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    Low frequency DAS well interference evaluation
    2.
    发明授权
    Low frequency DAS well interference evaluation 有权

    公开(公告)号：US11193367B2

    公开(公告)日：2021-12-07

    申请号：US16365173

    申请日：2019-03-26

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Ge Jin ,  Kyle R Krueger ,  Baishali Roy

    IPC: E21B47/107 ,  E21B47/06 ,  E21B47/07 ,  E21B43/26 ,  G01V1/42 ,  G01H9/00 ,  E21B47/135

    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.

    MACHINE-LEARNING BASED FRACTURE-HIT DETECTION USING LOW-FREQUENCY DAS SIGNAL
    4.
    发明申请
    MACHINE-LEARNING BASED FRACTURE-HIT DETECTION USING LOW-FREQUENCY DAS SIGNAL 审中-公开

    公开(公告)号：US20200309982A1

    公开(公告)日：2020-10-01

    申请号：US16815378

    申请日：2020-03-11

    Applicant: ConocoPhillips Company

    Inventor： Ge Jin ,  Kevin Mendoza ,  Baishali Roy ,  Darryl G. Buswell

    IPC: G01V1/50 ,  E21B47/14 ,  G06N3/08 ,  G06N20/00 ,  G06F17/18 ,  G02B6/44

    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.

    Production logging inversion based on DAS/DTS
    6.
    发明授权
    Production logging inversion based on DAS/DTS 有权

    公开(公告)号：US11021934B2

    公开(公告)日：2021-06-01

    申请号：US16401620

    申请日：2019-05-02

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Ge Jin ,  Kyle Friehauf ,  Baishali Roy

    IPC: E21B41/00 ,  E21B47/07 ,  E21B47/107 ,  G01F1/66 ,  G01K1/02 ,  E21B43/16

    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.

    Measuring downhole temperature by combining DAS/DTS data
    7.
    发明授权
    Measuring downhole temperature by combining DAS/DTS data 有权

    公开(公告)号：US10370957B2

    公开(公告)日：2019-08-06

    申请号：US15453216

    申请日：2017-03-08

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Ge Jin ,  Herbert W. Swan ,  Baishali Roy ,  Kyle R. Krueger

    IPC: G01N21/47 ,  G01N25/00 ,  E21B47/06 ,  G01K11/32 ,  G01B11/16

    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.

    Low frequency distributed acoustic sensing hydraulic fracture geometry
    8.
    发明授权
    Low frequency distributed acoustic sensing hydraulic fracture geometry 有权

    公开(公告)号：US11352878B2

    公开(公告)日：2022-06-07

    申请号：US16163115

    申请日：2018-10-17

    Applicant: ConocoPhillips Company

    Inventor： Ge Jin ,  Baishali Roy

    IPC: E21B49/00 ,  E21B43/26 ,  G01V1/42 ,  E21B47/113 ,  G01V1/22 ,  G01V1/20

    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. Low-frequency Distributed Acoustic Sensing (DAS) signal is used to constrain hydraulic fracture geometry. Events like fracture opening and closing, stress shadow creation and relaxation, ball seat and plug isolation can be clearly identified.

    Low frequency distributed acoustic sensing hydraulic fracture geometry
    10.
    发明授权
    Low frequency distributed acoustic sensing hydraulic fracture geometry 有权

    公开(公告)号：US12173603B2

    公开(公告)日：2024-12-24

    申请号：US17741197

    申请日：2022-05-10

    Applicant: CONOCOPHILLIPS COMPANY

    Inventor： Ge Jin ,  Baishali Roy

    IPC: E21B49/00 ,  E21B43/26 ,  E21B47/113 ,  G01V1/20 ,  G01V1/22 ,  G01V1/42

    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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