Nothing Special   »   [go: up one dir, main page]

US20160139085A1 - Apparatus and method for analysis of a fluid sample - Google Patents

Apparatus and method for analysis of a fluid sample Download PDF

Info

Publication number
US20160139085A1
US20160139085A1 US14/979,190 US201514979190A US2016139085A1 US 20160139085 A1 US20160139085 A1 US 20160139085A1 US 201514979190 A US201514979190 A US 201514979190A US 2016139085 A1 US2016139085 A1 US 2016139085A1
Authority
US
United States
Prior art keywords
sample
fluid
light
predetermined
modulation frequency
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US14/979,190
Inventor
Michael T. Pelletier
Gregory P. Perez
Christopher Michael Jones
Gregory N. Gilbert
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Halliburton Energy Services Inc
Original Assignee
Halliburton Energy Services Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Halliburton Energy Services Inc filed Critical Halliburton Energy Services Inc
Priority to US14/979,190 priority Critical patent/US20160139085A1/en
Assigned to HALLIBURTON ENERGY SERVICES, INC. reassignment HALLIBURTON ENERGY SERVICES, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: GILBERT, GREGORY N., PEREZ, GREGORY P., JONES, CHRISTOPHER MICHAEL, PELLETIER, MICHAEL T.
Publication of US20160139085A1 publication Critical patent/US20160139085A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/22Details, e.g. general constructional or apparatus details
    • G01N29/24Probes
    • G01N29/2418Probes using optoacoustic interaction with the material, e.g. laser radiation, photoacoustics
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/1702Systems in which incident light is modified in accordance with the properties of the material investigated with opto-acoustic detection, e.g. for gases or analysing solids
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N29/00Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
    • G01N29/36Detecting the response signal, e.g. electronic circuits specially adapted therefor
    • G01N29/42Detecting the response signal, e.g. electronic circuits specially adapted therefor by frequency filtering or by tuning to resonant frequency
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/1717Systems in which incident light is modified in accordance with the properties of the material investigated with a modulation of one or more physical properties of the sample during the optical investigation, e.g. electro-reflectance
    • G01N2021/1727Magnetomodulation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1761A physical transformation being implied in the method, e.g. a phase change

