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公开(公告)号:US20170342814A1
公开(公告)日:2017-11-30
申请号:US15453584
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Kyle R. KRUEGER , Ge JIN , Charles C. MOSHER , Herbert W. SWAN , Baishali ROY
CPC classification number: E21B43/17 , E21B43/26 , E21B47/102 , E21B47/123 , G01H9/004 , G01V1/226 , G01V1/30 , G01V1/308 , G01V1/42 , G01V1/48 , G01V2210/1429 , G01V2210/624 , G06T17/05
Abstract: A workflow using techniques for improving signal-to-noise ratio and decreasing interferences for Low-Frequency Distributed Acoustic Sensing is described.
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公开(公告)号:US20220137247A1
公开(公告)日:2022-05-05
申请号:US17576025
申请日:2022-01-14
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Kevin T. RATERMAN , Helen E. FARRELL , Kyle FRIEHAUF , Raymond R. REID, Jr. , Ge JIN , Baishali ROY , Dana M. JURICK , Seth BUSETTI
IPC: G01V1/30 , G01V1/28 , G01V9/00 , E21B49/00 , E21B43/26 , E21B49/02 , G01V1/42 , G01V1/22 , E21B47/002
Abstract: A data acquisition program, which includes core, image log, microseismic, DAS, DTS, and pressure data, is described. This program can be used in conjunction with a variety of techniques to accurately monitor and conduct well stimulation.
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公开(公告)号:US20190120047A1
公开(公告)日:2019-04-25
申请号:US16163115
申请日:2018-10-17
Applicant: ConocoPhillips Company
Inventor: Ge JIN , Baishali ROY
Abstract: Monitoring and diagnosing completion during hydraulic fracturing operations provides insights into the fracture geometry, inter-well frac hits and connectivity. Conventional monitoring methods (microseismic, borehole gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of DAS as a fracture monitoring tool is growing, however most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of Distributed Acoustic Sensing (DAS) signal to constrain hydraulic fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data records formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified. In vertical wells, DAS response agrees well with co-located pressure and temperature gauges, and illuminates the vertical extent of hydraulic fractures. DAS data in the low-frequency band is a powerful attribute to monitor small strain and temperature perturbation in or near the monitor wells. With different fibered monitor well design, the far-field fracture length, height, width, and density can be accurately measured using cross-well DAS observations.
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公开(公告)号:US20190301276A1
公开(公告)日:2019-10-03
申请号:US16365173
申请日:2019-03-26
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Kyle R KRUEGER , Baishali ROY
Abstract: A method of assessing cross-well interference and/or optimizing hydrocarbon production from a reservoir by obtaining low frequency DAS and DTS data and pressure data from a monitor well, when both the monitor and production well are shut-in, and then variably opening the production well for production, and detecting the temperature and pressure fluctuations that indication cross-well interference, and localizing the interference along the well length based on the low frequency DAS data. This information can be used to optimize well placement, completion plans, fracturing plans, and ultimately optimize production from a given reservoir
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公开(公告)号:US20170260854A1
公开(公告)日:2017-09-14
申请号:US15453650
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Charles C. MOSHER , Frank P. FILICE , Kyle R. KRUEGER , Ali TURA , Baishali ROY , Dana M. JURICK
CPC classification number: E21B47/101 , E21B33/12 , E21B41/0092 , E21B43/16 , E21B43/166 , E21B43/20 , E21B43/2406 , E21B43/26 , E21B44/00 , E21B47/00 , E21B47/02208 , E21B47/02216 , E21B47/065 , E21B47/1015 , E21B47/123 , E21B49/00 , G01B11/161 , G01F1/666 , G01H9/004 , G01K11/32 , G01V1/226 , G01V1/40
Abstract: A method of monitoring hydraulic fracturing using DAS sensors in a treatment well and/or observation well is described. The raw data is transformed using a low pass filter (≦0.05 Hz) and down-sampled to show the signal as the stimulation progresses. The resulting data can be used to optimize the hydraulic fracturing or improve reservoir models for other reservoirs.
