公开(公告)号：US20190170888A1

公开(公告)日：2019-06-06

申请号：US15833203

申请日：2017-12-06

Applicant: CHEVRON U.S.A. INC.

Inventor： Adam Dean HALPERT ,  Laura L. BANDURA ,  Shuxing CHENG ,  Konstantin OSYPOV

IPC: G01V1/28 ,  G01V1/34 ,  G01V1/36

Abstract: Systems and methods for training a model that refines estimated parameter values include computer processors and non-transitory electronic storage that stores subsurface map data sets that correspond to different subsurface volumes of interest, the system configured to obtain training data including unrefined subsurface map data sets specifying estimated parameter values of a first parameter as a function of position within corresponding subsurface volumes of interest, obtain an initial seismic mapping model, generate a conditioned seismic mapping model, and store the conditioned seismic mapping model in the electronic storage.

公开(公告)号：US20200309979A1

公开(公告)日：2020-10-01

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 ,  G06N3/08 ,  G06N3/04

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：US20180106917A1

公开(公告)日：2018-04-19

申请号：US15730814

申请日：2017-10-12

Applicant: CHEVRON U.S.A. INC.

Inventor： Konstantin OSYPOV ,  David WILKINSON ,  Laura L. BANDURA ,  Adam Dean HALPERT

IPC: G01V1/30 ,  G01V1/50 ,  G01V1/00 ,  G06F15/18

CPC classification number: G01V1/301 ,  G01V1/003 ,  G01V1/50 ,  G06N20/00

Abstract: A method is described for seismic facies identification including receiving a seismic dataset representative of a subsurface volume of interest; performing a machine learning algorithm on the seismic dataset to identify seismic facies and generate a classified seismic image; and identifying geologic features based on the classified seismic image. The method may be executed by a computer system.