Definitions

  • the present disclosure relates generally to the determination of the composition of a fluid sample. More specifically, the present disclosure relates to the determination of the composition of a multi-component fluid using detected acoustical signals related to the various components of the fluid sample.
  • the analysis may comprise extracting fluid from the native formation by pumping with a formation test tool, flowing the well in a drill stem test or examining the drill cuttings circulated to surface during drilling.
  • the examination of the samples may be accomplished by transporting a quantity of the fluids to a laboratory and the separating the fluid into its constituent parts by distillation and/or by chromatographic methods.
  • Another method relies on the measurement of light transmitted through a sample. This approach places a windowed cell within the fluid flow path of a formation testing tool. In one example, this method may require the determination of the amount of power delivered to the sample and the amount of power that is transmitted through the sample. The care and maintenance of the optical receiver can be difficult. High downhole temperatures can adversely affect a photodiode used as a receiver.
  • FIG. 1 shows a schematic of one example of a fluid analysis apparatus
  • FIG. 2 shows a schematic of another example of a fluid analysis apparatus
  • FIG. 3 is a partial sectional view of a formation testing tool having a fluid analysis apparatus
  • FIG. 4 is a schematic of a fractionating process including a fluid analysis apparatus
  • FIG. 5 shows one example of the overlapping relationship of a chopper wheel and a filter arrangement
  • FIG. 6 shows a well drilling system comprising a bottom hole assembly that includes a formation testing tool
  • FIG. 7 shows an enlarged view of the formation testing tool of FIG. 6 .
  • Photoacoustic spectroscopy is based on the absorption of light energy by a molecule.
  • the signal in PAS is monitored by acoustic detection.
  • Photoacoustic spectroscopic detection is based on the generation of acoustic waves as a consequence of light absorption.
  • Absorption of light by a sample exposed thereto excites molecules in the sample. Modulation of the light intensity (turning the light on and off as the sample is exposed) causes the temperature of the sample to rise and fall with the absorption profile of the sample.
  • light refers to electromagnetic radiation of all wavelengths, whether visible or not.
  • the temperature variation of the sample is accompanied by a pressure variation that creates a sound wave.
  • the sound wave can be detected with an acoustic detector, for example a microphone.
  • an acoustic detector for example a microphone.
  • Many of the components of oil reservoir fluids have absorption bands in the infrared portion of the electromagnetic spectrum. By exciting the component with energy having a wavelength in the appropriate absorption band, the component can be caused to generate a sound signal which is indicative of the component.
  • the absorption wavelengths for gases including methane, propane, and butane are in the range of 1677 nm and 1725 nm.
  • Hydrogen sulfide gas has a group of absorption wavelengths near 1578 nm and carbon dioxide has several absorption wavelengths near 2007 nm and 1572 nm. It is to be noted that liquids may exhibit photoacoustic signal generation similar to, but possibly smaller in amplitude to, that of gases.
  • FIG. 1 shows a schematic of one example of an analysis apparatus 100 for determining the components of a fluid sample.
  • the term fluid is used to mean a gas, a liquid, and a combination of a gas and a liquid.
  • a fluid flowing in inlet line 124 is admitted to sample chamber 115 through valve 126 and sealed off by closing valves 126 and 128 .
  • Sample chamber 115 comprises an optical window 116 through at least a portion of one wall of sample chamber 115 .
  • Acoustic detector 117 may be inserted through the wall of sample chamber 115 and contact sample fluid 114 .
  • Acoustic detector 117 may comprise a capacitance microphone, a piezoelectric sensor, or any other suitable acoustic signal detector.
  • Pump 122 is connected to sample chamber 115 .
  • pump 122 is a positive displacement pump.
  • Positive displacement pumps include, but are not limited to, gear pumps and piston pumps.
  • pump 122 may be activated to lower the pressure in sample chamber 115 below the vapor pressure of the fluid components such that substantially all of the original sample is converted to a gas phase. Pump 122 may also be used to pressure tune the acoustic response for enhanced signal generation.
  • heater 118 may be attached to sample chamber 115 to raise the temperature of sample chamber 115 and sample 114 to assist in converting any liquid in sample chamber 115 to a gas phase.
  • temperature may be used to pressure tune the photo acoustic response.
  • the combination of a temperature tunable phase change substance with a temperature controlled cold element, both in operative contact with sample chamber 115 may be used to pressure tune the photo acoustic response.
  • the photo acoustic response of the phase change substance may serve as an internal reference standard.
  • a light system 101 comprises light source 104 , mirror 102 , chopper wheel 106 , and filter wheel 108 .
  • light source 104 may be a broad band infra-red source such as a heated filament wire.
  • the energy from light source 104 may be collected and reflected by mirror 102 toward sample chamber 115 .
  • a focusing element (not shown) may be used to localize the energy within the sample 114 such that the intensity of the interaction is sufficient to generate a large temperature differential with respect to the surrounding fluid thereby allowing a large pressure gradient to form.
  • the amplitude of the generated acoustic signal is related to the generated pressure gradient.
  • a motor may drive chopper wheel 106 at a predetermined rate to modulate the light passed to sample 114 at a predetermined frequency
  • f Rings R 1 and R 2 of slots 150 and 151 may be formed in chopper wheel 106 .
  • the length and spacing of the slots in each individual ring may be different, such that the duty cycle (frequency and duration) of the energy transmitted to heat the sample fluid 114 may be different through slots 150 as compared to the energy transmitted to heat the sample fluid 114 through slots 151 .
  • Any suitable number of rings Ri may be formed in chopper wheel 106 .
  • the sample is heated by the absorption of the energy from light source 104 during the exposed time. In contrast, when chopping wheel 106 block the energy, the sample 114 cools off.
  • a filter wheel 108 may comprise several filters 110 i that allow passage of a predetermined wavelength ⁇ i of the energy from source 104 that interacts with a component C i of sample 114 .
  • an electronic or mechanical shutter, or series of shutters may be used instead of a chopper wheel.
  • the heating and cooling of sample 114 generates pressure fluctuations that are related to the presence of component C i in sample 114 .
  • filter wheel 108 is rotatable such that one filter component 110 i is optically aligned to allow energy of wavelength ⁇ i to interact with sample 114 at a first time interval. Filter wheel 108 may then turned to allow a different to interact with sample 114 at a second time interval.
  • filter wheel 508 is shown overlaying chopper wheel 106 .
  • Filters 110 i may be arranged radially such that each filter passes a different characteristic wavelength, ⁇ i , interacting with a different ring Ri of slots 150 - 153 .
  • Energy may be transmitted from all of the filters simultaneously to sample 114 .
  • the heating and cooling from each ring of slots will have a characteristic frequency, f i , related to the number and spacing of the slots in each ring, and the rotational speed of the chopper wheel.
  • the various energy absorbing components of sample 114 will emit multiple acoustic frequencies related to the appropriate filter and slot interaction. Multiple components C i can be simultaneously identified.
  • energy of wavelengths ⁇ 1 and ⁇ 2 , associated with rings R 1 and R 2 may be transmitted at frequencies f 1 and f 2 to interact with sample 114 .
  • Frequencies ⁇ 1 and ⁇ 2 are determined by the number of slots in rings R 1 and R 2 and the rotational rate of the chopper wheel 106 . If sample 114 contains components C 1 and C 2 , associated with wavelengths ⁇ 1 and ⁇ 2 , the sample 114 will emit acoustic signals at frequencies f 1 and f 2 . If, in another example, only component C 1 is present, then sample 114 will emit an acoustic signal at frequency f 1 , but not at frequency f 2 .
  • Controller 132 may comprise electronic circuits 134 , a processor 136 , and a memory 138 in data communication with processor 136 .
  • Electronic circuits 134 may interface with and supply power to light source 104 , heater 118 , acoustic detector 117 , and pump 122 .
  • Processor 136 may comprise a single processor or multiple processors, including a digital signal processor.
  • Programmed instructions may be stored in memory 138 that when executed by processor 136 , controls the operation of analysis apparatus 100 .
  • electronic circuits 134 may comprise analog filters to detect signals at the predetermined frequencies discussed previously. Alternatively, the sensor signal may be digitized and analyzed digitally for signals at the predetermined frequencies using techniques known in the art.
  • data and models may be stored in memory 138 that relates the acoustic signal to the components C i .
  • data relating to the specific absorption wavelengths may be stored in memory 138 for use in identifying the components of sample 114 .
  • data may be transmitted from controller 132 by telemetry device 140 to an external controller 142 for further data analysis and correlation.
  • data may be stored on a computer readable medium 141 that may comprise a hard disk, a flash memory, a CD, a DVD, or any other suitable computer readable medium.
  • FIG. 2 shows a schematic of one example of an analysis apparatus 200 for determining the components of a fluid sample.
  • a fluid flowing in inlet line 224 is admitted to sample chamber 215 through valve 226 , and sealed off by closing valves 226 and 228 .
  • Sample chamber 215 may comprise optical windows 216 and 219 through the walls of sample chamber 215 .
  • Acoustic detector 217 may be inserted through the wall of sample chamber 215 and contacts sample fluid 214 .
  • Pump 222 is connected to sample chamber 215 .
  • Pump 222 may be a positive displacement pump similar to pump 122 of FIG. 1 .
  • Positive displacement pumps include, but are not limited to, gear pumps and piston pumps.
  • Pump 222 may be activated to lower the pressure in sample chamber 215 such that substantially all of the original sample is converted to a gas phase.
  • an aliquot of the sample may be introduced into the chamber at reduced pressure with higher, the same, or lower temperature than the original fluid in order to flash the sample to the gas phase.
  • heater 218 may be attached to sample chamber 215 to raise the temperature of sample chamber 215 and sample 214 to assist in converting any liquid in sample chamber 215 to a gas phase.
  • Light sources 244 and 242 may be narrow band infrared sources such as a laser, a laser diode, and a tunable laser diode. Each light source may emit a different light wavelength ⁇ i for identifying different components C i of sample 214 . While shown with two optical energy sources, it is understood that any number of light sources may be employed within the constraints of providing a suitable window access to sample 214 . Alternatively, optical fibers may be placed and sealed through the wall. In one example, energy may be introduced to the sample using nanofiber evanescent field generation, known in the art.
  • Source controllers 246 and 240 may comprise control circuits for controlling the activation of sources 244 and 242 respectively. For example, such circuits may control the on-off frequency and amplitude of each source. This capability allows these types of sources to operate without the need for the mechanical chopper and the filter wheel of the embodiment shown in FIG. 1 .
  • the heating and cooling of sample 214 generates pressure fluctuations that are related to the presence of component C i in sample 214 .
  • Controller 232 may comprise electronic circuits 234 , a processor 236 , and a memory 238 in data communication with processor 236 . Electronic circuits 234 may interface with and supply power to controller sources 246 and 240 , heater 218 , acoustic detector 217 , and pump 222 .
  • the sources 242 and 244 may be operated simultaneously, at different duty cycles, for simultaneous detection of components C i of sample 214 .
  • the electronic control of the sources allows controller 232 to synchronize the signal detection to the source activation to enhance the signal to noise ratio.
  • Processor 236 may comprise a single processor or multiple processors, including a digital signal processor.
  • Programmed instructions may be stored in memory 238 that when executed by processor 236 , controls the operation of analysis apparatus 200 .
  • data and models may be stored in memory 238 that relates the acoustic signal to the components C i .
  • data relating to the specific absorption frequencies may be stored in memory 238 for use in identifying the components of sample 214 .
  • data may be stored on a computer readable medium 241 that may comprise a hard disk, a flash memory, a CD, a DVD, or any other suitable computer readable medium.
  • an electromagnet 250 may be disposed at least partially around sample chamber 215 for use in detecting oxygen, O 2 , in sample 214 .
  • Oxygen does not absorb infrared light.
  • the oxygen molecules will start to vibrate generating a pressure change that is detected by acoustic detector 217 .
  • a magnetic coil may also be incorporated around sample chamber 115 of FIG. 1 .
  • FIG. 3 shows a formation testing tool 10 for obtaining and analyzing a fluid sample from a subterranean formation 12 through a wellbore 14 .
  • Formation testing tool 10 is suspended in wellbore 14 by a wireline cable 16 that connects the tool 10 to a surface control unit 36 .
  • formation testing tool 10 may be deployed in wellbore 14 on coiled tubing, jointed drill pipe, hard wired drill pipe, or any other suitable deployment technique.
  • Formation testing tool 10 may comprise an elongated, cylindrical body 18 having a control module 20 , fluid acquisition module 22 , and fluid storage modules 24 , 26 .
  • Fluid acquisition module 22 comprises an extendable fluid admitting probe 32 and extendable tool anchors 34 .
  • Fluid is drawn into the tool through probe 32 by a fluid pumping unit (not shown).
  • the acquired fluid then flows through fluid measurement module 200 that, as described above, analyzes the fluid using PAS techniques described herein, and sends data to surface control unit 36 via the wireline cable 16 .
  • the fluid then can be stored in the fluid storage modules 24 , 26 and retrieved to the surface for further analysis.
  • a drilling rig 10 (simplified to exclude items not important to this application) comprises a derrick 12 , derrick floor 14 , draw works 16 , hook 18 , swivel 20 , kelly joint 22 and rotary table 24 , such components being arranged in a conventional manner so as to support and impart rotation to drillstring 26 .
  • Drill string 26 includes at its lower end a bottom hole assembly 29 which comprises drill collar 28 , MWD tool 30 (which may be any kind of MWD tool, such as an acoustic logging tool), MWD formation testing tool 32 (which may be a separate tool as shown or may be incorporated into another tool) and drill bit 34 .
  • Drilling fluid (which may also be referred to as “drilling mud”) is injected into the swivel by a mud supply line 36 .
  • the mud travels through the kelly joint 22 , drillstring 26 , drill collars 28 , MWD tool 30 and MWD formation testing tool 32 and exits through ports in the drill bit 34 .
  • the mud then flows up the borehole 38 .
  • a mud return line 40 returns mud from the borehole 38 and circulates it to a mud pit (not shown) and ultimately back to the mud supply line 36 .
  • the data collected by the MWD tool 30 and formation testing tool 32 may be returned to the surface for analysis by telemetry transmitted in any conventional manner, including but not limited to mud pulse telemetry, electromagnetic telemetry, and acoustic telemetry.
  • drill string 26 and drill collars 28 may be hard wired to provide high data rate telemetry.
  • a telemetry transmitter 42 located in a drill collar 28 or in one of the MWD tools collects data from the MWD tools and transmits it through the mud via pressure pulses generated in the drilling mud.
  • a telemetry sensor 44 on the surface detects the telemetry and returns it to a demodulator 46 .
  • the demodulator 46 demodulates the data and provides it to computing equipment 48 where the data is analyzed to extract useful geological information.
  • commands may be passed downhole to the MWD tool and formation testing tool 32 in a variety of ways.
  • information may be transmitted by performing predefined sequences of drill pipe rotations that can be sensed in the MWD tools and translated into commands.
  • the mud pumps may be cycled on and off in predefined sequences to transmit information in a similar fashion.
  • the formation testing tool 32 comprises a plurality of centralizing pistons 60 and one or more sampling pistons 62 , as shown in FIG. 7 .
  • the formation testing tool will be described with reference to tool 32 having one sampling piston 62 , it being understood that the tool could likewise be configured to include additional such pistons 62 .
  • the plurality of centralizing pistons 60 centralize the formation testing tool 32 in the borehole 38 .
  • the sampling piston 62 extends from the formation testing tool 32 to the borehole wall 66 , where it seals against the wall and allows formation testing to be performed.
  • the centralizing pistons 60 are all in the same cross section and the sampling piston 62 is in a different cross section. In another embodiment, one or more of the centralizing pistons 68 are in a different cross-section from the remaining centralizing pistons 60 . In still another embodiment, the centralizing pistons are in three or more cross sections.
  • the centralizing pistons 60 and the sampling piston 62 are retained in a retracted position inside the formation testing tool 32 . In this position, the sampling piston 62 is recessed below the surface of the formation testing tool 32 , as is discussed further below.
  • the rotation of the drill string 26 is ceased and the centralizing pistons 60 are extended at the same rate so that the formation testing tool 32 is relatively centralized within the borehole, as shown in FIG. 7 .
  • the sampling piston 62 is then extended and the formation testing tool 32 performs its testing function, including analyzing the formation fluid using the PAS techniques described herein.
  • the above described MWD formation testing tool may be alternatively deployed in the wellbore with coiled tubing equipment (not shown), using techniques known in the art.
  • a process feed stream which may comprise hydrocarbon components, is fractionated in a fractionating apparatus 402 .
  • Different fractionating components 404 , 406 , 408 and 410 are removed at different levels of the process.
  • Samples of fractionating components 404 , 406 , 408 and 410 may be taken through valves 421 , 422 , 423 and 424 .
  • the samples may be analyzed by an analysis system such as analysis system 100 described previously, or alternatively, by analysis system 200 described previously, to determine the components of the individual streams.
  • the analysis systems described herein may also be used for analyzing fluid components in pipelines.
  • the length of the energy pulse may be used to control the depth of investigation into the sample, thereby allowing the examination of the carrier liquid while substantially ignoring the slurry solids.
  • the lengthening of the ON pulse time may be used to detect fouling of the optical windows. For example, a constant acoustic signal amplitude with an increasing ON pulse length, may indicate that the acoustic signal is not penetrating deeper into the sample but is being generated in a substantially small fluid volume near the window.

