameters were determined with a Micromeritics
ASAP 2020 Surface Area and Porosity Analyzer. The adsorption of
69
N2 and CO2 gases on mudstone was used to quantify mesopore (2e
50 nm B, accessible to both gases) and micropore volumes
(<2 nm B, accessible to CO2 only). Sample weights between 1 and
2 g are commonly used for coal and shale porosity studies (e.g.,
Chalmers and Bustin, 2007; Chalmers et al., 2012; Mastalerz et al.,
2012). The classification of pore sizes follows that of the International Union of Pure and Applied Chemistry (Orr, 1977). Before
exposure to either N2 or CO2, each mudstone sample was heated to
w110 C in vacuum for w14 h to desorb gases and remove adsorbed
moisture and volatiles. N2 gas adsorption in mudstone occurs at the
temperature of liquid N2, whereas CO2 adsorption proceeds at 0 C.
These measurements provided adsorption isotherms, calculated
surface areas, pore volumes, and pore distributions based on multiple adsorption theories, i.e. Langmuir, BrunauereEmmetteTeller
(BET), BarretteJoynereHalenda (BJH), DubinineRadushkevich (De
R), and DubinineAstakhov (DeA), among others (Webb and Orr,
1997; Clarkson and Bustin, 1999). A detailed description of relevant theories and techniques can be found in Gregg and Sing
(1982).
2.5. Total porosity and pore throat diameter
Total porosity (vol. %), pore volume (Vp; cm3), grain volume (Vg;
cm ), and grain density (rgrain) were obtained using helium (He)
pycnometry on samples analyzed by the Core Laboratories facility
(Houston, Texas). Total porosity was calculated from bulk (Vbulk)
and grain (Vgrain) volumes. The total pore volume (Vt, cm3/g) was
calculated as Vt ¼ (1/rbulk) (1/rgrain), where rbulk was calculated
from sample weight and the bulk volume (Vbulk) from mercury (Hg)
immersion, and rgrain was measured via He pycnometry (Cui et al.,
2009) on bulk samples. During Hg immersion the bulk rock sample
was submerged into Hg to obtain the total volume, without applied
pressure. The total pore volume Vt was used to calculate the macropore volume, by subtracting the sum of the mesopore volume
(cm3/g, measured by low-pressure N2 gas adsorption) and the
micropore volume (cm3/g, measured by low-pressure CO2 gas
adsorption) from the total pore volume (Vt, cm3/g). The distribution
of pore throat diameter and Swanson permeability (mD; Swanson,
1981) were measured via mercury injection capillary pressure
(MICP) by the Core Laboratories facility (Houston, Texas) on two
samples only (#9, 11) using a Micromeritics Autopore 9320 highpressure Hg injection device. Apparent Hg injection volumes
were corrected using a conformance factor determined for each
sample from an evaluation of the apparent injection volume versus
injection pressure. As an extremely non-wetting material, Hg must
be forced with pressure to conform around and into surface features. The conformance value is the volume of Hg pressed into
surface roughness and around sample edges after the penetrometer
chamber is initially filled with Hg. This conformance volume is
subtracted from all subsequent apparent injection volumes.
3
3. Results
3.1. Organic petrography and vitrinite reflectance
The liptinite maceral group, including alginite (from phytoplankton), liptodetrinite (small fragments of likely algal origin), and
amorphous organic matter (AOM), accounts for 70e95% by volume
of OM on a mineral-free basis. Vitrinite (dominantly reworked) and
inertinite are only a minor addition to the total maceral composition. Secondary OM is represented by solid bitumen that characteristically fills small (1e2 mm) pores in isolated (elongated,
lensoidal or round) fine-grained zones rich in minerals (max.
diameter 300 100 mm; Fig. 4A and B). Solid bitumen also occurs in
association with carbonate minerals along grain contacts and is
70
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
occasionally micrinized. Mineral matter identified microscopically
under reflected light includes carbonates, clay minerals, and mostly
framboidal pyrite, although euhedral and massive forms of pyrite
are also present. The composition of OM is relatively similar among
the samples from the Belle Fourche and Second White Specks formations (Fig. 4).
Quantitative maceral analysis of OM revealed 70e95 vol. % liptinite macerals (including alginite, AOM and liptodetrinite; Fig. 4).
Solid bitumen typically ranges from 5 to 20 vol. % with the exception of sample #5 which contains 90 vol. %. In general, samples
#15e20 in the lower part of the section contain more solid bitumen
(13e20 vol. %) than samples #1e14 (4e10 vol. %). Vitrinite and
inertinite together typically account for 1e2 vol. % and reach their
maximum of 9 vol. % in sample #20. Vitrinite reflectance Ro values
show a range between 0.74 and 0.87% (Table 1, Fig. 5).
3.2. Organic geochemistry and Rock-Eval pyrolysis
Carbon (TOC and TC) and sulfur (TS) contents measured on bulk
powdered rock samples via Eltra CS-2000 and data from Rock-Eval
pyrolysis are summarized in Table 1 and displayed in Figures 6 and
7. The present day TOCpd concentrations range between 1.74 and
3.62 wt. %. The calculated corresponding original TOCo content
(Jarvie et al., 2007) for equivalent immature rocks is 2.39e4.97 wt.
% (Table 2). The representativeness of the examined section is
indicated by the same general trend of TOC data of our 19 samples
compared with the much more densely sampled data set of Greff
and Cheadle (2012; Fig. 6). The C/S ratio, calculated as the elemental
ratio of total organic carbon and total sulfur (TOC/TS), is between
0.56 and 1.57 (Table 1). The present-day HIpd (97e194 mg HC/g
TOC; Table 2) is significantly lower compared with the original HIo
(331e426 mg HC/g TOC) as a result of hydrogen depletion in
kerogen during the partial transformation of kerogen into hydrocarbons. There is a weak positive correlation between TOC content
and the hydrocarbon potential (based on Rock-Eval’s S2 values;
R2 ¼ 0.60 by linear regression), but our data yield no significant
correlation between TOC and HI. Only a very weak correlation with
R2 ¼ 0.20 (linear regression) exists for the upper portion of the
section (samples #1e14, Fig. 6) where HI generally follows TOC
values.
Figure 4. Photomicrographs of thick sections (pellets) in reflected (A, B, C) and fluorescent (D, E, F) light under optical microscope with oil immersion of polished mudstone
samples from well 07-19-45-6W5. SB: solid bitumen in isolated zone; Py: pyrite; V: vitrinite; CT: carbonates; Fm: foraminifera; Ld: liptodetrinite; Ag: alginite.
Table 1
Total organic carbon (TOC), total carbon (TC) and total sulfur (TS) contents, Rock-Eval pyrolysis results, mineral composition, and porosity data for samples from well 07-19-45-6W5.
