公开(公告)号：US10353095B2

公开(公告)日：2019-07-16

申请号：US15191670

申请日：2016-06-24

Applicant: CHEVRON U.S.A. INC.

Inventor： Yonghe J. Sun ,  Weihong Fei ,  Craig A. Barker

IPC: G01V1/30 ,  G01V1/36

Abstract: A method is described for seismic imaging of complex subsurface volumes using prismatic seismic energy. The method receives a seismic dataset and an earth model. The earth model is perturbed such that prismatic reflections will generate perturbed seismic amplitudes in a target area and seismic imaging is performed using the perturbed model. A second seismic image is generated using a second earth model; the second earth model may be the original earth model or a second perturbed model wherein the perturbation generates different seismic amplitudes in the target area. The two seismic images are differenced to generate a prismatic seismic image that can be used to identify geologic features that are poorly illuminated in conventional imaging. The method may be executed by a computer system.

公开(公告)号：US12228028B2

公开(公告)日：2025-02-18

申请号：US17394808

申请日：2021-08-05

Applicant: CHEVRON U.S.A. INC.

Inventor： Weihong Fei ,  Chaoshun Hu ,  Paige Rene Given ,  Gilles Hennenfent ,  Cory Hoelting

IPC: G01V1/28 ,  E21B47/04 ,  G01V1/34 ,  G06N20/00

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain an initial depth uncertainty model; obtain training depth uncertainty parameter values from the non-transient storage medium; obtain corresponding training depth uncertainty values; generate a trained depth uncertainty model by training the initial depth uncertainty model using the training depth uncertainty parameter values and the corresponding training depth uncertainty values; and store the trained depth uncertainty model.

公开(公告)号：US20230042577A1

公开(公告)日：2023-02-09

申请号：US17394808

申请日：2021-08-05

Applicant: CHEVRON U.S.A. INC.

Inventor： Weihong Fei ,  Chaoshun Hu ,  Paige Rene Given ,  Gilles Hennenfent ,  Cory Hoelting

IPC: E21B47/04 ,  G01V1/34 ,  G06N20/00

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain an initial depth uncertainty model; obtain training depth uncertainty parameter values from the non-transient storage medium; obtain corresponding training depth uncertainty values; generate a trained depth uncertainty model by training the initial depth uncertainty model using the training depth uncertainty parameter values and the corresponding training depth uncertainty values; and store the trained depth uncertainty model.