Landscapes

  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Optics & Photonics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)

Abstract

An method for analyzing a fluid comprises collecting a sample of the fluid and exposing the fluid sample to a light of a predetermined wavelength at a predetermined modulation frequency. An acoustic signal caused by the interaction of the light and the fluid sample is sensed, and the sensed acoustic signal is related to at least one component of the fluid.

Description

    BACKGROUND OF THE INVENTION
  • The present disclosure relates generally to the determination of the composition of a fluid sample. More specifically, the present disclosure relates to the determination of the composition of a multi-component fluid using detected acoustical signals related to the various components of the fluid sample.
  • It is of interest to know the both composition and concentration of materials in a fluid extracted from a reservoir or a fluid stream. In the case of reservoirs, the analysis may comprise extracting fluid from the native formation by pumping with a formation test tool, flowing the well in a drill stem test or examining the drill cuttings circulated to surface during drilling. The examination of the samples may be accomplished by transporting a quantity of the fluids to a laboratory and the separating the fluid into its constituent parts by distillation and/or by chromatographic methods. Another method relies on the measurement of light transmitted through a sample. This approach places a windowed cell within the fluid flow path of a formation testing tool. In one example, this method may require the determination of the amount of power delivered to the sample and the amount of power that is transmitted through the sample. The care and maintenance of the optical receiver can be difficult. High downhole temperatures can adversely affect a photodiode used as a receiver.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • A better understanding of the present disclosure can be obtained when the following detailed description of example embodiments are considered in conjunction with the following drawings, in which:
  • FIG. 1 shows a schematic of one example of a fluid analysis apparatus;
  • FIG. 2 shows a schematic of another example of a fluid analysis apparatus;
  • FIG. 3 is a partial sectional view of a formation testing tool having a fluid analysis apparatus;
  • FIG. 4 is a schematic of a fractionating process including a fluid analysis apparatus;
  • FIG. 5 shows one example of the overlapping relationship of a chopper wheel and a filter arrangement;
  • FIG. 6 shows a well drilling system comprising a bottom hole assembly that includes a formation testing tool; and
  • FIG. 7 shows an enlarged view of the formation testing tool of FIG. 6.
  • While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the scope of the present disclosure as defined by the appended claims.
  • DETAILED DESCRIPTION
  • Photoacoustic spectroscopy (PAS) is based on the absorption of light energy by a molecule. The signal in PAS is monitored by acoustic detection. Photoacoustic spectroscopic detection is based on the generation of acoustic waves as a consequence of light absorption. Absorption of light by a sample exposed thereto excites molecules in the sample. Modulation of the light intensity (turning the light on and off as the sample is exposed) causes the temperature of the sample to rise and fall with the absorption profile of the sample. As used herein, light refers to electromagnetic radiation of all wavelengths, whether visible or not. The temperature variation of the sample is accompanied by a pressure variation that creates a sound wave. The sound wave can be detected with an acoustic detector, for example a microphone. Many of the components of oil reservoir fluids have absorption bands in the infrared portion of the electromagnetic spectrum. By exciting the component with energy having a wavelength in the appropriate absorption band, the component can be caused to generate a sound signal which is indicative of the component. For gases, many of the absorption wavelengths are in the infrared portion of the electromagnetic spectrum. For example, the absorption wavelengths for hydrocarbon gases including methane, propane, and butane are in the range of 1677 nm and 1725 nm. Hydrogen sulfide gas has a group of absorption wavelengths near 1578 nm and carbon dioxide has several absorption wavelengths near 2007 nm and 1572 nm. It is to be noted that liquids may exhibit photoacoustic signal generation similar to, but possibly smaller in amplitude to, that of gases.
  • FIG. 1 shows a schematic of one example of an analysis apparatus 100 for determining the components of a fluid sample. As used herein, the term fluid is used to mean a gas, a liquid, and a combination of a gas and a liquid. In the example of FIG. 1, a fluid flowing in inlet line 124 is admitted to sample chamber 115 through valve 126 and sealed off by closing valves 126 and 128. Sample chamber 115 comprises an optical window 116 through at least a portion of one wall of sample chamber 115. Acoustic detector 117 may be inserted through the wall of sample chamber 115 and contact sample fluid 114. Acoustic detector 117 may comprise a capacitance microphone, a piezoelectric sensor, or any other suitable acoustic signal detector. Pump 122 is connected to sample chamber 115. In one embodiment pump 122 is a positive displacement pump. Positive displacement pumps include, but are not limited to, gear pumps and piston pumps. In one example, pump 122 may be activated to lower the pressure in sample chamber 115 below the vapor pressure of the fluid components such that substantially all of the original sample is converted to a gas phase. Pump 122 may also be used to pressure tune the acoustic response for enhanced signal generation. In one example, heater 118 may be attached to sample chamber 115 to raise the temperature of sample chamber 115 and sample 114 to assist in converting any liquid in sample chamber 115 to a gas phase. In another example, temperature may be used to pressure tune the photo acoustic response. In yet another example, the combination of a temperature tunable phase change substance with a temperature controlled cold element, both in operative contact with sample chamber 115, may be used to pressure tune the photo acoustic response. In one embodiment, the photo acoustic response of the phase change substance may serve as an internal reference standard.
  • In one embodiment, a light system 101 comprises light source 104, mirror 102, chopper wheel 106, and filter wheel 108. In one example, light source 104 may be a broad band infra-red source such as a heated filament wire. The energy from light source 104 may be collected and reflected by mirror 102 toward sample chamber 115. In one example, a focusing element (not shown) may be used to localize the energy within the sample 114 such that the intensity of the interaction is sufficient to generate a large temperature differential with respect to the surrounding fluid thereby allowing a large pressure gradient to form. The amplitude of the generated acoustic signal is related to the generated pressure gradient.
  • A motor (not shown) may drive chopper wheel 106 at a predetermined rate to modulate the light passed to sample 114 at a predetermined frequency, f Rings R1 and R2 of slots 150 and 151 may be formed in chopper wheel 106. The length and spacing of the slots in each individual ring may be different, such that the duty cycle (frequency and duration) of the energy transmitted to heat the sample fluid 114 may be different through slots 150 as compared to the energy transmitted to heat the sample fluid 114 through slots 151. Any suitable number of rings Ri may be formed in chopper wheel 106. The sample is heated by the absorption of the energy from light source 104 during the exposed time. In contrast, when chopping wheel 106 block the energy, the sample 114 cools off. A filter wheel 108 may comprise several filters 110 i that allow passage of a predetermined wavelength λi of the energy from source 104 that interacts with a component Ci of sample 114. Alternatively, an electronic or mechanical shutter, or series of shutters, may be used instead of a chopper wheel. The heating and cooling of sample 114 generates pressure fluctuations that are related to the presence of component Ci in sample 114. In one example, see FIG. 1, filter wheel 108 is rotatable such that one filter component 110 i is optically aligned to allow energy of wavelength λi to interact with sample 114 at a first time interval. Filter wheel 108 may then turned to allow a different to interact with sample 114 at a second time interval.
  • In another example, see FIG. 5, filter wheel 508 is shown overlaying chopper wheel 106. Filters 110 i may be arranged radially such that each filter passes a different characteristic wavelength, λi, interacting with a different ring Ri of slots 150-153. Energy may be transmitted from all of the filters simultaneously to sample 114. The heating and cooling from each ring of slots will have a characteristic frequency, fi, related to the number and spacing of the slots in each ring, and the rotational speed of the chopper wheel. The various energy absorbing components of sample 114 will emit multiple acoustic frequencies related to the appropriate filter and slot interaction. Multiple components Ci can be simultaneously identified. For example, energy of wavelengths λ1 and λ2, associated with rings R1 and R2, may be transmitted at frequencies f1 and f2 to interact with sample 114. Frequencies λ1 and λ2 are determined by the number of slots in rings R1 and R2 and the rotational rate of the chopper wheel 106. If sample 114 contains components C1 and C2, associated with wavelengths λ1 and λ2, the sample 114 will emit acoustic signals at frequencies f1 and f2. If, in another example, only component C1 is present, then sample 114 will emit an acoustic signal at frequency f1, but not at frequency f2.
  • Controller 132 may comprise electronic circuits 134, a processor 136, and a memory 138 in data communication with processor 136. Electronic circuits 134 may interface with and supply power to light source 104, heater 118, acoustic detector 117, and pump 122. Processor 136 may comprise a single processor or multiple processors, including a digital signal processor. Programmed instructions may be stored in memory 138 that when executed by processor 136, controls the operation of analysis apparatus 100. In one example, electronic circuits 134 may comprise analog filters to detect signals at the predetermined frequencies discussed previously. Alternatively, the sensor signal may be digitized and analyzed digitally for signals at the predetermined frequencies using techniques known in the art. In addition, data and models may be stored in memory 138 that relates the acoustic signal to the components Ci. For example, data relating to the specific absorption wavelengths may be stored in memory 138 for use in identifying the components of sample 114. In one example, data may be transmitted from controller 132 by telemetry device 140 to an external controller 142 for further data analysis and correlation. Alternatively, data may be stored on a computer readable medium 141 that may comprise a hard disk, a flash memory, a CD, a DVD, or any other suitable computer readable medium.