TC
1
2
3
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
4.88
4.27
6.05
9.85
5.62
8.25
5.27
4.93
3.64
2.71
2.74
2.94
3.39
8.00
5.94
4.01
3.97
3.47
3.05
Average:
Range:
1794.5
1798.4
1805.6
1810.3
1813.7
1818.8
1821.7
1822.6
1823.7
1826.6
1833.3
1834.5
1840.9
1846.4
1848.9
1855.2
1860.1
1863.1
1869.8
2.98
2.68
3.32
1.74
3.37
2.04
3.54
2.60
3.18
2.22
2.01
2.48
2.78
3.62
3.35
3.15
2.58
3.27
3.41
TS
2.51
2.01
2.57
1.11
2.44
1.45
2.70
3.98
2.99
2.85
2.77
2.87
2.62
3.24
3.16
2.78
4.61
2.70
4.52
C/S ratio
1.19
1.34
1.29
1.57
1.38
1.41
1.31
0.65
1.06
0.78
0.73
0.87
1.06
1.12
1.06
1.13
0.56
1.21
0.75
Ro (%)
0.74
0.79
0.77
0.8
0.8
0.78
0.78
0.85
0.76
0.78
0.78
0.75
0.78
0.83
0.78
0.75
0.87
0.78
0.76
OI
S1
Tmax ( C) HI
(mg HC/ (mg CO2/
(mg HC/
g TOC) g TOC)
g rock)
S2
439
442
440
444
442
441
442
439
438
441
441
439
439
442
444
445
446
441
440
4.35
3.21
4.85
2.09
5.07
2.99
4.59
3.39
3.73
2.30
2.39
2.89
3.56
3.51
6.51
3.69
4.22
5.14
3.86
146
120
146
120
151
146
130
130
117
104
119
116
128
97
194
117
164
157
113
22
24
23
48
24
39
22
28
19
30
37
32
33
19
24
19
30
22
21
2.86
4.89
2.84
1.08
0.79
441.32
132.45 27.10
1.74e3.62 2.71e9.85 1.11e4.61 0.56e1.57 0.74e0.87 438e446 97e194 19e48
1.83
1.56
1.78
1.03
2.14
1.61
1.82
1.74
1.70
1.40
1.31
1.46
1.80
1.67
2.66
1.76
1.98
1.99
2.17
S3
Quartz Albite Calcite Dolomite Ankerite Illite
(wt. %)
0.65
0.64
0.76
0.83
0.80
0.79
0.77
0.73
0.60
0.66
0.74
0.80
0.92
0.70
0.81
0.61
0.76
0.73
0.71
34
34
32
14
34
22
36
33
34
35
38
36
36
22
30
34
35
44
36
11
11
8
4
10
4
4
9
10
10
10
15
14
8
12
12
9
12
12
12
12
21
21
13
13
9
4
0
0
2
1
2
25
14
4
10
1
0
1.76
3.81
0.74
33
10
9
1.03e2.66 2.09e6.51 0.60e0.92 14e44 4e15 0e25
Kaolinite Chlorite Pyrite Porosity
(vol. %)
3
3
3
44
3
36
4
12
3
2
1
1
1
0
0
0
4
1
0
0
0
1
0
1
0
0
9
1
1
0
0
0
0
0
0
0
0
0
28
31
24
12
28
18
34
21
36
36
34
33
33
29
32
35
25
27
27
4
5
5
2
6
3
6
6
8
7
7
5
5
8
6
7
6
6
10
6
0e44
1
0e9
29
6
12e36 2e10
3
1
1
1
1
1
2
2
3
3
4
5
4
2
1
3
4
4
3
4
3
5
2
4
3
5
5
5
5
4
4
4
5
5
4
7
5
12
2.1
2.5
1.7
2.5
4.4
3.2
2.7
2.5
5.0
3.0
4.1
4.3
3.5
2.9
2.6
3.3
2.2
2.9
2.0
2
1e5
5
3.0
2e12 1.7e5.0
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Sample Depth TOC
number (m)
(wt. %)
TOC e total organic carbon (wt. %); TC e total carbon (wt. %); TS e total sulfur (wt. %); C/S e total organic carbon (TOC) to total sulfur (TS) ratio; Ro e measured vitrinite reflectance (%); Tmax etemperature ( C) at the maximum of
the S2 peak; HI e Hydrogen Index ¼ [(S2 100)/TOC] (mg HC/g rock); OI e Oxygen Index ¼ [(S3 100)/TOC] (mg CO2/g rock); S1 e volatile hydrocarbon (HC) content (mg HC/g rock); S2 e remaining HC generative potential
(mg HC/g rock); S3 e carbon dioxide content (mg CO2/g rock). Sample #4 was not included.
71
Age
Belle Fourche Formation
Upper Cretaceous
Period
Cenomanian
93 Ma
Colorado Group
Second White Specks Formation
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Turonian
72
Sample Depth
name
(m)
Ro
(%)
Maceral composition (vol. %)
0
10
20
30
40
50
1
1794.50
0.74
5
2
1798.40
0.79
3
3
1805.60
0.77
5
1810.25
0.80
6
1813.70
0.80
73
7
1818.75
0.78
76
8
1821.70
0.78
81
5 5
60
70
80
90 100
79
10
5
81
10
4
83
10
5
90
15
8
15
5
10
5
9
1822.60
0.85
3
10
1823.70
0.76
5
80
8
5
11
1826.55
0.78
8
75
10
5
12
1833.30
0.78
10
70
13
1834.50
0.75
14
1840.90
0.78
15
1846.40
0.83
16
1848.90
0.78
17
1855.20
0.75
18
1860.10
0.87
19
1863.10
0.78
20
1869.80
0.76
Alginite
15
63
8
20
10
AOM
Other
liptinite
10
10
15
15
49
10
20
64
10 4
17
64
8
63
3
10
20
63
5
10
15
64
8
8
15
65
5
6
10
73
Vitrinite
+ inertinite
5
9
5
13
20
Solid bitumen
Figure 5. Maceral composition (vol. %) and measured vitrinite reflectance Ro (%) for 19 samples from well 07-19-45-6W5. Alginite, amorphous organic matter (AOM), and other
liptinites belong to the liptinite group. Vitrinite and inertinite jointly represent terrigenous material in mudstone samples. Solid bitumen is present as secondary, residual organic
matter after oil generation and partial expulsion.
Selected biomarker distributions from samples #16 and 18 from
the lower portion of the Belle Fourche Fm. include n-alkanes (m/
z ¼ 85), acyclic isoprenoids (m/z ¼ 183), and diasteranes (m/z ¼ 217)
(Fig. 7). Geochemical indices for these samples are listed in Table 3.
Analyses of the aliphatic F1 hydrocarbon fractions provided the
following observations: (i) n-alkanes are present primarily in the
C12eC40 range and exhibit a slight predominance of homologues
with even carbon numbers (CPI > 1; Table 3) and greater abundances of homologues in the range from C12 to C26 (S1/S2 > 4;
Table 3); (ii) acyclic isoprenoids occur in a range from C15 to C30
with a dominance of pristane (Pr, IP-C19) and phytane (Ph, IP-C20);
(iii) diasteranes range from C27 to C30 with enhanced abundance of
C28 diasterane (Table 3). Only trace amounts of hopanoids (m/
z ¼ 191) were detected with predominance of Tm (17a (H)-22, 29,
30-trisnorhopane). Therefore, the ratio of hopanes to steranes
would be extremely low.
3.3. Mineralogy
The mineral composition (by wt. %) and its changes over depth
for samples from well 07-19-45-6W5 are presented in Table 1 and
Figure 6, respectively. The shales are composed of clay minerals
(illite, kaolinite, chlorite), quartz, feldspar (albite), carbonates
(calcite, dolomite, ankerite), and pyrite. The selection of samples
represents all identified lithofacies across the section (Fig. 3). The
upper part of the core within the Second White Specks Fm. (depth
range 1794e1823 m; samples #1e9) is generally more calcareous
than the underlying Belle Fourche Fm., and includes two carbonate-
rich horizons (mainly as carbonate cement) represented by samples
#5 and 7. The lower part within the Belle Fourche Fm. (depth range
1823e1870 m; samples #10e20) is characteristically quartz- rich
and clay-rich with low carbonate content (Bloch et al., 1999, 2002).
Exceptions are samples #15 and 18 with higher contents of carbonates. Carbonate in sample #15 predominantly represents large
shell fragments and abundant microfossils that are visible in the
core, whereas carbonate in sample #18 reflects carbonate cement
within sandy material as observed in thin-sections. The ternary
mineral distribution diagram (Fig. 9A) reveals a general dominance
of clay minerals mixed with quartz and albite.
3.4. Porosity
Porosity measurements and investigations of pore-size distribution play important roles in the study of unconventional resources and contribute to a better understanding of storage and
migration pathways of hydrocarbons within fine-grained rocks
(O’Brien et al., 1996, 2002; Kuila and Prasad, 2011; Ross and Bustin,
2009; Slatt and O’Brien, 2011). Total porosity quantified via He
porosimetry varies between 1.7 and 5.0 vol. % (Table 1) in our
samples over depth (Fig. 6). Gas adsorption measurements with
CO2 and N2 gases under low pressures yielded micro- and mesopore volumes (cm3/g) and surface areas (m2/g) (Table 4). The examples of adsorptionedesorption isotherms of N2 (Fig. 10A) all
show hysteresis that is characteristic of Type IV isotherms (as per
IUPAC classification; Sing, 1985). Samples #11 and 12 (Fig. 10A)
indicate greater abundances of mesopores (more open hysteresis
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
73
Figure 6. Geochemical parameters, mineralogy, and total porosity over depth for 19 samples from well 07-19-45-6W5. The gamma-ray log (GR) in GAPI units (Gamma-ray,
American Petroleum Institute; Hoppie et al., 1994) is plotted on the left side. TOC data added from Greff and Cheadle (2012).
Hydrogen Index (HI, mg HC/g TOC)
A
1000
B
TYPE I
1000
900
900
800
800
700
700
TYPE II
600
600
Immature Mature
Oil
TYPE I
Window
oil prone
usually lacustrine
Condensate
- Wet Gas Zone
micropore volumes. Macropores with diameters >100 nm cannot
be measured with CO2 or N2 low-pressure gas adsorption techniques, and therefore macropore volumes were calculated via
subtraction of the sum of micro- and mesopore volumes from total
pore volumes. The ternary diagram of pore types distribution
(Fig. 9B) shows a general dominance of micro- and mesopores over
loop) and micropores (greater volume of gas adsorbed at P/
Po < 0.01) compared with samples #7 and 20. A greater gas volume
uptake at P/Po near 1.0 indicates greater total porosity (Kuila and
Prasad, 2011) in agreement with our porosimetry measurements.
A comparison of samples #7 and 10 relative to samples #5 and 20
(Fig. 10B) shows that stronger CO2 adsorption relates to enhanced
Postmature
Dry Gas Window
TYPE II
oil prone
usually marine
Oil
500
500
400
400
Mixed
TYPE II-III
oil-gas-prone
300
300
200
Gas
TYPE III
100
200
100
TYPE III
gas-prone
TYPE IV
inert
0
0
10
20
30
40
50
60
70
80
90 100
Oxygen Index (OI, mg CO2 /g TOC)
0
400
425
450
475
500
Tmax( C)
Figure 7. Modified van Krevelen diagrams showing the relationships (A) between the hydrogen index HI and the oxygen index OI of kerogen types; and (B) between the hydrogen
indices and Tmax values of kerogen types. Rock-Eval data from 19 mudstone samples from well 07-19-45-6W5 are plotted.
