公开(公告)号：US20180052249A1

公开(公告)日：2018-02-22

申请号：US15242688

申请日：2016-08-22

Applicant: CHEVRON U.S.A. INC.

Inventor： Mingya CHEN ,  Damian O'GRADY ,  Miguel O. ASCANIO REGALADO ,  Dileep K. TIWARY ,  Reynaldo CARDONA ,  Aygul KOSTINOVSKY

IPC: G01V1/40 ,  G01V1/28

CPC classification number: G01V1/40 ,  G01V1/282

Abstract: A method is described for generating an improved digital image for a subsurface volume of interest that allows analysis of the depositional settings of rock facies in a subsurface volume of interest. The method may include identifying at least three different rock facies in the well log data; estimating a compaction trend for each of the at least three rock facies identified in the well log data to create at least three compaction trends; transforming the velocity model to produce a trend-match volume using the at least three compaction trends; and superimposing the trend-match volume and the seismic image to generate a digital image containing information regarding both structural features and stratigraphic features of the subsurface volume of interest. The method may be executed by a computer system.

公开(公告)号：US20210018642A1

公开(公告)日：2021-01-21

申请号：US16928303

申请日：2020-07-14

Applicant: Chevron U.S.A. Inc.

Inventor： Ashley Elizabeth SHULER ,  Prasenjit ROY ,  Reynaldo CARDONA

IPC: G01V1/50 ,  E21B49/00

Abstract: A method is described for calibrating seismic data based on statistical properties of shale derived from either well logs in a volume of interest or a global database of statistical properties of shale. The method may be executed by a computer system.

公开(公告)号：US20200041677A1

公开(公告)日：2020-02-06

申请号：US16529870

申请日：2019-08-02

Applicant: Chevron U.S.A. Inc.

Inventor： Prasenjit ROY ,  Anandaroop RAY ,  Reynaldo CARDONA ,  David C. BARTEL ,  Jacob G. TESFAYE

IPC: G01V1/30 ,  G01V1/34

Abstract: A method is described for seismic amplitude analysis including receiving a seismic dataset representative of a subsurface volume of interest wherein the seismic dataset includes an angle or angle stack dimension; select a plurality of sets of sub-cubes in the seismic dataset wherein each set of sub-cubes includes a plurality of the angles or the angle stacks; compute standard score statistics for each of the plurality of sub-cubes; identify amplitude variation with angle (AVA) anomalies based on the standard score statistics for each of the set of sub-cubes; classify the AVA anomalies to generate classified AVA anomalies; and displaying, on a user interface, the classified AVA anomalies as a graphical display. The method is executed by a computer system.