  • In another embodiment, FIG. 2 shows a schematic of one example of an analysis apparatus 200 for determining the components of a fluid sample. A fluid flowing in inlet line 224 is admitted to sample chamber 215 through valve 226, and sealed off by closing valves 226 and 228. Sample chamber 215 may comprise optical windows 216 and 219 through the walls of sample chamber 215. Acoustic detector 217 may be inserted through the wall of sample chamber 215 and contacts sample fluid 214. Pump 222 is connected to sample chamber 215. Pump 222 may be a positive displacement pump similar to pump 122 of FIG. 1. Positive displacement pumps include, but are not limited to, gear pumps and piston pumps. Pump 222 may be activated to lower the pressure in sample chamber 215 such that substantially all of the original sample is converted to a gas phase. Alternatively, an aliquot of the sample may be introduced into the chamber at reduced pressure with higher, the same, or lower temperature than the original fluid in order to flash the sample to the gas phase. In one example, heater 218 may be attached to sample chamber 215 to raise the temperature of sample chamber 215 and sample 214 to assist in converting any liquid in sample chamber 215 to a gas phase.
  • Light sources 244 and 242 may be narrow band infrared sources such as a laser, a laser diode, and a tunable laser diode. Each light source may emit a different light wavelength λi for identifying different components Ci of sample 214. While shown with two optical energy sources, it is understood that any number of light sources may be employed within the constraints of providing a suitable window access to sample 214. Alternatively, optical fibers may be placed and sealed through the wall. In one example, energy may be introduced to the sample using nanofiber evanescent field generation, known in the art.
  • Source controllers 246 and 240 may comprise control circuits for controlling the activation of sources 244 and 242 respectively. For example, such circuits may control the on-off frequency and amplitude of each source. This capability allows these types of sources to operate without the need for the mechanical chopper and the filter wheel of the embodiment shown in FIG. 1. The heating and cooling of sample 214 generates pressure fluctuations that are related to the presence of component Ci in sample 214. Controller 232 may comprise electronic circuits 234, a processor 236, and a memory 238 in data communication with processor 236. Electronic circuits 234 may interface with and supply power to controller sources 246 and 240, heater 218, acoustic detector 217, and pump 222. The sources 242 and 244 may be operated simultaneously, at different duty cycles, for simultaneous detection of components Ci of sample 214. The electronic control of the sources allows controller 232 to synchronize the signal detection to the source activation to enhance the signal to noise ratio. Processor 236 may comprise a single processor or multiple processors, including a digital signal processor. Programmed instructions may be stored in memory 238 that when executed by processor 236, controls the operation of analysis apparatus 200. In addition, data and models may be stored in memory 238 that relates the acoustic signal to the components Ci. For example, data relating to the specific absorption frequencies may be stored in memory 238 for use in identifying the components of sample 214. Alternatively, data may be stored on a computer readable medium 241 that may comprise a hard disk, a flash memory, a CD, a DVD, or any other suitable computer readable medium.
  • In one example, still referring to FIG. 2, an electromagnet 250 may be disposed at least partially around sample chamber 215 for use in detecting oxygen, O2, in sample 214. Oxygen does not absorb infrared light. However, by subjecting sample 214 to a pulsating magnetic field, the oxygen molecules will start to vibrate generating a pressure change that is detected by acoustic detector 217. One skilled in the art will appreciate that a magnetic coil may also be incorporated around sample chamber 115 of FIG. 1.
  • In one example, FIG. 3 shows a formation testing tool 10 for obtaining and analyzing a fluid sample from a subterranean formation 12 through a wellbore 14. Formation testing tool 10 is suspended in wellbore 14 by a wireline cable 16 that connects the tool 10 to a surface control unit 36. Alternatively, formation testing tool 10 may be deployed in wellbore 14 on coiled tubing, jointed drill pipe, hard wired drill pipe, or any other suitable deployment technique. Formation testing tool 10 may comprise an elongated, cylindrical body 18 having a control module 20, fluid acquisition module 22, and fluid storage modules 24, 26. Fluid acquisition module 22 comprises an extendable fluid admitting probe 32 and extendable tool anchors 34. Fluid is drawn into the tool through probe 32 by a fluid pumping unit (not shown). The acquired fluid then flows through fluid measurement module 200 that, as described above, analyzes the fluid using PAS techniques described herein, and sends data to surface control unit 36 via the wireline cable 16. The fluid then can be stored in the fluid storage modules 24, 26 and retrieved to the surface for further analysis.
  • In another example embodiment, referring to FIG. 6, a drilling rig 10 (simplified to exclude items not important to this application) comprises a derrick 12, derrick floor 14, draw works 16, hook 18, swivel 20, kelly joint 22 and rotary table 24, such components being arranged in a conventional manner so as to support and impart rotation to drillstring 26. Drill string 26 includes at its lower end a bottom hole assembly 29 which comprises drill collar 28, MWD tool 30 (which may be any kind of MWD tool, such as an acoustic logging tool), MWD formation testing tool 32 (which may be a separate tool as shown or may be incorporated into another tool) and drill bit 34. Drilling fluid (which may also be referred to as “drilling mud”) is injected into the swivel by a mud supply line 36. The mud travels through the kelly joint 22, drillstring 26, drill collars 28, MWD tool 30 and MWD formation testing tool 32 and exits through ports in the drill bit 34. The mud then flows up the borehole 38. A mud return line 40 returns mud from the borehole 38 and circulates it to a mud pit (not shown) and ultimately back to the mud supply line 36.
  • The data collected by the MWD tool 30 and formation testing tool 32 may be returned to the surface for analysis by telemetry transmitted in any conventional manner, including but not limited to mud pulse telemetry, electromagnetic telemetry, and acoustic telemetry. Alternatively, drill string 26 and drill collars 28 may be hard wired to provide high data rate telemetry. For purposes of the present application, the embodiment described herein will be explained with respect to use of mud pulse telemetry. A telemetry transmitter 42 located in a drill collar 28 or in one of the MWD tools collects data from the MWD tools and transmits it through the mud via pressure pulses generated in the drilling mud. A telemetry sensor 44 on the surface detects the telemetry and returns it to a demodulator 46. The demodulator 46 demodulates the data and provides it to computing equipment 48 where the data is analyzed to extract useful geological information.
  • Further, commands may be passed downhole to the MWD tool and formation testing tool 32 in a variety of ways. In addition to the methods described in the previous paragraph, information may be transmitted by performing predefined sequences of drill pipe rotations that can be sensed in the MWD tools and translated into commands. Similarly, the mud pumps may be cycled on and off in predefined sequences to transmit information in a similar fashion.
  • In one embodiment, the formation testing tool 32 comprises a plurality of centralizing pistons 60 and one or more sampling pistons 62, as shown in FIG. 7. For present purposes, the formation testing tool will be described with reference to tool 32 having one sampling piston 62, it being understood that the tool could likewise be configured to include additional such pistons 62. The plurality of centralizing pistons 60 centralize the formation testing tool 32 in the borehole 38. Once the formation testing tool 32 is centralized, the sampling piston 62 extends from the formation testing tool 32 to the borehole wall 66, where it seals against the wall and allows formation testing to be performed.
  • In one embodiment of the formation testing tool 32, the centralizing pistons 60 are all in the same cross section and the sampling piston 62 is in a different cross section. In another embodiment, one or more of the centralizing pistons 68 are in a different cross-section from the remaining centralizing pistons 60. In still another embodiment, the centralizing pistons are in three or more cross sections.
  • During drilling operations, the centralizing pistons 60 and the sampling piston 62 are retained in a retracted position inside the formation testing tool 32. In this position, the sampling piston 62 is recessed below the surface of the formation testing tool 32, as is discussed further below. When it is time to perform the formation testing function, the rotation of the drill string 26 is ceased and the centralizing pistons 60 are extended at the same rate so that the formation testing tool 32 is relatively centralized within the borehole, as shown in FIG. 7. The sampling piston 62 is then extended and the formation testing tool 32 performs its testing function, including analyzing the formation fluid using the PAS techniques described herein. One skilled in the art will appreciate that the above described MWD formation testing tool may be alternatively deployed in the wellbore with coiled tubing equipment (not shown), using techniques known in the art.
  • In another example, see FIG. 4, a process feed stream, which may comprise hydrocarbon components, is fractionated in a fractionating apparatus 402. Different fractionating components 404, 406, 408 and 410 are removed at different levels of the process. Samples of fractionating components 404, 406, 408 and 410 may be taken through valves 421, 422, 423 and 424. The samples may be analyzed by an analysis system such as analysis system 100 described previously, or alternatively, by analysis system 200 described previously, to determine the components of the individual streams.
  • The analysis systems described herein may also be used for analyzing fluid components in pipelines.
  • In one operational example, for use with a liquid slurry, the length of the energy pulse may be used to control the depth of investigation into the sample, thereby allowing the examination of the carrier liquid while substantially ignoring the slurry solids. In another example, the lengthening of the ON pulse time may be used to detect fouling of the optical windows. For example, a constant acoustic signal amplitude with an increasing ON pulse length, may indicate that the acoustic signal is not penetrating deeper into the sample but is being generated in a substantially small fluid volume near the window.
  • Numerous variations and modifications will become apparent to those skilled in the art. It is intended that the following claims be interpreted to embrace all such variations and modifications.

