Deepwater Gas Kick Simulation
Deepwater Gas Kick Simulation
Deepwater Gas Kick Simulation
Research paper
Department of Petroleum Engineering, Faculdade de Engenharia Mecanica, Universidade Estadual de Campinas (UNICAMP), Caixa Postal 6122, Campinas, SP, 13083-970, Brazil
Petroleum and Geosystems Engineering, The University of Texas at Austin, 1 University Station C0300 Austin, TX 78712-0228, U.S.A
a r t i c l e
i n f o
Article history:
Received 19 May 2008
Accepted 5 March 2009
Keywords:
drilling
well control
deepwater
kick
kick simulation
a b s t r a c t
Important gas and light oil reserves have recently been found in the Tupi eld of Santos Basin, Brazil. The
Tupi is formed by subsalt hydrocarbon reservoirs 6000 to 7000 m deep, with water depths up to 3000 m,
subjected to high pressure and high temperature bottomhole conditions. The investigation of well control
aspects during exploratory and development drilling in that eld requires kick simulators that can handle the
pressure and temperature range encountered in deep and ultra deepwater scenarios.
Safety issues associated with well control situations demand precise predictions of wellbore pressures and
liquid/gas volumes as well as ow rates at the surface. The possibility of blowout occurrence needs to be
mitigated in order to avoid human casualties, nancial losses (production stop and equipment losses) and
environmental damage.
Several kick simulators have been developed during the last four decades in order to address well control
problems during the drilling operation. The simulators have an important mission that involve: i) helping the
drilling engineer to make decisions during well control procedures and kick situations, ii) personnel training
and certication and iii) better understanding and interpretation of eld observations. The evolution of the
codes has been driven by the increasing challenges in exploration and development of the remaining
hydrocarbon reserves. Increasing complexity of well geometry (diameters and trajectory), well location (land
and offshore) and bottomhole conditions (increasing pressure and temperature severity with depth) has
required more precise two-phase ow models and more representative rheological as well as compositional
models.
This work presents the mathematical modeling of a proposed gas kick simulator, the comparison between
simulated and measured results for a test well located in Brazil, and a sensitivity analysis regarding the effect
of water depth in well control parameters.
2009 Elsevier B.V. All rights reserved.
1. Introduction
The recent discovery of Tupi eld of Santos Basin in Brazil
has signicantly increased the possible country's hydrocarbon
reserves. The anticipation for the increased country's reserve has
lead to the expectation for rapid development of the Tupi eld. The
exploitation difculties associated with the deep and ultradeep
water depths, severe reservoir pressure, temperature conditions
and geomechanical issues pose important scientic and technological challenges.
In a drilling perspective, well design and construction require
addressing safety issues, particularly associated with well control
operations. Personnel training and certication as well as the proper
well control operation require reliable computational tools, such as
kick simulators. The advancement of kick simulators in the previous
Corresponding author.
E-mail address: ribeiro@dep.fem.unicamp.br (P.R. Ribeiro).
0920-4105/$ see front matter 2009 Elsevier B.V. All rights reserved.
doi:10.1016/j.petrol.2009.03.001
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
Conservation of momentum:
Nomenclature
Co
M
P
R
T
t
v
z
Z
A
A
2
2
v + g g v g +
v + g g v g + p
At l l l
Az l l l
= l l + g g g cos F:
distribution parameter
molecular weight
absolute pressure
universal constant
absolute temperature
time
velocity
axial position
compressibility factor
Greek letters
density
volume fraction
g =
l + g = 1:
two-phase ow pattern;
slip velocity between phases;
gas solubility in the drilling uid;
reservoir behavior accounting in the well (formation coupling).
j = 1; 2 and 3
where the variables, wj, fj and qj are functions of the physical variables
(g, l, g, vl, vg and p), according to Table 1.
The nonlinear system of partial differential equations (strictly
hyperbolic nature for the physical problem, according to Fjelde, 1995)
can be solved using a numerical method. Discretization of the partial
differential Eqs. (1) through (3), using a nite difference method
(Nickens, 1987; Santos, 1991), results in the following equations:
n + 1
+ 1=2
w1 j i
t
n + 1
+ 1=2
w2 j i
t
w1 j i
w2 j i
+ 1= 2
+ 1= 2
f1 j ni ++ 11 f1 j ni
z
+ 1
f2 j ni ++ 11 f2 j ni
z
+ 1
=0
=0
1
n + 1= 2
n + 1=2
w3 j ni ++ 11= 2 w3 j ni + 1 = 2
f34 j i + 1
f34 j i
+
t
z
PM
ZRT
Superscripts
n
related to time
A
A
g g +
g g vg = 0:
At
Az
Subscripts
g
gas
i
related to the node
j
related to the conservation equations
l
liquid
s
slip
pni ++ 11 pni
z
+ 1
n + 1=2
1= 2
= q3 j i +
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
where, u j i +1 =2 = u j i +12 + u j i , u j n +1 = 2 =
n + 1
uji
n + 1
+ 1
+ uji
ujn
+ 1
+ ujn
n + 1= 2
+ 1=2
and uj i
+ uji + uji
+ 1
Table 1
Correspondence of terms.
wj
fj
qj
w1 = gg
w2 = ll
w3 = lll + ggg
f1 = ggg
f2 = lll
f3 = lll2 + ggg2 + p
f3 = l l 2l + g gg2
q1 = 0
q2 = 0
q3 = g(ll + gg)cos + F
15
Table 2
Input simulation parameters.
