公开(公告)号：US20200348433A1

公开(公告)日：2020-11-05

申请号：US16399204

申请日：2019-04-30

Applicant: Chevron U.S.A. Inc.

Inventor： Ellen Xiaoxia Xu ,  Yuanbo Lin ,  Ke Wang ,  Todd C. Dygert ,  Morgan David Sullivan ,  James P. Disiena

IPC: G01V1/30 ,  G01V1/34

Abstract: A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

公开(公告)号：US10761230B2

公开(公告)日：2020-09-01

申请号：US15725375

申请日：2017-10-05

Applicant: CHEVRON U.S.A. INC.

Inventor： Lisa Renee′ Goggin ,  Ke Wang ,  Maisha Lara Amaru

IPC: G01V1/30 ,  G01V1/32 ,  G01V1/36 ,  G01V1/34

Abstract: A method is described for seismic imaging that may include receiving digital seismic data; processing the digital seismic data to create a digital seismic image in a seismic domain; flattening the digital seismic image to generate a digital flattened image; identifying artifacts in the digital flattened image; transforming the artifacts back into the seismic domain; and reprocessing the digital seismic data based on the artifacts in the seismic domain to generate a digital image with reduced artifacts. The method may be executed by a computer system.

公开(公告)号：US20240310547A1

公开(公告)日：2024-09-19

申请号：US18591065

申请日：2024-02-29

Applicant: CHEVRON U.S.A. INC.

Inventor： Un Young Lim ,  Ke Wang ,  Reynaldo Cardona

IPC: G01V1/50 ,  E21B49/00

CPC classification number: G01V1/50 ,  E21B49/00 ,  G01V2210/6222 ,  G01V2210/66

Abstract: A method is described for seismic inversion and wavelet estimation including uncertainty quantification. The method uses bootstrapping and deep neural networks to generate an ensemble of realizations that are analyzed to quantify uncertainty. The method is executed by a computer system.

公开(公告)号：US20240210584A1

公开(公告)日：2024-06-27

申请号：US18069865

申请日：2022-12-21

Applicant: Chevron U.S.A. Inc.

Inventor： Ke Wang ,  Jinsong Chen ,  Yijie Zhou

IPC: G01V1/30 ,  G01V1/28 ,  G01V1/34 ,  G06N3/091

CPC classification number: G01V1/30 ,  G01V1/282 ,  G01V1/345 ,  G06N3/091

Abstract: A method is described for seismic inversion with uncertainty quantification including performing low frequency Markov Chain Monte Carlo (MCMC) processes on rock physics models to generate low frequency models (LFMs) of rock properties and training a deep neural network using the low frequency models and synthetic seismograms to generate a trained neural network. Given a seismic dataset, the trained neural network can generate a high frequency rock property model and then broad-band MCMC processes can be performed on the high frequency rock property model for uncertainty quantification. The method is executed by a computer system.

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.

公开(公告)号：US10571585B2

公开(公告)日：2020-02-25

申请号：US15252411

申请日：2016-08-31

Applicant: CHEVRON U.S.A. INC.

Inventor： Laura L. Bandura ,  Lisa R. Goggin ,  Adam D. Halpert ,  Ke Wang

IPC: G01V1/30

Abstract: A method is described for time-lapse seismic imaging that may include detecting moiré patterns in seismic images generated from time-lapse seismic data and identifying geologic features based on the moiré patterns. The method may be executed by a computer system.

公开(公告)号：US20190049610A1

公开(公告)日：2019-02-14

申请号：US16164578

申请日：2018-10-18

Applicant: Chevron U.S.A. Inc.

Inventor： Laura L. Bandura ,  Lisa R. Goggin, JR. ,  Adam D. Halpert ,  Ke Wang

IPC: G01V1/30

Abstract: A method is described for time-lapse seismic imaging that may include detecting moiré patterns in seismic images generated from time-lapse seismic data and identifying geologic features based on the moiré patterns. The method may be executed by a computer system.

公开(公告)号：US11105944B2

公开(公告)日：2021-08-31

申请号：US16399204

申请日：2019-04-30

Applicant: Chevron U.S.A. Inc.

Inventor： Ellen Xiaoxia Xu ,  Yuanbo Lin ,  Ke Wang ,  Todd C. Dygert ,  Morgan David Sullivan ,  James P. Disiena

IPC: G01V1/30 ,  G01V1/34

Abstract: A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.