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公开(公告)号：US11768307B2
公开(公告)日：2023-09-26
申请号：US16815378
申请日：2020-03-11
Applicant: ConocoPhillips Company
Inventor： Ge Jin , Kevin Mendoza , Baishali Roy , Darryl G. Buswell
CPC classification number: G01V1/50 , E21B47/14 , G02B6/4401 , G06F17/18 , G06N3/084 , G06N20/00 , G01V2210/646
Abstract: Various aspects described herein relate to a machine learning based detecting of fracture hits in offset monitoring wells when designing hydraulic fracturing processes for a particular well. In one example, a computer-implemented method includes receiving a set of features for a first well proximate to a second well, the second well undergoing a hydraulic fracturing process for extraction of natural resources from underground formations; inputting the set of features into a trained neural network; and providing, as output of the trained neural network, a probability of a fracture hit at a location associated with the set of features in the first well during a given completion stage of the hydraulic fracturing process in the second well.
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公开(公告)号：US11686194B2
公开(公告)日：2023-06-27
申请号：US17540305
申请日：2021-12-02
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Ge Jin , Kyle R Krueger , Baishali Roy
IPC: E21B47/06 , E21B43/26 , E21B47/07 , E21B47/107 , E21B47/10 , G01V1/42 , G01H9/00 , E21B47/135
CPC classification number: E21B47/07 , E21B43/26 , E21B47/06 , E21B47/10 , E21B47/107 , E21B47/135 , G01H9/004 , G01V1/42 , G01V2210/646
Abstract: Methods and systems for 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：US20230160726A1
公开(公告)日：2023-05-25
申请号：US17983699
申请日：2022-11-09
Applicant: ConocoPhillips Company
Inventor： Upendra K. Tiwari , Baishali Roy , Nan Ma , Ge Jin
CPC classification number: G01D5/35361 , E21B47/07 , G01F1/661
Abstract: A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing (“DAS”) fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.
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Patent Agency Ranking
公开(公告)号：US11649700B2
公开(公告)日：2023-05-16
申请号：US17236706
申请日：2021-04-21
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Ge Jin , Kyle Friehauf , Baishali Roy
CPC classification number: E21B43/00 , E21B36/005 , E21B41/00 , E21B43/16 , E21B47/07 , E21B47/107 , G01F1/661 , G01K1/026
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：US20230014753A1
公开(公告)日：2023-01-19
申请号：US17867483
申请日：2022-07-18
Applicant: ConocoPhillips Company
Inventor： Baishali Roy , Kyle Friehauf , Kevin T. Raterman , Herbert W. Swan , Jesse J. Constantine , Ge Jin
IPC: G01F1/684 , G01N33/28 , G01N29/024 , E21B21/08
Abstract: A system for measuring fluid flow in a wellbore is provided. A probe includes at least a heater. A fiber optic cable is connected to the probe. The system is programmed to perform operations including: changing an output of the heater to thereby change a temperature of drilling fluid moving over a fiber optic cable; measuring a strain on the fiber optic cable caused by changing the temperature of the drilling fluid; preliminarily determining a velocity of the drilling fluid from the measured strain; measuring at least a second parameter of the drilling fluid; adjusting the preliminary determined velocity based on the measured at least a second parameter to yield an adjusted velocity; and determining a flow rate of the drilling fluid based on the adjusted velocity.
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公开(公告)号：US11255997B2
公开(公告)日：2022-02-22
申请号：US15972882
申请日：2018-05-07
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 , E21B41/00 , E21B49/02 , G01V1/42 , G01V1/22 , E21B47/002 , E21B43/267 , E21B47/06 , E21B47/07
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：US10458228B2
公开(公告)日：2019-10-29
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
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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公开(公告)号：US10095828B2
公开(公告)日：2018-10-09
申请号：US15453730
申请日：2017-03-08
Applicant: CONOCOPHILLIPS COMPANY
Inventor： Herbert W. Swan , Ge Jin , Kyle R. Krueger , Baishali Roy
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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