Parameter
Test well
Base case
Well depth, m
Water depth, m
Casing shoe depth, m
Mud ow rate during drilling, m3/s
Mud ow rate during kick circulation, m3/s
Wellbore diameter, m
Drillstring external diameter, m
Choke line internal diameter, m
Riser internal diameter, m
Inux detection volume, m3
Shut-in drillpipe pressure SIDPP, MPa
Mud density, kg/m3
Mud rheological parameters
1240
735
0
0.0027
0.1570
0.0889 m
0.0508 m
0.1570 m
0.6359 m3
2.482
1092
k = 7.0681 eqcP
n = 0.2763
0.028
27
0.029
2000
1500
0.0284
0.0126
0.2032
0.1270
0.0762
0.5334
1.5899
2.758
1200
= 35 cP
0.016
27
0.025
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
Fig. 1. Computed and measured entering gas ow rate in the test well. The simulations were conducted under two different boundary conditions for the bottomhole pressure (BHP):
constant bottomhole pressure and bottomhole pressure equal to the measured value in the test well.
Fig. 9. The input simulation parameters for the base case are also
presented in Table 2. Water depths of 0 (land well), 500 and 1000 m
have been considered in the analysis.
The simulation procedure to represent the physical problem is
outlined in the following: i) gas enters the well until the prescribed
pit gain is detected at the surface (during this initial time the well is
opened at the surface), ii) mud pumps stopped, BOP is closed, choke
line is opened and choke valve is closed (this well shutting procedure takes some minutes and must be considered in the simulation),
and, iii) mud circulation resumed with a lower rate, keeping the
bottomhole pressure constant by choke valve operation at the
surface and, iiii) mud circulation continues until all the gas is
expelled from the wellbore. At this stage the well is lled with the
original drilling uid and the choke pressure equals the shut-in
drillpipe pressure (SIDPP).
In order to address the effect of water depth on the well control
parameters, the total vertical depth (TVD) was kept constant and the
Fig. 2. Measured and imposed bottomhole pressure for the two case simulations. The bottomhole pressure was maintained above the reference pore pressure in the simulations.
C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
17
Fig. 3. Measured and imposed entering liquid ow rate for the simulations.
water depth was increased from zero (land well), to 500 m (shallow
water well) to 1000 m (deepwater well). Due to the subsea blowout
preventer (BOP), the upper annular section of the well, which
corresponds to the riser section, is isolated as the BOP is closed
when the ow is diverted to the choke line during driller's well control
procedure. The reduction of ow area when the uid leaves the
annular section (0.2032 m OD 0.1270 m ID) and enters the choke line
section (0.0762 m ID) is approximately 80%, which causes a signicant
increase in the pressure losses during the kick circulation. In order to
maintain a constant bottomhole pressure greater than or equal to the
formation pressure, which prevents more gas from entering the well,
the choke should gradually be opened and choke pressure reduced.
Although the loss in hydrostatic head when the contaminated zone
enters the choke line causes an opposite effect in the bottomhole
pressure that should be compensated by the choke's operator.
Fig. 4. Computed and measured liquid ow rate out of the well, considering the two kinds of boundary conditions for the bottomhole pressure (BHP).
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
Fig. 5. Computed and measured pit gain, considering the two kinds of boundary conditions for the bottomhole pressure (BHP).
Fig. 6. Computed and measured pressure at 985-meter depth, considering the two kinds of boundary conditions for the bottomhole pressure (BHP).
Fig. 7. Computed and measured wellhead pressure (735-meter depth), considering the two kinds of boundary conditions for the bottomhole pressure (BHP).
C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
19
Fig. 8. Computed and measured choke pressure, considering the two kinds of boundary conditions for the bottomhole pressure (BHP).
Fig. 9. Schematic view of the land and offshore well applied in the analysis of the effect
of water depth in the well control parameters.
Fig. 10. Comparison among the computed entering gas ow rates for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
Fig. 11. Comparison among the bottomhole pressures for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
Fig. 12. Computed liquid ow rate out of the well for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
Fig. 13. Computed gas ow rate out of the well for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
Fig. 14. Computed pit gain for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
Fig. 15. Computed casing shoe pressure for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
Fig. 16. Computed choke pressure for a land well, shallow water well (500-meter water depth) and deepwater well (1000-meter water depth).
21
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C.S. Avelar et al. / Journal of Petroleum Science and Engineering 67 (2009) 1322
the gas contaminated zone reaches the casing shoe, the maximum
pressure at that point is attained. If this maximum pressure exceeds
the formation fracture pressure, the gas can ow into the weaker
formation resulting in an underground blowout.
Fig.16 presents the choke (surface) pressure as a function of time and
what can be observed is that the peak pressure increases with water
depth. This is associated with the higher contaminated columns inside
the well, due to the longer choke lines with depth. Beyond the loss of
hydrostatic head due to the gas, the viscosity of the contaminated zone is
also smaller than that of the original drilling uid and demands an
increase in choke pressure to maintain a constant bottomhole pressure.
Acknowledgements
Financial support from the Human Resources Program of the
National Petroleum Agency (PRH 15-ANP), Financiadora de Estudos e
Projetos (FINEP-CTPETRO) and Petrleo Brasileiro S.A. (PETROBRAS) is
greatly appreciated. Computational facilities were provided by the
Department of Petroleum Engineering of the Universidade Estadual de
Campinas (UNICAMP), Brazil. The authors thank Prof. Cristina C.
Cunha, Dr. Otto L.A. Santos and Dr. Heitor R. Lima for their important
contribution to this work.
References
5. Conclusions
The basic evolution of the well control simulators in the past four
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