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Table 3
Biomarker ratios and geochemical indicators for rock extracts.
25
45
C40
16
18
C36
C38
C32
35
C34
C24
C28
15
C30
m/z = 85
C12
55
65
Time (min)
35
30
B
m/z = 217
C30S
C27R
C27S
C28R1
C28R2
C28S
C29R1
C29R2
C30R C29S
Intensity
5
Sample no. Pr/Ph S1/S2 CPI R22 index Diasteranes (vol. %)a
A
C26
C22
Ph
C20
C17/ Pr
C18
C14
74
Time (min)
40
macropores in terms of vol. %. The resultant micro-, meso-, and
macropore volumes and corresponding percentages of the total
pore volumes are illustrated in Figure 11. Most pores in our set of
mudstone samples are mesopores (2e50 nm B) and on average
represent 49 vol. % (range 34e67 vol. %) of the total pore volume.
Less abundant micropores (<2 nm B) account for 34 vol. % on
average (range 6e60 vol. %) of the total pore volume. Macropores
average around 17 vol. % and account for as much as 57 vol. % of the
total pore volume in sample #7, but were undetectable in some
other samples. A comparison of ternary distribution diagrams
illustrating micro-, meso, and macropore volumes as percentages of
Table 2
Transformation ratio TRHI of kerogen into hydrocarbons based on the original
hydrogen index HIo (calculated) and present day HIpd (measured by Rock-Eval) and
original TOCo calculated from present day TOCpd obtained from measurements on
Eltra CS-2000. All calculations are based on algorithms provided by Jarvie et al.
(2007).
TRHI (%)
HIo
HIpd
4.6
4.9
1.4 1.0
1.3 1.0
C28
C29
21
22
47
43
32
35
MPI 1 MPI 2
0.47
0.49
0.57
0.57
Pr/Ph e pristane/phytane (ten Haven et al., 1987).
P
P
S1 =S2 ¼
ðn C12 n C26 Þ
ðn C27 n C40 Þ:
CPI
e
carbon
preference
index,
based
on
n-alkanes:
P
CPI ¼ 0:5 ½ ðn C25 n C33 Þodd þ
P
P
½ ðn C23 n C31 Þodd =½ ðn C26 n C34 Þeven :
R22 index (based on n-alkanes; ten Haven et al., 1988) R22 ¼ 2 n-C22/(n-C21 þ nC23).
MPI e methylphenanthrene indices (thermal maturity indicators; Radke and Welte,
1981):
MPI 1 ¼ 1:5ð2 MP þ 3 MPÞ=ðP þ 1 MP þ 9 MPÞ; MPI 2 ¼ 3ð2 MPÞ=ðP þ 1 MP þ 9 MPÞ; where P ¼ phenanthrene and 1-MP, 2MP, 3-MP, and 9-MP are the 1-, 2-, 3-, and 9-methylphenanthrenes, respectively.
a
A proportion of diasteranes represented by the volumetric percent calculated
based on the sum of the peak area within a certain group of homologues from C27 to
C29.
45
Figure 8. Mass chromatograms showing distributions of n-alkanes (m/z ¼ 85) and
acyclic isoprenoids (m/z ¼ 183) presented in (A), and diasteranes (m/z ¼ 217) in (B) for
sample #16 from the lower portion of the Belle Fourche Fm.
Sample number
1.6
1.7
C27
TOCo
(mg HC/g TOC)
(wt. %)
TOCpd
1
2
3
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
75
80
75
79
73
71
78
76
80
83
78
79
77
81
60
75
65
68
73
424
426
424
405
408
376
421
395
421
421
399
399
399
379
376
357
361
375
331
146
120
146
120
151
146
130
130
117
104
119
116
128
97
194
117
164
157
113
4.06
3.72
4.60
2.39
4.60
2.60
4.97
3.46
4.46
3.05
2.65
3.32
3.74
4.95
4.33
4.10
3.25
4.27
4.36
2.98
2.68
3.32
1.74
3.37
2.04
3.54
2.60
3.18
2.22
2.01
2.48
2.78
3.62
3.35
3.15
2.58
3.27
3.41
Average:
Range:
75
60e83
394
331e426
132
97e194
3.84
2.39e4.97
2.86
1.74e3.62
total porosity (Fig. 9B) and mineral compositions (Fig. 9A) suggests
associations between pore sizes and mineral composition. Macropore volumes correlate better with total pore volumes (R2 ¼ 0.74)
than with micro- or mesopore volumes (Fig. 12) and seem to be
mostly responsible for changes in total porosity. No positive correlation was observed for the entire set of samples between TOC
and total pore volume, as well as for TOC and micropore volume
based on porosity measurements on samples ground to 4e7 mesh
and 60 mesh grain size (Fig. 13).
Pore-throat size distributions determined by MICP were
measured on samples #9 and 11 (Fig. 14). MICP results indicated
that both samples contain mesopores, but only sample #9 showed
evidence for macropores. The combination of He porosimetry and
low-pressure gas adsorption techniques did not indicate the
presence of macropores in sample #11 because the sum of microand mesopore volumes (derived from low-pressure gas adsorption) exceeded the total pore volume measured by He porosimetry. Similar situations for samples #3, 5, 8, 9, 18, and 20 suggest
that micro- and mesopores alone account for total pore volumes,
which implies the near-absence of macroporosity. This apparent
discrepancy is rooted in the application of different methodologies (MICP, low-pressure gas adsorption, and He porosimetry) to
jointly assess rock porosity in spite of imperfect compatibility of
methods. The MICP-derived permeability measurements on
samples #9 and 11 show values of 3.42$10 5 and 3.32$10 5 mD
(Fig. 14), respectively, confirming the tight, low-permeability
character of the rocks. Mudstones containing quartz plus feldspar above a threshold of 65 wt. % commonly express higher
permeability on the order of 10 3 mD than samples below the
threshold with permeability between 1$10 3 and 6.5$10 7 mD
(Chalmers and Bustin, 2012). The bulk quartz plus albite content
(either represented by grains, cements, micro- to macrofossils,
etc.) in our samples is typically <56 wt. % in agreement with
observed low permeability.
4. Discussion
4.1. Characterization of the hybrid source rock/reservoir formations
The present day TOCpd concentrations between 1.74 and
3.62 wt. % indicate good to excellent organic richness (Peters, 1986).
Organic matter in all mudstone samples is classified as marine
kerogen Type II based on the prevalence of liptinites and limited
input of terrestrial material. Although we cannot directly determine
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
A
B
Quartz + Albite
90
80
80
19 40
(12,13,14)
20
(1,2,6)
18
50
9
8
60
3
16
40
15
30
20
70
30
60
10
90
20
50
(10,11,17)
7
20
Micropores
10
70
75
30
60
20 40
3
50
15
5
16
8
9 60
2 11
12
18
19
70
6
17
1
14
13
50
40
70
30
80
5
20
90
10
10
10
80
90
7
90
80
70
60
Carbonates
50 40
(wt. %)
30
20
90
10
Clays
80
70
Macropores
60
50 40
(vol. %)
30
20
10
Mesopores
Figure 9. Ternary distribution diagrams illustrating (A) mineral composition (wt. %) and (B) pore size distribution (vol. %) for 19 samples from well 07-19-45-6W5. Open circles
represent data for samples from the Second White Specks Fm.; filled circles e data from the Belle Fourche Fm.
the origin of the AOM, the presence of marine alginite and marine
planktonic microorganisms (foraminifera; Caldwell et al., 1978;
Strong, 1972) strongly suggests that the AOM is also composed of
marine OM and likely represents microbially reworked algal material. The predominance of short-chain n-alkanes (S1/S2 > 4;
Table 3 and Fig. 7A) indicates a mainly phytoplanktonic source of
OM in samples #16 and 18 (Blumer et al., 1971). The greater cumulative abundance of C28-diasterane homologues compared with
the sum of C27- and C29-diasterane homologues indicate a marine
paleoenvironment with a highly productive photic zone (Grantham
and Wakefield, 1988; Schwark and Empt, 2006). Marine settings are
also indicated by the presence of C30-diasterane homologues producing ions with mass 414 (Moldowan, 1984, Fig. 7B). The Pr/Ph
ratio of about 1.65 suggests oxic water column conditions during
deposition (ten Haven et al., 1987), but we note that a similar range
of Pr/Ph ratios from Eocene organic-rich shales in the Beibuwan
Basin was interpreted in terms of a less oxic to dysoxic depositional
environment (Huang et al., 2013). The R22 index below 1.5 (Table 3)
does not indicate hypersaline conditions (ten Haven et al., 1988).