Claims (6)

What is claimed is:
1. A method for analyzing a fluid comprising:
collecting a sample of the fluid;
exposing the fluid sample to a light of a predetermined wavelength at a predetermined modulation frequency;
sensing an acoustic signal caused by the interaction of the light and the fluid sample; and
relating the sensed acoustic signal to at least one component of the fluid.
2. The method of claim 1 wherein collecting a sample of the fluid comprises collecting a sample of a formation fluid with a formation test tool in a well.
3. The method of claim 1 wherein exposing the sample to a light of a predetermined wavelength at a predetermined modulation frequency comprises filtering a broadband light into at least one predetermined wavelength and chopping the light into at least one predetermined modulation frequency.
4. The method of claim 3 wherein filtering a broadband light into at least one predetermined wavelength and chopping the light into at least one predetermined modulation frequency comprises filtering the light into a plurality of predetermined wavelengths and chopping each of the plurality of wavelengths into a different predetermined modulation frequency.
5. The method of claim 4 wherein relating the sensed acoustic signal to at least one component of the fluid comprises analyzing the sensed acoustic signal at each of the predetermined modulation frequencies.
6. The method of claim 1 wherein exposing the sample to a light of a predetermined wavelength at a predetermined modulation frequency comprises exposing the sample to a plurality of narrow band light beams wherein each light beam is at a different predetermined wavelength.
US14/979,190 2008-04-09 2015-12-22 Apparatus and method for analysis of a fluid sample Abandoned US20160139085A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US14/979,190 US20160139085A1 (en) 2008-04-09 2015-12-22 Apparatus and method for analysis of a fluid sample

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US4345308P 2008-04-09 2008-04-09
PCT/US2009/039788 WO2009126636A2 (en) 2008-04-09 2009-04-07 Apparatus and method for analysis of a fluid sample
US93650910A 2010-10-05 2010-10-05
US14/979,190 US20160139085A1 (en) 2008-04-09 2015-12-22 Apparatus and method for analysis of a fluid sample

Related Parent Applications (2)

Application Number Title Priority Date Filing Date
PCT/US2009/039788 Division WO2009126636A2 (en) 2008-04-09 2009-04-07 Apparatus and method for analysis of a fluid sample
US12/936,509 Division US9234835B2 (en) 2008-04-09 2009-04-07 Apparatus and method for analysis of a fluid sample

Publications (1)

Publication Number Publication Date
US20160139085A1 true US20160139085A1 (en) 2016-05-19

Family

ID=41162549

Family Applications (2)

Application Number Title Priority Date Filing Date
US12/936,509 Expired - Fee Related US9234835B2 (en) 2008-04-09 2009-04-07 Apparatus and method for analysis of a fluid sample
US14/979,190 Abandoned US20160139085A1 (en) 2008-04-09 2015-12-22 Apparatus and method for analysis of a fluid sample

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US12/936,509 Expired - Fee Related US9234835B2 (en) 2008-04-09 2009-04-07 Apparatus and method for analysis of a fluid sample

Country Status (6)

Country Link
US (2) US9234835B2 (en)
AU (1) AU2009233826B2 (en)
BR (1) BRPI0910948B1 (en)
GB (1) GB2471048B (en)
MY (1) MY163654A (en)
WO (1) WO2009126636A2 (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10066991B2 (en) 2014-12-31 2018-09-04 Halliburton Energy Services, Inc. Optical processing of multiple spectral ranges using integrated computational elements
WO2019014134A1 (en) * 2017-07-11 2019-01-17 Saudi Arabian Oil Company Photoacoustic gas detection
US10358714B2 (en) 2014-06-30 2019-07-23 Halliburton Energy Services, Inc. System and method for deposition of integrated computational elements (ICE) using a translation stage
US10724355B2 (en) 2016-12-19 2020-07-28 Halliburton Energy Services, Inc. Downhole tools and methods for isolating and analyzing gases from downhole fluids
US12085687B2 (en) 2022-01-10 2024-09-10 Saudi Arabian Oil Company Model-constrained multi-phase virtual flow metering and forecasting with machine learning
US12123299B2 (en) 2021-08-31 2024-10-22 Saudi Arabian Oil Company Quantitative hydraulic fracturing surveillance from fiber optic sensing using machine learning

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8367413B2 (en) * 2008-12-16 2013-02-05 Halliburton Energy Services, Inc. Determining formation fluid composition
US8164050B2 (en) 2009-11-06 2012-04-24 Precision Energy Services, Inc. Multi-channel source assembly for downhole spectroscopy
US8436296B2 (en) 2009-11-06 2013-05-07 Precision Energy Services, Inc. Filter wheel assembly for downhole spectroscopy
US8735803B2 (en) 2009-11-06 2014-05-27 Precision Energy Services, Inc Multi-channel detector assembly for downhole spectroscopy
US9091151B2 (en) 2009-11-19 2015-07-28 Halliburton Energy Services, Inc. Downhole optical radiometry tool
AU2009356978B2 (en) 2009-12-23 2013-08-01 Halliburton Energy Services, Inc. Interferometry-based downhole analysis tool
BR112012027653A2 (en) 2010-06-01 2016-08-16 Halliburton Energy Services Inc method and system for measuring formation properties
BR112012013906A2 (en) 2010-06-16 2016-04-26 Halliburton Energy Services Inc light source
US9157311B2 (en) * 2010-07-08 2015-10-13 Halliburton Energy Services, Inc. Method and system of determining constituent components of a fluid sample
US9052289B2 (en) 2010-12-13 2015-06-09 Schlumberger Technology Corporation Hydrogen sulfide (H2S) detection using functionalized nanoparticles
US8714254B2 (en) 2010-12-13 2014-05-06 Schlumberger Technology Corporation Method for mixing fluids downhole
US8708049B2 (en) 2011-04-29 2014-04-29 Schlumberger Technology Corporation Downhole mixing device for mixing a first fluid with a second fluid
US8826981B2 (en) 2011-09-28 2014-09-09 Schlumberger Technology Corporation System and method for fluid processing with variable delivery for downhole fluid analysis
BR102014020098A2 (en) 2013-08-29 2015-11-24 Gen Electric method and system
CA2923008C (en) * 2013-10-09 2018-07-10 Halliburton Energy Services, Inc. Systems and methods for measuring downhole fluid characteristics in drilling fluids
US9618446B2 (en) * 2014-01-28 2017-04-11 Schlumberger Technology Corporation Fluidic speed of sound measurement using photoacoustics
US9874655B2 (en) * 2014-10-31 2018-01-23 Schlumberger Technology Corporation Fluid analyzer using absorption spectroscopy
US9638628B2 (en) * 2015-08-27 2017-05-02 General Electric Company Gas analysis system and method
US10794824B2 (en) 2016-09-30 2020-10-06 Halliburton Energy Services, Inc. Systems and methods for terahertz spectroscopy
WO2019143642A1 (en) 2018-01-20 2019-07-25 Pietro Fiorentini (USA), Inc. Apparatus and methods for high quality analysis of reservoir fluids
US11573220B2 (en) * 2018-12-31 2023-02-07 Baker Hughes Oilfield Operations Llc Cataluminescence for downhole fluid analysis
EP3702772A1 (en) * 2019-02-26 2020-09-02 Hahn-Schickard-Gesellschaft für angewandte Forschung e.V. Photoacoustic spectroscope with a vibrating structure as sound detector
US11082127B1 (en) * 2019-03-07 2021-08-03 Massachusetts Institute Of Technology Methods and apparatus for acoustic laser communications
US20200292477A1 (en) * 2019-03-14 2020-09-17 Baker Hughes Oilfield Operations Llc Nano-particle detection of chemical trace amounts in downhole nmr fluid analyzer
US11808147B2 (en) 2021-09-21 2023-11-07 Halliburton Energy Services, Inc. Multi-phase fluid identification for subsurface sensor measurement
US11933171B2 (en) 2022-01-04 2024-03-19 Halliburton Energy Services, Inc. Adaptive detection of abnormal channels for subsurface optical measurements

