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    SYSTEM AND METHOD FOR PORO-ELASTIC MODELING AND MICROSEISMIC DEPLETION DELINEATION
    3.
    发明公开
    SYSTEM AND METHOD FOR PORO-ELASTIC MODELING AND MICROSEISMIC DEPLETION DELINEATION 审中-公开

    公开(公告)号：US20230341576A1

    公开(公告)日：2023-10-26

    申请号：US18159536

    申请日：2023-01-25

    Applicant: Chevron U.S.A. Inc. ,  CHEVRON CANADA LIMITED

    Inventor： Andrey H. Shabelansky ,  Kurt T. Nihei ,  Dimitri Bevc ,  Gian Luigi Fradelizio ,  Sinead M. Tracey

    IPC: G01V1/28 ,  G01V1/18 ,  G01V1/34

    CPC classification number: G01V1/288 ,  G01V1/282 ,  G01V1/189 ,  G01V1/345

    Abstract: A method is described for monitoring a stimulated reservoir volume (SRV) including receiving simulation parameters, performing 3D fully coupled quasi-static poro-elastic finite difference modeling using the simulation parameters, wherein the 3D fully coupled quasi-static poro-elastic finite difference modeling is based on a rescaling of solid rock and fluid flow density parameters and generates simulated temporal quasi-static stresses, and pore pressure. In addition, simulated stresses may be used for performing calculation of the 3D rotation of the simulated stresses to principal directions; performing calculation of the temporal 3D Mohr-Coulomb (MC) failure criteria from the calculated principal stresses and the simulated pore pressure for all or selected time steps; and displaying the computed temporal MC failure criteria results on a graphical display. The method may also be used in time-lapse monitoring of the reservoir for microseismic depletion delineation.

    SYSTEM AND METHOD FOR STOCHASTIC FULL WAVEFORM INVERSION
    5.
    发明申请
    SYSTEM AND METHOD FOR STOCHASTIC FULL WAVEFORM INVERSION 有权

    公开(公告)号：US20230099919A1

    公开(公告)日：2023-03-30

    申请号：US17279375

    申请日：2021-03-15

    Applicant: Chevron U.S.A. Inc.

    Inventor： Jinsong Chen ,  Uwe K. Albertin ,  Kurt T. Nihei ,  Sam T. Kaplan ,  Gary Michael Hoversten ,  Lin Zhang ,  Dimitri Bevc

    IPC: G01V1/28 ,  G01V1/34 ,  G01V1/30

    Abstract: A method is described for generating a subsurface model using stochastic full waveform inversion by receiving a seismic dataset representative of a subsurface volume of interest; performing stochastic full waveform inversion of the seismic dataset to generate a long wavelength subsurface model; and performing full waveform inversion of the seismic dataset using the long wavelength subsurface model as a starting model to generate an improved subsurface model. The method may further include performing seismic imaging of the seismic dataset using the improved subsurface model to generate a seismic image and identifying geologic features based on the seismic image. The method may be executed by a computer system.

    System and method for property estimation from seismic data
    6.
    发明授权
    System and method for property estimation from seismic data 有权

    公开(公告)号：US11409013B2

    公开(公告)日：2022-08-09

    申请号：US16816041

    申请日：2020-03-11

    Applicant: Chevron U.S.A. Inc.

    Inventor： Ke Wang ,  Laura L. Bandura ,  Dimitri Bevc ,  James P. Disiena ,  Adam Dean Halpert ,  Bruce A. Power ,  Ellen Xiaoxia Xu

    IPC: G01V1/30 ,  G06N3/04 ,  G06N3/08

    Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

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