The C/S ratio (TOC/TS) in a range 0.56e1.57 is considered to be
indicative of a marine depositional paleoenvironment as well,
based on a concept provided by Berner and Raiswell (1984), where
the C/S ratio is used as a general proxy for distinguishing ancient
marine from freshwater sedimentary rocks. The plots of modified
van Krevelen diagrams in Figure 7 are consistent with petrographic
observations (Figs. 4 and 5) and also characterize OM as primarily
marine with partial biodegradation. The relatively narrow range of
C/S ratios (0.65e1.57; Table 1) for samples #1e9 within the Second
Table 4
Pore volumes (V, cm3/g) and surface area (SA, m2/g) measured by gas adsorption for 19 samples from well 07-19-45-6W5. Total and macropore volumes were calculated as
described in methods Section 2.5.
Sample
number
He porosimetry
CO2 gas adsorption
N2 gas adsorption
Total pore
volume Vt cm3/g
LMV micropores
cm3/g
MSA micropores
m2/g
BJH AV mesopores
cm3/g
BET SA mesopores
m2/g
Calculated V
macropores
cm3/g
1
2
3
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
0.0082
0.0098
0.0065
0.0096
0.0176
0.0122
0.0108
0.0093
0.0200
0.0113
0.0161
0.0171
0.0141
0.0116
0.0105
0.0134
0.0090
0.0118
0.0075
0.0024
0.0034
0.0035
0.0043
0.0047
0.0007
0.0047
0.0037
0.0022
0.0037
0.0051
0.0042
0.0036
0.0053
0.0045
0.0041
0.0029
0.0038
0.0045
7.3
5.3
4.9
2.7
5.4
9.8
6.3
4.1
9.8
7.8
7.9
8.1
6.7
5.5
5.8
6.6
5.4
5.4
3.2
0.0055
0.0051
0.0030
0.0052
0.0059
0.0045
0.0061
0.0056
0.0071
0.0076
0.0081
0.0073
0.0069
0.0040
0.0045
0.0071
0.0060
0.0056
0.0030
1.9
1.8
2.3
1.6
1.8
1.1
2.3
1.8
2.4
2.9
2.8
2.7
2.2
2.1
1.5
2.4
2.6
1.6
0.8
0.0004
0.0013
0.0000
0.0000
0.0070
0.0069
0.0000
0.0000
0.0107
0.0000
0.0029
0.0056
0.0037
0.0023
0.0014
0.0022
0.0000
0.0024
0.0000
Average:
Range:
0.0119
0.0065e0.0200
0.0038
0.0007e0.0053
6.2
2.7e9.8
0.0057
0.0030e0.0081
2.0
0.8e2.9
0.0025
0.0000e0.0107
Vt e total pore volume; LMV e DubinineAstakhov: limiting micropore volume; MSA e DubinineRadushkevich: micropore surface area; BJH AV e BarreteJoynereHalenda
adsorption cumulative volume of pores between 2.0 and 50.0 nm width; BET SA e Brunauer, Emmett and Teller surface area; calculated V (volume) macropores e explained in
methods Section 2.5.
A
B
6
Surface area:
#11 (2.88 m /g)
#12 (2.76 m /g)
#7 (1.11 m /g)
#20 (0.83 m /g)
5
4
3
2
1
0
0
0.2
0.4
0.6
0.8
1.0
Quantity of CO2 Adsorbed (cm³/g STP)
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Quantity of N2 Adsorbed (cm³/g STP)
76
0.7
Micropore surface area:
#10 (9.84 m2/g)
#7 (9.74 m2/g)
#20 (3.24 m2/g)
#5 (2.69 m2/g)
0.6
0.5
0.4
0.3
0.2
0.1
0
0
0.005
Relative Pressure (P/Po)
0.010
0.015
0.020
0.025
0.030
Relative Pressure (P/Po)
Figure 10. (A) Adsorptionedesorption isotherms of N2 at the temperature of liquid N2 (77.3 K), and (B) adsorption isotherms of CO2 gas for two samples with the lowest and two
samples with the highest surface areas for mesopores (based on the Brunauer, Emmett and Teller formula) and micropores (DubinineRadushkevich formula), respectively.
STP ¼ standard temperature and pressure.
variance of Tmax among samples (Fig. 6) may be related to differences in proportions of individual macerals, whereas variations of
Ro (Fig. 5) may be related to mineralogical differences, to depositionally induced maturation of vitrinite (Goodarzi et al., 1993;
Hutton and Cook, 1980; Jones et al., 1971), and to analytical uncertainty due to the limited number of vitrinite particles and
number of Ro measurements available. The absence of a strong
correlation between Tmax and Ro suggests the influence of
different factors causing variations in the two maturity parameters. Biomarkers such as methylphenanthrene indices MPI 1 and
MPI 2 (Table 3) are established thermal maturity indicators and
suggest the same level of maturity (Radke and Welte, 1981).
Tabulated Rock-Eval data that had been previously measured on
Percentages of total porosity
0
20
40
60
80
Pore volume (cm3/g)
100
0.0000
1794.50
1
2
1798.40
2
3
1805.60
3
5
1810.25
5
6
1813.70
6
7
1818.75
7
8
1821.70
8
9
1822.60
9
10
1823.70
10
11
1826.55
11
12
1833.30
13
1834.50
14
1840.90
15
1846.40
16
1848.90
16
17
1855.20
17
18
1860.10
18
19
1863.10
19
20
1869.80
20
macropores
(0-57 vol. %)
1
mesopores
(34-67 vol. %)
Belle Fourche Formation
Period
Age
Sample Depth
number (m)
micropores
(6-60 vol. %)
Turonian
Colorado Group
Second White Specks Formation
93
Ma
Cenomanian
Upper Cretaceous
White Specks Fm. and the strong positive correlation between TOC
and TS contents (R2 ¼ 0.96) in these samples suggest incorporation
of sulfur into reactive OM (Zaback et al., 1993) during an oceanic
anoxic event (Arthur and Schlanger, 1979; Arthur et al., 1987;
Jenkyns, 1980; Schlanger and Jenkyns, 1976; Schlanger et al.,
1987) with elevated productivity (Pedersen and Calvert, 1990) at
the CenomanianeTuronian boundary. Overall, geochemical and
petrographic classification of OM as kerogen Type II corresponds
well with previous interpretations of the depositional paleoenvironment of the Second White Specks Fm. (Bloch et al., 1999, 2002).
The Rock-Eval thermal maturity indicator Tmax (438e446 C)
and vitrinite reflectance values (Ro 0.74e0.87%) indicate the midmature OM within the oil window for the entire section. The
0.0050
0.0100
0.0150
0.0200
12
13
14
15
LMV micropores
BJH AV mesopores
Calculated V macropores
Figure 11. Pore size distribution of micro-, meso-, and macropores (vol. %) over depth in mudstone samples from well 07-19-45-6W5. LMV e DubinineAstakhov: limiting
micropore volume; BJH AV e BarreteJoynereHalenda adsorption cumulative volume of pores between 2.0 and 50.0 nm width; calculated V (volume) macropores e explained in
methods Section 2.5. Note the general larger pore volume (particularly of macropores) in the Belle Fourche Fm. relative to the Second White Specks Fm.
Total pore volume V t (cm 3/g)
0.012
0.010
R² = 0.74
0.008
LMV micropores
BJH AV mesopores
0.006
Calculated V macropores
R² = 0.45
0.004
Linear (BJH AV
mesopores)
0.002
Linear (Calculated V
macropores)
Total pore volume Vt (cm3/g)
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
0.0250
77
A
0.0200
0.0150
0.0100
0.0050
0.0000
0.000
0.000
0
0.005
0.010
0.015
0.020
1
0.025
4
3
4
3
4
Micropore volume (cm 3/g)
B
0.006
0.005
0.004
0.003
4-7 mesh grain size
0.002
0.001
0.000
0
1
2
TOC (wt. %)
0.014
Micropore volume (cm3/g)
fresh core samples (Alberta Geological Survey Open File Reports,
2008e11) show the same HI range as measured in our study
(w100e200). In contrast, the former OI range of 4e9 is much
lower compared with our new OI range of w20e50. It is possible
that oxidation of the core during long-term storage since drilling
in 1979 has caused the increase in oxygen index, or the earlier
measurements were in error. Regardless of the reason, the new OI
data plot closer to the range typical for kerogen Type III (Fig. 8).
The Second White Specks Fm. has generated and expelled hydrocarbons into adjacent reservoirs in the geologic past. Consequently, Rock-Eval S2 peaks are small (2.09e6.51 mg HC/g rock) and
classify the hydrocarbon potential as mostly poor to good. A weak
correlation between TOC and HI is consistent with an expulsion of
hydrocarbons from source rocks. Once inside the oil window, primary cracking converted 60e83 wt. % of the kerogen into hydrocarbons (Table 2). Most hydrocarbons were subsequently expelled
as oil and early gas, whereas the residual, least mobile hydrocarbon
fraction was trapped in open spaces as solid bitumen forming a
secondary maceral (Jacob, 1989; Landis and Castaño, 1995). The
relatively abundant solid bitumen in our samples (5e20 vol. %,
Fig. 5) agrees with earlier suggestions that oil generation in the
Second White Specks Fm. may have occurred west of 115 longitude in southern Alberta (Bloch et al., 1999; Creaney and Allan,
1992; Macauley, 1984a), including the area around well 07-19-456W5 (Fig. 1). The residual 17e40 wt. % of kerogen is the basis for the
remaining hydrocarbon potential.