Citations (58)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3938365A (en) * 1973-11-29 1976-02-17 Massachusetts Institute Of Technology Detecting trace gaseous species acoustically in response to radiation from an intense light source
US3985507A (en) * 1975-09-05 1976-10-12 International Business Machines Corporation Automatic test sample handling system
US4051371A (en) * 1976-04-26 1977-09-27 Massachusetts Institute Of Technology Opto-acoustic spectroscopy employing amplitude and wavelength modulation
US4055764A (en) * 1975-12-22 1977-10-25 The United States Of America As Represented By The United States National Aeronautics And Space Administration Optically selective, acoustically resonant gas detecting transducer
US4158505A (en) * 1976-12-27 1979-06-19 International Business Machines Corporation Spectrum analyzing system with photodiode array
US4457162A (en) * 1982-09-17 1984-07-03 Institute Of Gas Technology Multi-frequency photo-acoustic detector
US4492862A (en) * 1981-08-07 1985-01-08 Mathematical Sciences Northwest, Inc. Method and apparatus for analyzing components of hydrocarbon gases recovered from oil, natural gas and coal drilling operations
US4622845A (en) * 1985-03-21 1986-11-18 Westinghouse Electric Corp. Method and apparatus for the detection and measurement of gases
US4785184A (en) * 1986-05-27 1988-11-15 Spectral Sciences, Inc. Infrared trace element detection system
US4818882A (en) * 1986-05-27 1989-04-04 Aktieselskabet Bruel & Kjaer Photoacoustic gas analyzer
US5107118A (en) * 1990-10-01 1992-04-21 Uop Measurement of water levels in liquid hydrocarbon media
US5159411A (en) * 1988-09-12 1992-10-27 Fls Airloq A/S Method and apparatus for the detection of a gas using photoacoustic spectroscopy
US5241178A (en) * 1989-03-16 1993-08-31 John Shields Infrared grain analyzer with controllable measurement wavelength
US5329811A (en) * 1993-02-04 1994-07-19 Halliburton Company Downhole fluid property measurement tool
US5596146A (en) * 1994-06-06 1997-01-21 Iowa State University Research Foundation, Inc. Photoacoustic measurement of unburned carbon in fly-ash
US5652654A (en) * 1996-08-12 1997-07-29 Asimopoulos; George Dual beam spectrophotometer
US5889202A (en) * 1996-06-05 1999-03-30 Alapati; Rama Rao System for continuous analysis and modification of characteristics of a liquid hydrocarbon stream
US6218662B1 (en) * 1998-04-23 2001-04-17 Western Atlas International, Inc. Downhole carbon dioxide gas analyzer
US6236455B1 (en) * 1998-06-26 2001-05-22 Battelle Memorial Institute Photoacoustic spectroscopy sample cells and methods of photoacoustic spectroscopy
US20020158212A1 (en) * 1998-04-17 2002-10-31 French Todd E. Apparatus and methods for time-resolved optical spectroscopy
US20020178782A1 (en) * 2000-01-14 2002-12-05 Jesper Lange Gas analyser
US20030134426A1 (en) * 2000-02-26 2003-07-17 Li Jiang Hydrogen sulphide detection method and apparatus
US20040069942A1 (en) * 2000-12-19 2004-04-15 Go Fujisawa Methods and apparatus for determining chemical composition of reservoir fluids
US20050137469A1 (en) * 2003-12-17 2005-06-23 Berman Herbert L. Single detector infrared ATR glucose measurement system
US20050160791A1 (en) * 2004-01-20 2005-07-28 Andy Kung Ultraviolet photoacoustic ozone detection
US20050275844A1 (en) * 2002-12-20 2005-12-15 University Of South Florida Variable Exposure Rotary Spectrometer
US20060055932A1 (en) * 2004-08-05 2006-03-16 Mccandless James A Self-referencing instrument and method thereof for measuring electromagnetic properties
US20060106435A1 (en) * 2003-01-16 2006-05-18 Fraval Hadrian N Photodynamic therapy light source
US20060123884A1 (en) * 2004-12-08 2006-06-15 Mark Selker System and method for gas analysis using doubly resonant photoacoustic spectroscopy
US20060256339A1 (en) * 2003-05-23 2006-11-16 Donnacha Lowney Method and apparatus for analysis of semiconductor materials using photoacoustic spectroscopy techniques
US20060266108A1 (en) * 2005-05-24 2006-11-30 Difoggio Rocco Method and apparatus for reservoir characterization using photoacoustic spectroscopy
US20070013911A1 (en) * 2003-11-10 2007-01-18 Baker Hughes Incorporated Light source for a downhole spectrometer
US20070119244A1 (en) * 2002-12-03 2007-05-31 Goodwin Anthony R Methods and apparatus for the downhole characterization of formation fluids
US20070151325A1 (en) * 2004-03-29 2007-07-05 Noveltech Solutions Oy Method and system for detecting one or more gases or gas mixtures and/or for measuring the concentration of one or more gases or gas mixtures
US20070263218A1 (en) * 2006-05-10 2007-11-15 The United States Of America As Represented By The Army Rapid 4-Stokes parameter determination via stokes filter
US20080011055A1 (en) * 2006-07-12 2008-01-17 Finesse, Llc. System and method for gas analysis using photoacoustic spectroscopy
US7362422B2 (en) * 2003-11-10 2008-04-22 Baker Hughes Incorporated Method and apparatus for a downhole spectrometer based on electronically tunable optical filters
US20080127715A1 (en) * 2004-02-09 2008-06-05 Wm. Marsh Rice University Selectivity Enhancement In Photoacoustic Gas Analysis Via Phase-Sensitive Detection At High Modulation Frequency
US20080149819A1 (en) * 2006-12-20 2008-06-26 Schlumberger Technology Corporation Apparatus and methods for oil-water-gas analysis using terahertz radiation
US7423258B2 (en) * 2005-02-04 2008-09-09 Baker Hughes Incorporated Method and apparatus for analyzing a downhole fluid using a thermal detector
US7516655B2 (en) * 2006-03-30 2009-04-14 Baker Hughes Incorporated Downhole fluid characterization based on changes in acoustic properties with pressure
US7520158B2 (en) * 2005-05-24 2009-04-21 Baker Hughes Incorporated Method and apparatus for reservoir characterization using photoacoustic spectroscopy
US20090158820A1 (en) * 2007-12-20 2009-06-25 Schlumberger Technology Corporation Method and system for downhole analysis
US20090213381A1 (en) * 2008-02-21 2009-08-27 Dirk Appel Analyzer system and optical filtering
US20090229345A1 (en) * 2005-03-04 2009-09-17 Koninklijke Philips Electronics, N.V. Photoacoustic spectroscopy detector and system
US20090249861A1 (en) * 2006-08-31 2009-10-08 Koninklijke Philips Electronics N.V. Stable photo acoustic trace gas detector with optical power enhancement cavity
US20090270698A1 (en) * 2005-10-21 2009-10-29 Masahiko Shioi Bioinformation measurement device
US20090288474A1 (en) * 2006-08-31 2009-11-26 Koninklijke Philips Electronics N.V. Optical cavity-enhanced photo acoustic trace gas detector with variable light intensity modulator
US20090320561A1 (en) * 2008-04-17 2009-12-31 Honeywell International Inc. Photoacoustic cell
US20100011836A1 (en) * 2006-08-31 2010-01-21 Koninklijke Philips Electronics N.V. Cavity-enhanced photo acoustic trace gas detector with improved feedback loop
US20100101305A1 (en) * 2007-03-27 2010-04-29 Miklos Prof Andras Photoacoustic detector with two beam paths for excitation light
US20100145419A1 (en) * 2003-12-17 2010-06-10 Rofin Australia Pty Ltd Photodynamic Therapy Light Source
US20100221762A1 (en) * 2004-10-21 2010-09-02 Optiscan Biomedical Corporation Method and apparatus for determining an analyte concentration in a sample having interferents
US20100264315A1 (en) * 2007-11-07 2010-10-21 Toyota Jidosha Kabushiki Kaisha Hydrocarbon concentration measuring apparatus and hydrocarbon concentration measuring method
US7921693B2 (en) * 2005-07-06 2011-04-12 Koninklijke Philips Electronics N.V. Photo-acoustic spectrometer apparatus
US20110108721A1 (en) * 2009-11-06 2011-05-12 Precision Energy Services, Inc. Filter Wheel Assembly for Downhole Spectroscopy
US20110277993A9 (en) * 2007-07-19 2011-11-17 Greg Schlachter In Situ Determination of Critical Desorption Pressures
US20120298851A1 (en) * 2010-02-05 2012-11-29 Halliburton Energy Services, Inc. Compensated optical detection apparatus, systems, and methods

