公开(公告)号：US20190179046A1

公开(公告)日：2019-06-13

申请号：US15835656

申请日：2017-12-08

Applicant: CHEVRON U.S.A. INC.

Inventor： Julian A. THORNE ,  Andrew ROYLE ,  Michael PYRCZ ,  Sebastien B. STREBELLE

IPC: G01V1/30 ,  G01V1/37 ,  G01V1/50

Abstract: A computer implemented method for identifying reservoir facies in a subsurface region includes obtaining a set of seismic data points of both petrophysical and geophysical parameters relating to the subsurface region, identifying one or more correlated clusters of petrophysical parameters, generating, from the one or more correlated clusters of petrophysical parameters, one or more corresponding multi-dimensional clusters of seismic data points, storing, in a facies database, a multi-dimensional cluster center point for at least one multi-dimensional clusters, and recursively splitting the multi-dimensional clusters into distinct sub-clusters of seismic data points corresponding to facies types.

公开(公告)号：US20210026028A1

公开(公告)日：2021-01-28

申请号：US16522445

申请日：2019-07-25

Applicant: Chevron U.S.A. Inc.

Inventor： Julian A. THORNE

IPC: G01V1/30 ,  G01V3/34 ,  G01V1/34 ,  G01V99/00 ,  G06F17/50 ,  G06F17/15

Abstract: A method is described for generating a reservoir property model based on the quality of a seismic inversion product. The method may include receiving a seismic inversion product volume, a seismic attribute volume, and well data from wells drilled in a subsurface volume of interest; identifying collocated cells in the seismic volumes which correspond to the well data; creating attribute vectors from the seismic volumes in each of the collocated cells and a range of neighboring cells; calculating a seismic inversion error magnitude property at the collocated cells; training a data analytics method to predict the observed seismic inversion error magnitude property; verifying that the data analytics method accurately predicts the seismic inversion error magnitude using cross-validation; generating an inversion quality volume; and generating the reservoir property model based on the inversion quality volume. The method may be executed by a computer system.