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公开(公告)号:US20230287766A1
公开(公告)日:2023-09-14
申请号:US18297326
申请日:2023-04-07
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Kyle FRIEHAUF , Baishali ROY
CPC classification number: E21B43/00 , G01F1/661 , G01K1/026 , E21B47/07 , E21B47/107 , E21B43/16 , E21B41/00 , E21B36/005
Abstract: A method of optimizing production of a hydrocarbon-containing reservoir by measuring low-frequency Distributed Acoustic Sensing (LFDAS) data in the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow and simultaneously measuring Distributed Temperature Sensing (DTS) data from the well during a time period of constant flow and during a time period of no flow and during a time period of perturbation of flow. An initial model of reservoir flow is provided using the LFDAS and DTS data; the LFDAS and DTS data inverted using Markov chain Monte Carlo method to provide an optimized reservoir model, and that optimized profile utilized to manage hydrocarbon production from the well and other asset wells.
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公开(公告)号:US20230003119A1
公开(公告)日:2023-01-05
申请号:US17741197
申请日:2022-05-10
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Baishali ROY
IPC: E21B49/00 , E21B43/26 , G01V1/42 , E21B47/113
Abstract: Monitoring and diagnosing completion during hydraulic fracturing operations provides insights into the fracture geometry, inter-well frac hits and connectivity. Conventional monitoring methods (microseismic, borehole gauges, tracers, etc.) can provide a range of information about the stimulated rock volume but may often be limited in detail or clouded by uncertainty. Utilization of DAS as a fracture monitoring tool is growing, however most of the applications have been limited to acoustic frequency bands of the DAS recorded signal. In this paper, we demonstrate some examples of using the low-frequency band of Distributed Acoustic Sensing (DAS) signal to constrain hydraulic fracture geometry. DAS data were acquired in both offset horizontal and vertical monitor wells. In horizontal wells, DAS data records formation strain perturbation due to fracture propagation. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified. In vertical wells, DAS response agrees well with co-located pressure and temperature gauges, and illuminates the vertical extent of hydraulic fractures. DAS data in the low-frequency band is a powerful attribute to monitor small strain and temperature perturbation in or near the monitor wells. With different fibered monitor well design, the far-field fracture length, height, width, and density can be accurately measured using cross-well DAS observations.
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公开(公告)号:US20180045040A1
公开(公告)日:2018-02-15
申请号:US15453730
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Herbert W. SWAN , Ge JIN , Kyle R. KRUEGER , Baishali ROY
CPC classification number: G06F19/00 , E21B47/02 , E21B47/102 , G01H9/004
Abstract: A system and method for monitoring oil flow rates along a producing oil or gas well using a Distributed Acoustic Sensing fiber is described. This system uses the low-frequency component of the acoustic signal as a measurement of temperature variations within the well. The relative flow contributions can then be inferred from these temperature fluctuations.
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公开(公告)号:US20170260846A1
公开(公告)日:2017-09-14
申请号:US15453216
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Herbert W. SWAN , Baishali ROY , Kyle R. KRUEGER
CPC classification number: E21B47/065 , E21B47/101 , E21B47/102 , G01B11/161 , G01H9/004 , G01K11/32
Abstract: This disclosure describes a method of combining DAS and DTS data to accurately estimate borehole temperature. The described method takes advantage of the thermal sensitivity of DAS signal in the low-frequency band, and combines with the absolute temperature measurement from DTS, to produce a distributed temperature estimation that is up to 10000 more accurate than the current commercial solution. The DAS and DTS data should be record simultaneously at the same well. The DAS data are first low-pass filtered and then converted into temperature variation measurement. Then an accurate temperature estimation is obtained by fitting both DTS and DAS data.
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公开(公告)号:US20170260842A1
公开(公告)日:2017-09-14
申请号:US15453434
申请日:2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor: Ge JIN , Charles C. MOSHER , Frank P. FILICE , Kyle R. KRUEGER , Baishali ROY , Ali TURA , Dana M. JURICK
CPC classification number: E21B47/065 , E21B47/02208 , E21B47/02216 , E21B47/101 , E21B47/123 , G01B11/161 , G01H9/004 , G01K11/32 , G01V1/226 , G01V1/40
Abstract: The invention relates to DAS observation has been proven to be useful for monitoring hydraulic fracturing operations. While published literature has shown focus on the high-frequency components (>1 Hz) of the data, this invention discloses that much of the usable information may reside in the very low frequency band (0-50 milliHz). Due to the large volume of a DAS dataset, an efficient workflow has been developed to process the data by utilizing the parallel computing and the data storage. The processing approach enhances the signal while decreases the data size by 10000 times, thereby enabling easier consumption by other multi-disciplinary groups for further analysis and interpretation. The polarity changes as seen from the high signal to noise ratio (SNR) low frequency DAS images are currently being utilized for interpretation of completions efficiency monitoring in hydraulically stimulated wells.
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