The MICP-derived permeability data (3.37$10 5 mD on average)
confirm the tight, low-permeability character of the rocks and
underscore the necessity of hydraulic fracturing during hydrocarbon production. The brittleness index for the Second White Specks
Fm. averaged 47% with a range of 39e61%. The Belle Fourche Fm.
averaged slightly lower at 42% with a range from 25 to 46%. These
values indicate good brittleness for both formations. Total pore
volumes and macropore-sized porosity are larger for the Belle
Fourche Fm. compared with the Second White Specks Fm. (Table 4
and Fig. 11). The average macropore volume for the Belle Fourche
Fm. was 0.0028 cm3/g, whereas the Second White Specks Fm.
measured only 0.0019 cm3/g. These differences in pore volumes
suggest that the upper part of the Belle Fourche Fm. (samples #10e
14 on Fig. 11) is potentially a better hydrocarbon reservoir due to
larger porosity. The larger proportion of macropores likely enhances permeability in quartz- and clay-rich sediments (Medina
et al., 2011).
3
0.007
Pore volume (cm 3/g)
Figure 12. Cross plot of total pore volume and volumes of micro-, meso-, and macropores for 19 mudstone samples from well 07-19-45-6W5. LMV e DubinineAstakhov: limiting micropore volume; BJH AV e BarreteJoynereHalenda adsorption
cumulative volume of pores between 2.0 and 50.0 nm width; calculated V (volume)
macropores e explained in methods Section 2.5. All correlations are represented by
linear regressions.
2
TOC (wt.%)
C
0.012
0.010
0.008
0.006
60 mesh grain size
0.004
0.002
0.000
0
1
2
TOC (wt. %)
Figure 13. Cross plot of TOC content (wt. %) with (A) total pore volume (Vt; cm3/g); (B)
micropore volume (cm3/g) measured on 4e7 mesh grain size; and (C) micropore
volume (cm3/g) measured on 60 mesh grain size samples.
4.2. Impact of organic matter and mineral composition on porosity
Changes in thermal maturation of OM have been suggested as a
cause for development of porosity in mudstones due to the conversion of OM to gaseous and liquid hydrocarbons (e.g., Curtis et al.,
2012; Jarvie et al., 2007; Loucks et al., 2009; Mastalerz et al., 2013;
Modica and Lapierre, 2012). However, the constant level of thermal
maturity across the studied profile (Table 1) excludes maturity as an
important factor. Vertical changes in porosity along the section are
likely due to variations in organic and mineral composition.
Although some studies have documented enhanced total porosity
with increasing OM content (Haynes and Naidu, 1998; Mastalerz
et al., 2012; Ross and Bustin, 2009), such a relationship is not
observed for our suite of samples due to the narrow range of TOC
contents. Also, no positive correlations were observed for TOC
content versus micropore volume measured on 4e7 mesh and 60
mesh grain fractions (Fig. 13). Reducing the grain size from 4e7
mesh to 60 mesh doubled the pore volume as a greater surface was
exposed to the penetrating CO2 gas. Mudstones with a strong
78
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Meso
Macro
Incremental Pore Space (fraction)
0.15
3.32 .10-5 mD
0.10
sample #9
3.42 .10-5 mD
sample #11
0.05
0.00
1
10
100
1000
10000
100000
1000000
Pore Size (nm)
Figure 14. MICP-derived pore size distributions and Swanson permeability for sample
#9 from the Second White Specks Fm. and sample #11 from the Belle Fourche Fm.
(1822.60 m and 1826.55 m depth, respectively) in well 07-19-45-6W5.
correlations mainly to the relatively homogenous mineral composition. The situation is exacerbated by the narrow ranges of mineral
concentrations among samples for each mineral group. Additionally, all samples contain solid bitumen (Fig. 5) as a testimony to
primary cracking of kerogen to oil. The presence of solid bitumen
causes porosity reduction (Bernard et al., 2012; Loucks et al., 2009;
Vandenbroucke and Largeau, 2007) and is especially visible in
samples #15e20 of the Belle Fourche Fm. (Fig. 6). The presence of
solid bitumen/pyrobitumen has a variable effect on different pore
size fractions (from 1 to 50 nm; Bernard et al., 2012).
A future study of rocks from the Second White Specks and Belle
Fourche formations should specifically include samples from
different maturity zones with a wider range of TOC values and
more diverse mineral compositions to help analytically deconvolute the roles of various parameters on porosity during thermal
maturation.
5. Conclusions
correlation between OM content and micropore volume are usually
richer in OM than the sediments studied here. Perhaps OM must
exceed a certain concentration threshold or represent a wider
range in order to contribute significantly to the total porosity
(Chalmers and Bustin, 2007; Clarkson et al., 2013; Ross and Bustin,
2009; Stra˛ po
c et al., 2010). The lack of correlation between TOC and
meso- or macropore volume suggests that the OM contribution to
mesopores and macropores is either very low, or that other factors
(e.g., mineral pores or matrix porosity) obscure the OM influence
on porosity. Combining the TOC and clay mineral contents did not
result in a strong positive correlation with the micropore volume
either (R2 w 0.24).
Based on the fact that in this study neither maturity nor OM
content is main factors influencing porosity, we concluded that the
mineral composition must exert main control over porosity
changes and pore size distribution. Scanning electron microscopy
(SEM) has been widely used to document the presence of intraparticle and interparticle pores within and among minerals (e.g.,
Loucks et al., 2012; Slatt and O’Brien, 2011; Tian et al., 2013).
Numerous studies have stressed the importance of clay minerals for
mudstone porosity (Javadpour, 2009; Loucks et al., 2009; Kuila and
Prasad, 2011; Chalmers and Bustin, 2012) and microporosity
(Mastalerz et al., 2012). However, a cross-plot of total porosity and
the contents of mineral groups (i.e. quartz þ albite, clays, and carbonates) for our set of samples does not yield strong correlations, in
spite of a tendency of slightly increasing total porosity with
increasing concentrations of clay minerals, quartz and albite
(Fig. 15). We attribute our sample set’s inability to yield significant
Mineral content (wt. %)
70
60
Quartz+Albite
50
R² = 0.03
Clays
40
Carbonates
R² = 0.15
30
Linear
(Quartz+Albite)
20
Linear (Clays)
10
0
0
1
2
3
4
5
6
Total porosity (vol. %)
Figure 15. Cross plot of total porosity (vol. %) and mineral content (wt. %) for 19
samples from well 07-19-45-6W5. All correlations are represented by linear
regressions.
Representative mudstones across a depth interval from
1793.5 m to 1871.0 m (77.5 m thick) from the Upper Cretaceous
Second White Specks and Belle Fourche formations in central
Alberta were analyzed to evaluate their potential as emerging
hybrid source rock/reservoir formations. Organic petrography, bulk
geochemistry, biomarkers, mineralogy, and porosimetry provide
insights into the depositional paleoenvironment, mineralogical
heterogeneity, maturity, and remaining hydrocarbon potential. The
two lithologically different units of dark gray to black pyritic
mudstones exhibit different carbonate contents, abundant silty
and/or calcareous laminations, and occasional ripples, calcareous
shells of bivalves, fish bones, and fish scales.
Organic matter is dominantly kerogen Type II of marine origin
with limited contributions of terrigenous organic components
(mainly 1e2% by volume on a mineral matter-free basis). This
petrographic result agrees with characteristics obtained from RockEval data and highlights the importance of combining both techniques when evaluating reservoir and source rock characteristics of
organic-rich mudstones. The liptinite maceral group, including
alginite, liptodetrinite, and amorphous organic matter, accounts for
70e95 vol. % of total organic matter on a mineral matter-free basis.
Abundant solid bitumen in some horizons (e.g., samples #5, 15e20)
and the estimated 60e83% transformation ratio of kerogen to hydrocarbons indicate primary cracking of kerogen into oil followed
by limited expulsion. High transformation ratios explain the relatively poor remaining hydrocarbon potential of 2.09e6.51 mg HC/
g rock.
Rock-Eval data indicate good to excellent organic richness based
on present-day TOCpd content between 1.74 and 3.62 wt. %. Both
Rock-Eval (Tmax 438e446 C) and petrographic-derived (Ro 0.74e
0.87%) thermal maturity parameters indicate a mid-mature character of the source rock across the entire section, which is comparable with a position within the oil window. The potential for the
presence of in-situ liquid hydrocarbons in these formations is
suggested by the relatively high content of marine organic matter,
oil window maturity, low permeability (3.37$10 5 mD on average),
a total porosity from 2 to 5 vol. % (average 3 vol. %), and a total pore
volume between 0.0065 and 0.0200 cm3/g. The upper Belle Fourche
Fm. has better reservoir properties compared to the calcareous
mudstones of the Second White Specks Fm. due to larger porosity
and more abundant macropores (>50 nm B). The calculated brittleness index in the Belle Fourche Fm. (42% on average) is only
slightly lower than in the Second White Specks Fm. (47% on
average) and indicates good brittleness across the entire section
(Jarvie et al., 2007). The slightly elevated brittleness of the Second
White Specks Fm. may be due to its higher carbonate content.