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5184508A (en) * 1990-06-15 1993-02-09 Louisiana State University And Agricultural And Mechanical College Method for determining formation pressure
US5348002A (en) * 1992-04-23 1994-09-20 Sirraya, Inc. Method and apparatus for material analysis
US5447052A (en) * 1992-11-23 1995-09-05 Texaco Inc. Microwave hydrocarbon gas extraction system
US5602334A (en) * 1994-06-17 1997-02-11 Halliburton Company Wireline formation testing for low permeability formations utilizing pressure transients
US5644076A (en) * 1996-03-14 1997-07-01 Halliburton Energy Services, Inc. Wireline formation tester supercharge correction method
EP1518038A1 (en) * 2002-06-28 2005-03-30 Shell Internationale Researchmaatschappij B.V. System for detecting gas in a wellbore during drilling
WO2004020982A1 (en) * 2002-08-27 2004-03-11 Halliburton Energy Services, Inc. Single phase sampling apparatus and method
AU2003303398A1 (en) * 2002-12-23 2004-07-22 The Charles Stark Draper Laboratory, Inc. Dowhole chemical sensor and method of using same
BRPI0410776B1 (en) * 2003-05-21 2016-01-19 Baker Hughes Inc apparatus and method for determining pumping rate for forming fluid sample
US7195063B2 (en) 2003-10-15 2007-03-27 Schlumberger Technology Corporation Downhole sampling apparatus and method for using same
WO2006063094A1 (en) 2004-12-09 2006-06-15 Caleb Brett Usa Inc. In situ optical computation fluid analysis system and method
US7933018B2 (en) * 2005-08-15 2011-04-26 Schlumberger Technology Corporation Spectral imaging for downhole fluid characterization
US7458257B2 (en) * 2005-12-19 2008-12-02 Schlumberger Technology Corporation Downhole measurement of formation characteristics while drilling
US8037747B2 (en) * 2006-03-30 2011-10-18 Baker Hughes Incorporated Downhole fluid characterization based on changes in acoustic properties
US7804598B2 (en) * 2006-08-04 2010-09-28 Schlumberger Technology Corportion High power acoustic resonator with integrated optical interfacial elements
US7600413B2 (en) * 2006-11-29 2009-10-13 Schlumberger Technology Corporation Gas chromatography system architecture
US7828058B2 (en) * 2007-03-27 2010-11-09 Schlumberger Technology Corporation Monitoring and automatic control of operating parameters for a downhole oil/water separation system
US20110016962A1 (en) * 2009-07-21 2011-01-27 Baker Hughes Incorporated Detector for Characterizing a Fluid