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
The total pore volume shows a stronger correlation with macroporosity (R2 ¼ 0.74) than with micro- and mesoporosity suggesting that macropores are mostly responsible for changes in total
porosity within the section. However, the volumetric contribution
mainly relies on meso- and micropores (49 vol. % and 34 vol. % on
average, respectively), ahead of macropores (average around 17 vol.
%). The absence of strong correlations between porosity (pore
volume) and organic matter content or mineral composition among
the samples of the studied core is being attributed to the lack of
strong variances in (i) TOC contents (i.e. relatively low concentrations and narrow range of TOC values), (ii) organic matter type (i.e.
uniform kerogen Type II), and (iii) constant thermal maturity (i.e. in
the oil window), and perhaps (iv) relatively narrow ranges of
mineral contents within designated mineral groups of studied rock
samples. Therefore, the complex controls on porosity and pore size
distribution are difficult to deconvolute in the set of samples
expressing limited compositional variance. To resolve these issues,
a future study of rocks from the Second White Specks and Belle
Fourche formations should specifically include samples spanning
wider ranges of maturity, OM characteristics, and mineral composition to improve our understanding of the influences of maturity,
OM characteristics, and mineral contribution on the development
of porosity.
Acknowledgments
Funding for this research was provided by the Tight Oil Consortium that had been initiated by Chris Clarkson. This project was
also partially supported by the U.S. Department of Energy, Basic
Energy Sciences, Grant No. DE-FG02-11ER16246. Additional financial support was received from an ExxonMobil Global Geoscience
Recruiting Grant 2011 for A. Furmann’s research. We thank N. Zajac
for assistance with the stratigraphy of the Second White Specks and
Belle Fourche formations.
References
Alberta Geological Survey, 2008. Open File Reports 2008e11. http://www.ags.gov.
ab.ca/publications/pubs.aspx?series¼ofr.
Arthur, M.A., Schlanger, S.O., 1979. Cretaceous “Oceanic Anoxic Events” as causal
factors in development of reef-reservoired giant oil fields. AAPG Bull. 63 (6),
870e885. http://www.ruf.rice.edu/wctlee/ArthurOAE-cretaceous.pdf.
Arthur, M.A., Schlanger, S.O., Jenkyns, H.C., 1987. The CenomanianeTuronian
Oceanic Anoxic Event, II. Palaeoceanographic controls on organic-matter production and preservation. In: Brooks, J., Fleet, A.J. (Eds.), Marine Petroleum
Source Rocks, Geological Society, London, Special Publications No. 26, pp. 401e
420. http://sp.lyellcollection.org/content/26/1/401.short.
Bernard, S., Horsfield, B., Schulz, H., Wirth, R., Schreiber, A., Sherwood, N., 2012.
Geochemical evolution of organic-rich shales with increasing maturity: a STXM
and TEM study of the Posidonia Shale (Lower Toarcian, northern Germany).
Mar. Pet. Geol. 31, 70e89. http://www.sciencedirect.com/science/article/pii/
S0264817211001450.
Berner, R.A., Raiswell, R., 1984. C/S method for distinguishing freshwater from
marine sedimentary rocks. Geology 12 (6), 365e368. http://dx.doi.org/10.1130/
0091-7613(1984)12<365:CMFDFF>2.0.CO;2.
Bloch, J.D., 1995. Source-rock Potential and Reservoir Characteristics of the Lower
(AlbianeTuronian) Colorado Group, Western Canada Sedimentary Basin.
Geological Survey of Canada. Open File 3036, 71 p. ftp://ftp2.cits.rncan.gc.ca/
pub/geott/ess_pubs/203/203641/of_3036.pdf.
Bloch, J.D., Schröder-Adams, C.J., Leckie, D.A., 2002. The petrology of Late Cretaceous
Colorado group shales from the Pasquia Hills, east-central Saskatchewan: preliminary results. In: Summary of Investigations 2002, vol. 1. Saskatchewan
Geological Survey, Saskatchewan Industry and Resources, pp. 126e133.
Miscellaneous Report 2002-4.1. http://er.gov.sk.ca/adx/aspx/adxGetMedia.
aspx?DocID¼11826,11458,11455,11228,3385,5460,2936,Documents&MediaID¼
36525&Filename¼bloch.pdf.
Bloch, J.D., Schröder-Adams, C.J., Leckie, D.A., Craig, J., McIntyre, D.J., 1999. Sedimentology, micropaleontology, geochemistry and hydrocarbon potential of
shale from the Cretaceous Lower Colorado Group in Western Canada. Geol.
Surv. Can. Bull. 531, 185 p. http://publications.gc.ca/pub?id¼82047&sl¼0.
Bloch, J., Schröder-Adams, C., Leckie, D.A., McIntyre, D.J., Craig, J., Staniland, M.,
1993. Revised stratigraphy of the lower Colorado group (Albian to Turonian),
Western Canada. Bull. Can. Pet. Geol. 41 (3), 325e348.
79
Blumer, M., Guillard, R.R.L., Chase, T., 1971. Hydrocarbons of marine phytoplankton.
Mar. Biol. 8, 183e189. http://link.springer.com/article/10.1007%2FBF00355214.
Caldwell, W.G.E., North, B.R., Stelck, C.R., Wall, J.H., 1978. A foraminiferal zonal
scheme for the Cretaceous system in the interior plains of Canada. In:
Stelck, C.R., Chatterton, B.D.E. (Eds.), Western and Arctic Canadian Biostratigraphy, Geological Association of Canada Special Paper 18, pp. 495e575. http://
www.abebooks.com/book-search/author/c-r-stelck-b-d-e-chatterton-editors/.
Caputo, J., 2011. Shale plays: basic geological and engineering concepts. In: American Association of Professional Landmen’s 57th Annual Meeting, 8e11 June
2011, Boston, MA. http://www.landman.org/docs/white-papers/03-caputo_
aapl_shale_play_seminar_part1_final.pdf.
Chalmers, G.R.L., Bustin, R.M., 2007. The organic matter distribution and methane
capacity of the Lower Cretaceous strata of Northeastern British Columbia,
Canada. Int. J. Coal Geol. 70 (1e3), 223e239. http://dx.doi.org/10.1016/
j.coal.2006.05.001.
Chalmers, G.R.L., Bustin, R.M., 2012. Geological evaluation of HalfwayeDoige
Montney hybrid gas shale e tight gas reservoir, northeastern British Columbia.
Mar. Pet. Geol. 38 (1), 53e72. http://www.sciencedirect.com/science/article/pii/
S0264817212001870.
Chalmers, G.R., Bustin, R.M., Power, I.M., 2012. Characterization of gas shale pore
systems by porosimetry, pycnometry, surface area, and field emission scanning
electron microscopy/transmission electron microscopy image analyses: examples from the Barnett, Woodford, Haynesville, Marcellus, and Doig units. AAPG
Bull. 96 (6), 1099e1119. http://aapgbull.geoscienceworld.org/content/96/6/
1099.short.
Clarkson, C.R., Bustin, R.M., 1999. Effect of pore structure and gas pressure upon the
transport properties of coal: a laboratory and modeling study. 2. Adsorption
rate modeling. Fuel 78 (11), 1333e1344. http://www.sciencedirect.com/science/
article/pii/S0016236199000563.
Clarkson, C.R., Pedersen, P.K., 2011. Production analysis of Western Canadian unconventional light oil plays. In: Society of Petroleum Engineers, Canadian Unconventional Resources Conference, 15e17 November 2011, Calgary, Alberta,
Canada,
23
p.
http://tightoilconsortium.com/presentations/SPE149005_
ClarksonandPedersen_SPECURC_2011.pdf.
Clarkson, C.R., Solano, N., Bustin, R.M., Bustin, A.M.M., Chalmers, G.R.L., He, L.,
ski, A.P., Blach, T.P., 2013. Pore structure characterMelnichenko, Y.B., Radlin
ization of North American shale gas reservoirs using USANS/SANS, gas
adsorption, and mercury intrusion. Fuel 103, 606e616. http://dx.doi.org/
10.2118/j.fuel.2012.06.119.
Creaney, S., Allan, J., 1990. Hydrocarbon generation and migration in the Western
Canada sedimentary basin. In: Brooks, J. (Ed.), Classic Petroleum Provinces,
Geological Society Special Publication 50, pp. 189e202. http://sp.lyellcollection.
org/content/50/1/189.full.pdfþhtml.
Creaney, S., Allan, J., 1992. Petroleum systems in the foreland basins of Western
Canada Sedimentary Basin. In: Macqueen, R.W., Leckie, D.A. (Eds.), Foreland
Basins and Fold Belts, American Association of Petroleum Geologists, Memoir
55, pp. 279e308. http://archives.datapages.com/data/specpubs/basinar3/data/
a136/a136/0001/0250/0279.htm.