Patent Citations (69)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3938365A (en) * 1973-11-29 1976-02-17 Massachusetts Institute Of Technology Detecting trace gaseous species acoustically in response to radiation from an intense light source
US3985507A (en) * 1975-09-05 1976-10-12 International Business Machines Corporation Automatic test sample handling system
US4055764A (en) * 1975-12-22 1977-10-25 The United States Of America As Represented By The United States National Aeronautics And Space Administration Optically selective, acoustically resonant gas detecting transducer
US4051371A (en) * 1976-04-26 1977-09-27 Massachusetts Institute Of Technology Opto-acoustic spectroscopy employing amplitude and wavelength modulation
US4158505A (en) * 1976-12-27 1979-06-19 International Business Machines Corporation Spectrum analyzing system with photodiode array
US4492862A (en) * 1981-08-07 1985-01-08 Mathematical Sciences Northwest, Inc. Method and apparatus for analyzing components of hydrocarbon gases recovered from oil, natural gas and coal drilling operations
US4457162A (en) * 1982-09-17 1984-07-03 Institute Of Gas Technology Multi-frequency photo-acoustic detector
US4622845A (en) * 1985-03-21 1986-11-18 Westinghouse Electric Corp. Method and apparatus for the detection and measurement of gases
US4785184A (en) * 1986-05-27 1988-11-15 Spectral Sciences, Inc. Infrared trace element detection system
US4818882A (en) * 1986-05-27 1989-04-04 Aktieselskabet Bruel & Kjaer Photoacoustic gas analyzer
US5159411A (en) * 1988-09-12 1992-10-27 Fls Airloq A/S Method and apparatus for the detection of a gas using photoacoustic spectroscopy
US5241178A (en) * 1989-03-16 1993-08-31 John Shields Infrared grain analyzer with controllable measurement wavelength
US5107118A (en) * 1990-10-01 1992-04-21 Uop Measurement of water levels in liquid hydrocarbon media
US5329811A (en) * 1993-02-04 1994-07-19 Halliburton Company Downhole fluid property measurement tool
US5596146A (en) * 1994-06-06 1997-01-21 Iowa State University Research Foundation, Inc. Photoacoustic measurement of unburned carbon in fly-ash
US5889202A (en) * 1996-06-05 1999-03-30 Alapati; Rama Rao System for continuous analysis and modification of characteristics of a liquid hydrocarbon stream
US5652654A (en) * 1996-08-12 1997-07-29 Asimopoulos; George Dual beam spectrophotometer
US20020158212A1 (en) * 1998-04-17 2002-10-31 French Todd E. Apparatus and methods for time-resolved optical spectroscopy
US6218662B1 (en) * 1998-04-23 2001-04-17 Western Atlas International, Inc. Downhole carbon dioxide gas analyzer
US6236455B1 (en) * 1998-06-26 2001-05-22 Battelle Memorial Institute Photoacoustic spectroscopy sample cells and methods of photoacoustic spectroscopy
US20010022657A1 (en) * 1998-06-26 2001-09-20 Tom Autrey Photoacoustic spectroscopy apparatus and method
US6348968B2 (en) * 1998-06-26 2002-02-19 Battelle Memorial Institute Photoacoustic spectroscopy apparatus and method
US6725704B2 (en) * 2000-01-14 2004-04-27 Pas Technology A/S Gas analyzer
US20020178782A1 (en) * 2000-01-14 2002-12-05 Jesper Lange Gas analyser
US20030134426A1 (en) * 2000-02-26 2003-07-17 Li Jiang Hydrogen sulphide detection method and apparatus
US20040069942A1 (en) * 2000-12-19 2004-04-15 Go Fujisawa Methods and apparatus for determining chemical composition of reservoir fluids
US7095012B2 (en) * 2000-12-19 2006-08-22 Schlumberger Technology Corporation Methods and apparatus for determining chemical composition of reservoir fluids
US20070119244A1 (en) * 2002-12-03 2007-05-31 Goodwin Anthony R Methods and apparatus for the downhole characterization of formation fluids
US20050275844A1 (en) * 2002-12-20 2005-12-15 University Of South Florida Variable Exposure Rotary Spectrometer
US20060106435A1 (en) * 2003-01-16 2006-05-18 Fraval Hadrian N Photodynamic therapy light source
US20060256339A1 (en) * 2003-05-23 2006-11-16 Donnacha Lowney Method and apparatus for analysis of semiconductor materials using photoacoustic spectroscopy techniques
US20070013911A1 (en) * 2003-11-10 2007-01-18 Baker Hughes Incorporated Light source for a downhole spectrometer
US7362422B2 (en) * 2003-11-10 2008-04-22 Baker Hughes Incorporated Method and apparatus for a downhole spectrometer based on electronically tunable optical filters
US7511819B2 (en) * 2003-11-10 2009-03-31 Baker Hughes Incorporated Light source for a downhole spectrometer
US20100145419A1 (en) * 2003-12-17 2010-06-10 Rofin Australia Pty Ltd Photodynamic Therapy Light Source
US20050137469A1 (en) * 2003-12-17 2005-06-23 Berman Herbert L. Single detector infrared ATR glucose measurement system
US20050160791A1 (en) * 2004-01-20 2005-07-28 Andy Kung Ultraviolet photoacoustic ozone detection
US20080127715A1 (en) * 2004-02-09 2008-06-05 Wm. Marsh Rice University Selectivity Enhancement In Photoacoustic Gas Analysis Via Phase-Sensitive Detection At High Modulation Frequency
US20070151325A1 (en) * 2004-03-29 2007-07-05 Noveltech Solutions Oy Method and system for detecting one or more gases or gas mixtures and/or for measuring the concentration of one or more gases or gas mixtures
US20060055932A1 (en) * 2004-08-05 2006-03-16 Mccandless James A Self-referencing instrument and method thereof for measuring electromagnetic properties
US20100221762A1 (en) * 2004-10-21 2010-09-02 Optiscan Biomedical Corporation Method and apparatus for determining an analyte concentration in a sample having interferents
US20060123884A1 (en) * 2004-12-08 2006-06-15 Mark Selker System and method for gas analysis using doubly resonant photoacoustic spectroscopy
US7423258B2 (en) * 2005-02-04 2008-09-09 Baker Hughes Incorporated Method and apparatus for analyzing a downhole fluid using a thermal detector
US20090229345A1 (en) * 2005-03-04 2009-09-17 Koninklijke Philips Electronics, N.V. Photoacoustic spectroscopy detector and system
US7387021B2 (en) * 2005-05-24 2008-06-17 Baker Hughes Incorporated Method and apparatus for reservoir characterization using photoacoustic spectroscopy
US20060266108A1 (en) * 2005-05-24 2006-11-30 Difoggio Rocco Method and apparatus for reservoir characterization using photoacoustic spectroscopy
US7520158B2 (en) * 2005-05-24 2009-04-21 Baker Hughes Incorporated Method and apparatus for reservoir characterization using photoacoustic spectroscopy
US7921693B2 (en) * 2005-07-06 2011-04-12 Koninklijke Philips Electronics N.V. Photo-acoustic spectrometer apparatus
US20090270698A1 (en) * 2005-10-21 2009-10-29 Masahiko Shioi Bioinformation measurement device
US7516655B2 (en) * 2006-03-30 2009-04-14 Baker Hughes Incorporated Downhole fluid characterization based on changes in acoustic properties with pressure
US20070263218A1 (en) * 2006-05-10 2007-11-15 The United States Of America As Represented By The Army Rapid 4-Stokes parameter determination via stokes filter
US7398672B2 (en) * 2006-07-12 2008-07-15 Finesse Solutions, Llc. System and method for gas analysis using photoacoustic spectroscopy
US20080134756A1 (en) * 2006-07-12 2008-06-12 Finesse, Llc. System and method for gas analysis using photoacoustic spectroscopy
US20080011055A1 (en) * 2006-07-12 2008-01-17 Finesse, Llc. System and method for gas analysis using photoacoustic spectroscopy
US20090249861A1 (en) * 2006-08-31 2009-10-08 Koninklijke Philips Electronics N.V. Stable photo acoustic trace gas detector with optical power enhancement cavity
US20090288474A1 (en) * 2006-08-31 2009-11-26 Koninklijke Philips Electronics N.V. Optical cavity-enhanced photo acoustic trace gas detector with variable light intensity modulator
US20100011836A1 (en) * 2006-08-31 2010-01-21 Koninklijke Philips Electronics N.V. Cavity-enhanced photo acoustic trace gas detector with improved feedback loop
US20080149819A1 (en) * 2006-12-20 2008-06-26 Schlumberger Technology Corporation Apparatus and methods for oil-water-gas analysis using terahertz radiation
US7781737B2 (en) * 2006-12-20 2010-08-24 Schlumberger Technology Corporation Apparatus and methods for oil-water-gas analysis using terahertz radiation
US20100101305A1 (en) * 2007-03-27 2010-04-29 Miklos Prof Andras Photoacoustic detector with two beam paths for excitation light
US8256282B2 (en) * 2007-07-19 2012-09-04 Schlumberger Technology Corporation In situ determination of critical desorption pressures
US20110277993A9 (en) * 2007-07-19 2011-11-17 Greg Schlachter In Situ Determination of Critical Desorption Pressures
US20100264315A1 (en) * 2007-11-07 2010-10-21 Toyota Jidosha Kabushiki Kaisha Hydrocarbon concentration measuring apparatus and hydrocarbon concentration measuring method
US20090158820A1 (en) * 2007-12-20 2009-06-25 Schlumberger Technology Corporation Method and system for downhole analysis
US20090213381A1 (en) * 2008-02-21 2009-08-27 Dirk Appel Analyzer system and optical filtering
US20090320561A1 (en) * 2008-04-17 2009-12-31 Honeywell International Inc. Photoacoustic cell
US20110108721A1 (en) * 2009-11-06 2011-05-12 Precision Energy Services, Inc. Filter Wheel Assembly for Downhole Spectroscopy
US8436296B2 (en) * 2009-11-06 2013-05-07 Precision Energy Services, Inc. Filter wheel assembly for downhole spectroscopy
US20120298851A1 (en) * 2010-02-05 2012-11-29 Halliburton Energy Services, Inc. Compensated optical detection apparatus, systems, and methods

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10358714B2 (en) 2014-06-30 2019-07-23 Halliburton Energy Services, Inc. System and method for deposition of integrated computational elements (ICE) using a translation stage
US10066991B2 (en) 2014-12-31 2018-09-04 Halliburton Energy Services, Inc. Optical processing of multiple spectral ranges using integrated computational elements
US10724355B2 (en) 2016-12-19 2020-07-28 Halliburton Energy Services, Inc. Downhole tools and methods for isolating and analyzing gases from downhole fluids
WO2019014134A1 (en) * 2017-07-11 2019-01-17 Saudi Arabian Oil Company Photoacoustic gas detection
US10429350B2 (en) 2017-07-11 2019-10-01 Saudi Arabian Oil Company Photoacoustic gas detection
US10809229B2 (en) 2017-07-11 2020-10-20 Saudi Arabian Oil Company Photoacoustic gas detection
US12123299B2 (en) 2021-08-31 2024-10-22 Saudi Arabian Oil Company Quantitative hydraulic fracturing surveillance from fiber optic sensing using machine learning
US12085687B2 (en) 2022-01-10 2024-09-10 Saudi Arabian Oil Company Model-constrained multi-phase virtual flow metering and forecasting with machine learning

Also Published As

Publication number Publication date
GB2471048B (en) 2012-05-30
MY163654A (en) 2017-10-13
BRPI0910948B1 (en) 2019-06-04
AU2009233826B2 (en) 2012-07-26
GB201017051D0 (en) 2010-11-24
US9234835B2 (en) 2016-01-12
AU2009233826A1 (en) 2009-10-15
US20110023594A1 (en) 2011-02-03
WO2009126636A3 (en) 2009-12-30
GB2471048A (en) 2010-12-15
WO2009126636A2 (en) 2009-10-15
BRPI0910948A2 (en) 2016-01-05

Similar Documents

Publication Publication Date Title
US9234835B2 (en) Apparatus and method for analysis of a fluid sample
US8760657B2 (en) In-situ detection and analysis of methane in coal bed methane formations with spectrometers
US8867040B2 (en) In-situ detection and analysis of methane in coal bed methane formations with spectrometers
US9029762B2 (en) Downhole spectroscopic detection of carbon dioxide and hydrogen sulfide
USRE44728E1 (en) In-situ detection and analysis of methane in coal bed methane formations with spectrometers
WO2000042416A1 (en) Optical tool and method for analysis of formation fluids
AU2001255282A1 (en) In-situ detection and analysis of methane in coal bed methane formations with spectrometers
WO2004003506A2 (en) In-situ detection and analysis of coal bed methane formations
US9429013B2 (en) Optical window assembly for an optical sensor of a downhole tool and method of using same
WO2021181145A1 (en) Laser-based wellbore monitoring tool
GB2391939A (en) Method of analysing a formation fluid from a formation surrounding a wellbore having a borehole fluid
US9057793B2 (en) Fluid analyzer with mirror and method of using same
US20170292368A1 (en) Gas Phase Detection of Downhole Fluid Sample Components
US9874655B2 (en) Fluid analyzer using absorption spectroscopy

Legal Events

Date Code Title Description
AS Assignment

Owner name: HALLIBURTON ENERGY SERVICES, INC., TEXAS

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:PELLETIER, MICHAEL T.;PEREZ, GREGORY P.;JONES, CHRISTOPHER MICHAEL;AND OTHERS;SIGNING DATES FROM 20090327 TO 20090406;REEL/FRAME:037378/0232

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: NOTICE OF ALLOWANCE MAILED -- APPLICATION RECEIVED IN OFFICE OF PUBLICATIONS

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO PAY ISSUE FEE