Cui, X., Bustin, A.M.M., Bustin, R.M., 2009. Measurements of gas permeability and
diffusivity of tight reservoir rocks: different approaches and their applications.
Geofluids 9, 208e223. http://onlinelibrary.wiley.com/doi/10.1111/j.1468-8123.
2009.00244.x/abstract.
Curtis, M.E., Cardott, B.J., Sondergeld, C.H., Rai, C.S., 2012. Development of organic
porosity in the Woodford Shale with increasing thermal maturity. Int. J. Coal
Geol. 103, 26e31. http://dx.doi.org/10.2118/144370-MS.
Goodarzi, F., Gentzis, T., Snowdon, L.R., Bustin, R.M., Feinstein, S., Labonte, M., 1993.
Effect of mineral matrix and seam thickness on reflectance of vitrinite in high to
low volatile bituminous coals: an enigma. Mar. Pet. Geol. 10 (2), 162e171. http://
www.sciencedirect.com/science/article/pii/026481729390021J#.
Grantham, P.J., Wakefield, L.L., 1988. Variations in the sterane carbon number distributions of marine source rock derived crude oils through geological time.
Org. Geochem. 12 (l), 61e73. http://www.sciencedirect.com/science/article/pii/
0146638088901155#.
Greff, K., Cheadle, B., 2012. Conventional oil petroleum system of the Cenomaniane
Turonian Blackstone formation, Ferrier-Willesden Green-Gilby area, westcentral Alberta. In: GeoConvention 2012, 14e18 May 2012, Calgary, Canada.
http://www.cspg.org/documents/Conventions/Archives/Annual/2012/162_
GC2012_Conventional_Oil_Petroleum_System_of_the_Cenomanian.pdf.
Gregg, S.J., Sing, K.S.W., 1982. Adsorption, Surface Area and Porosity. Academic
Press, London, p. 303 p. http://www.scribd.com/doc/48553301/Adsorptionsurface-area-and-porosity.
Haynes, R.J., Naidu, R., 1998. Influence of lime, fertilizer and manure applications on
soil organic matter content and soil physical conditions: a review. Nutr. Cycl.
Agroecosystems 51, 123e137. http://link.springer.com/article/10.1023%2FA%
3A1009738307837?LI¼true.
Hoffmann, C.F., Mackenzie, A.S., Lewis, C.A., Maxwell, J.R., Oudin, J.L., Durand, B.,
Vandenbroucke, M., 1984. A biological marker study of coals, shales and oils
from the Mahakam Delta, Kalimantan, Indonesia. Chem. Geol. 42 (1e4), 1e23.
http://www.sciencedirect.com/science/article/pii/0009254184900020.
Hoppie, B.W., Blum, P., Shipboard Scientific Party, 1994. Natural gamma-ray measurements on ODP cores: introduction to procedures with examples from leg
150. In: Mountain, G.S., Miller, K.G., Blum, P., et al. (Eds.), Proceedings of the
Ocean Drilling Program, Initial Reports, vol. 150. College Station, TX (Ocean
Drilling Program). http://dx.doi.org/10.2973/odp.proc.ir.150.1994. http://wwwodp.tamu.edu/publications/150_IR/VOLUME/CHAPTERS/ir150_05.pdf.
80
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Huang, B., Tian, H., Wilkins, R.W.T., Xiao, X., Li, L., 2013. Geochemical characteristics,
palaeoenvironment and formation model of Eocene organic-rich shales in the
Beibuwan Basin, South China Sea. Mar. Pet. Geol. 48, 77e89. http://www.
sciencedirect.com/science/article/pii/S0264817213001876.
Hutton, A.C., Cook, A.C., 1980. Influence of alginite on the reflectance of vitrinite
from Joadja, NSW, and some other coals and oil shales containing alginite. Fuel
http://www.sciencedirect.com/science/article/pii/
59,
711e714.
0016236180900253.
Jacob, H., 1989. Classification, structure, genesis and practical importance of natural
solid oil bitumen (“migrabitumen”). Int. J. Coal Geol. 11 (1), 65e79. http://www.
sciencedirect.com/science/article/pii/0166516289901134.
Jarvie, D.M., Hill, R.J., Ruble, T.E., Pollastro, R.M., 2007. Unconventional shale-gas
systems: the Mississippian Barnett Shale of north-central Texas as one model
for thermogenic shale-gas assessment. AAPG Bull. 91 (4), 475e499. http://
aapgbull.geoscienceworld.org/content/91/4/475.short.
Javadpour, F., 2009. Nanopores and apparent permeability of gas flow in mudrocks
(shales and siltstones). J. Can. Pet. Technol. 48, 16e21. http://dx.doi.org/10.2118/
09-08-16-DA.
Jenkyns, H.C., 1980. Cretaceous anoxic events: from continents to oceans. J. Geol.
Soc. 137, 171e188. http://jgs.lyellcollection.org/content/137/2/171.abstract.
Jones, J.M., Murchison, D.G., Saleh, S.A., 1971. Variation of Vitrinite Reflectivity in
Relation to Lithology. In: Advances in Organic Geochemistry. Pergamon Press,
New York, pp. 601e612.
Kovac, L.J., Last, W.M., 1991. Mineralogy and geochemistry of Cretaceous oil shales in
Manitoba. In: Christopher, J.E., Haidl, F.M. (Eds.), Sixth International Williston
Basin Symposium, Saskatchewan Geological Society, Special Publication Number 11, pp. 275e282. http://archives.datapages.com/data/sgs_wb_utf/data/
0007/0275/0275.html.
Kuila, U., Prasad, M., 2011. Surface Area and Pore-size Distribution in Clays and
Shales. SPE Paper No 146869, presented at the SPE Annual Technical Conference
and Exhibition, Denver, USA, 30 Oct-2 Nov, 2011. http://www.spe.org/atce/
2011/pages/schedule/tech_program/documents/spe146869%201.pdf.
Kwan, R., Mooney, R., 2010. Going Straight to the ‘Source’: a Spotlight on the
Emerging Canadian Shale Oil Plays. Macquarie Equities Research, Canada, 25p.
http://www.primarypetroleum.com/pdf/PIE_Industry_News_2010-10-00.pdf.
Landis, C.R., Castaño, J.R., 1995. Maturation and bulk chemical properties of a suit of
solid hydrocarbons. Org. Geochem. 22 (1), 137e149. http://www.sciencedirect.
com/science/article/pii/0146638095900136.
Loucks, R.G., Reed, R.M., Ruppel, S.C., Jarvie, D.M., 2009. Morphology, genesis, and
distribution of nanometer-scale pores in siliceous mudstones of the Mississippian Barnett Shale. J. Sediment. Res. 79, 848e861. http://jsedres.sepmonline.
org/content/79/12/848.abstract.
Loucks, R.G., Reed, R.M., Ruppel, S.C., Hammes, U., 2012. Spectrum of pore types and
networks in mudrocks and a descriptive classification for matrix-related
mudrock pores. AAPG Bull. 96 (6), 1071e1098. http://aapgbull.
geoscienceworld.org/content/96/6/1071.short.
Macauley, G., 1984a. Geology of the Oil Shale Deposits of Canada. Geological Survey
of Canada. Paper 81e25, 65 p.
Macauley, G., 1984b. Cretaceous Oil Shale Potential of the Prairie Provinces, Canada.
Geological Survey of Canada. Open File Report 977, 61 p. http://www.
publications.gov.sk.ca/details.cfm?p¼4965.
Mastalerz, M., He, L., Melnichenko, Y.B., Rupp, J.A., 2012. Porosity of coal and shale:
insights from gas adsorption and SANS/USANS techniques. Energy Fuels 26,
5109e5120. http://pubs.acs.org/doi/abs/10.1021/ef300735t.
Mastalerz, M., Schimmelmann, A., Drobniak, A., Chen, Y., 2013. Porosity of Devonian
and Mississippian New Albany Shale across a maturation gradient: insights
from organic petrology, gas adsorption, and mercury intrusion. AAPG Bull. 97
(10), 1621e1643.
http://aapgbull.geoscienceworld.org/content/97/10/1621.
short?rss¼1.
Medina, C.R., Rupp, J.A., Barnes, D.A., 2011. Effects of reduction in porosity and
permeability with depth on storage capacity and injectivity in deep saline
aquifers: A case study from the Mount Simon Sandstone aquifer. Int. J. Greenh.
Gas Control 5 (1), 146e156. http://www.sciencedirect.com/science/article/pii/
S175058361000037X.
Modica, C.J., Lapierre, S.G., 2012. Estimation of kerogen porosity in source rocks as a
function of thermal transformation: example from the Mowry Shale in the
Powder River Basin of Wyoming. AAPG Bull. 96 (1), 87e108. http://dx.doi.org/
http://aapgbull.geoscienceworld.org/content/96/1/87.
10.1306/04111110201.
abstract.
Moldowan, J.M., 1984. C30-steranes, novel markers for marine petroleums and
sedimentary rocks. Geochim. Cosmochim. Acta 48, 2767e2768. http://www.
sciencedirect.com/science/article/pii/0016703784903211#.
Mossop, G., Shetsen, I. (co-compilers), March, 1994. Geological Atlas of the Western
Canada Sedimentary Basin. Alberta Geological Survey. http://www.ags.gov.ab.
ca/publications/wcsb_atlas/atlas.html.
O’Brien, N.R., Thyne, G.D., Slatt, R.M., 1996. Morphology of hydrocarbon droplets
during migration: visual example from the Monterey Formation (Miocene),
California. AAPG Bull. 80 (11), 1710e1718. http://aapgbull.geoscienceworld.org/
content/80/11/1710.abstract.
O’Brien, N.R., Cremer, M.D., Canales, D.G., 2002. The role of argillaceous rock fabric
in primary migration of oil. Gulf Coast Assoc. Geol. Soc. Trans. 52, 1103e1112.
http://archives.datapages.com/data/gcags/data/052/052001/pdfs/1103.pdf.
Orr, C., 1977. Pore size and volume measurement. In: Kolthoff, I.M., Elving, P.J.,
Stross, F.H. (Eds.), Treatise on Analytical Chemistry Part III, vol. 4. John Wiley
and Sons, New York, pp. 321e358.
Pedersen, T.F., Calvert, S.E., 1990. Anoxia vs. productivity: what controls the formation of organic-carbon-rich sediments and sedimentary rocks? AAPG Bull. 74
(4), 454e466. http://archives.datapages.com/data/bulletns/1990-91/data/pg/
0074/0004/0000/0454.htm.
Peters, K.E., 1986. Guidelines for evaluating petroleum source rock using programmed pyrolysis. AAPG Bull. 70 (3), 318e329. http://archives.datapages.com/
data/bulletns/1986-87/data/pg/0070/0003/0300/0318.htm?doi¼10.1306%
2F94885688-1704-11D7-8645000102C1865D.
Petrov, Al. A., Vorobyova, N.S., Zemskova, Z.K., 1990. Isoprenoid alkanes with
irregular “head-to-head” linkages. Org. Geochem. 16 (4e6), 1001e1005. http://
www.sciencedirect.com/science/article/pii/014663809090136N.
Radke, M., Welte, D.H., 1981. The Methylphenanthrene Index (MPI): a Maturity
Parameter Based on Aromatic Hydrocarbons. In: Advances in Organic
Geochemistry. Wiley, pp. 504e512.
Robinson, N., Eglinton, G., Lafferty, C.J., Snape, C.E., 1991. Comparison of alkanes
released from a bituminous coal via hydropyrolysis and low temperature hydrogenation. Fuel 70 (2), 249e253. http://www.sciencedirect.com/science/
article/pii/001623619190160C.
Ross, D.J.K., Bustin, R.M., 2009. The importance of shale composition and pore
structure upon gas storage potential of shale gas reservoirs. Mar. Pet. Geol. 26,
916e927. http://dx.doi.org/10.1016/j.marpetgeo.2008.06.004.
Schlanger, S.O., Jenkyns, H.C., 1976. Cretaceous oceanic anoxic events: causes and
consequences. Geol. Mijnb. 55 (3e4), 179e184. http://www.njgonline.nl/
publish/articles/000311/article.pdf.
Schlanger, S.O., Arthur, M.A., Jenkyns, H.C., Scholle, P.A., 1987. The Cenomaniane
Turonian Oceanic Anoxic Event, I. Stratigraphy and distribution of organic
carbon-rich beds and the marine d13C excursion. In: Brooks, J., Fleet, A.J. (Eds.),
Marine Petroleum Source Rocks, Geological Society, London, Special Publications No. 26, pp. 371e399. http://sp.lyellcollection.org/content/26/1/371.short.
Schröder-Adams, C.J., Leckie, D.A., Bloch, J., Craig, J., McIntyre, D.J., Adams, P.J., 1996.
Paleoenvironmental changes in the Cretaceous (Albian to Turonian) Colorado
Group of western Canada: microfossil, sedimentological and geochemical evidence. Cretac. Res. 17 (3), 311e365. http://www.sciencedirect.com/science/
article/pii/S0195667196900221#.
Schwark, L., Empt, P., 2006. Sterane biomarkers as indicators of palaeozoic algal
evolution and extinction events. Palaeogeogr. Palaeoclimatol. Palaeoecol. 240,
225e236.
http://www.sciencedirect.com/science/article/pii/
S0031018206002586.
Sing, K.S., 1985. Reporting physisorption data for gas/solid systems with special
reference to the determination of surface area and porosity. Pure Appl. Chem.
57 (4), 603e619.
Slatt, R.M., O’Brien, N.R., 2011. Pore types in the Barnett and Woodford gas shales:
contribution to understanding gas storage and migration pathways in finegrained rocks. AAPG Bull. 95 (12), 2017e2030. http://aapgbull.
geoscienceworld.org/content/95/12/2017.abstract.
Stasiuk, L.D., Goodarzi, F., 1988. Organic petrology of second white speckled shale,
Saskatchewan, Canada. Bull. Can. Pet. Geol. 36 (4), 397e406. http://archives.
datapages.com/data/cspg/data/036/036004/0397.htm.
Stra˛ po
c, D., Mastalerz, M., Schimmelmann, A., Drobniak, A., Hasenmueller, N.R.,
2010. Geochemical constraints on the origin and volume of gas in the New
Albany Shale (DevonianeMississippian), eastern Illinois Basin. AAPG Bull. 94
(11), 1713e1740. http://aapgbull.geoscienceworld.org/content/94/11/1713.short.
Strong Jr., C.P., 1972. Foraminifera from the Colorado Group in west-central Montana. In: Montana Geological Society 2010-21st Annual Geological Conference:
Crazy Mountains Basin, September 22e24, 1972, pp. 85e90. http://archives.
datapages.com/data/mgs/mt/data/0030/0085/0085.html.
Swanson, B.F., 1981. A simple correlation between permeabilities and mercury
capillary pressures. J. Pet. Technol. 33 (12), 2498e2504. http://www.onepetro.
org/mslib/servlet/onepetropreview?id¼00008234.
ten Haven, H.L., de Leeuw, J.W., Rullkӧtteer, J., Sinninghe Damste, J.S., 1987.
Restricted utility of pristine/phytane ratio as a palaeoenvironmental indicator.
Nature 330, 641e643. http://www.nature.com/nature/journal/v330/n6149/abs/
330641a0.html.
ten Haven, H.L., de Leeuw, J.W., Sinninghe Damste, J.S., Schenck, P.A., Palmer, S.E.,
Zumberge, J.E., 1988. Application of biological markers in the recognition of
palaeohypersaline environments. In: Fleet, A.J., Kelts, K., Talbot, M.R. (Eds.),
Lacustrine Petroleum Source Rocks, Geological Society Special Publication No.
40. Blackwell Scientific Publications, pp. 123e130. http://igitur-archive.library.
uu.nl/geo/2005-0622-145357/2310.pdf.
Tian, H., Pan, L., Xiao, X., Wilkins, R.W.T., Meng, Z., Huang, B., 2013. A preliminary
study on the pore characterization of Lower Silurian black shales in the
Chuandong Thrust Fold Belt, southwestern China using low pressure N2
adsorption and FE-SEM methods. Mar. Pet. Geol. 48, 8e19. http://www.
sciencedirect.com/science/article/pii/S0264817213001761.
Tyagi, A., Plint, A.G., McNeil, D.H., 2007. Correlation of physical surfaces, bentonites,
and biozones in the Cretaceous Colorado Group from the Alberta Foothills to
southwest Saskatchewan, and a revision of the Belle FourcheeSecond White
Specks formational boundary. Can. J. Earth Sci. 44, 871e888. http://www.
nrcresearchpress.com/doi/abs/10.1139/e07-004#.UN9k4HeDnTo.
Vandenbroucke, M., Largeau, C., 2007. Kerogen origin, evolution and structure. Org.
Geochem. 38 (5), 719e833. http://www.sciencedirect.com/science/article/pii/
S014663800700006X#.
Wang, F.P., Gale, J.F.W., 2009. Screening criteria for shale-gas systems. Gulf Coast
Assoc. Geol. Soc. Trans. 59, 779e793. http://archives.datapages.com/data/
gcags_pdf/2009/WangGale.htm.
A. Furmann et al. / Marine and Petroleum Geology 54 (2014) 65e81
Webb, P.A., Orr, C., 1997. Analytical Methods in Fine Particle Technology. Micromeritics Instrument Corporation, Norcross, Georgia, USA, 301 p. http://www.
slac.stanford.edu/spires/find/books/www?key¼257168.
81
Zaback, D.A., Pratt, L.M., Hayes, J.M., 1993. Transport and reduction of sulfate and
immobilization of sulfide in marine black shales. Geology 21, 141e144. http://
geology.gsapubs.org/content/21/2/141.short.