公开(公告)号：US20210174583A1

公开(公告)日：2021-06-10

申请号：US16706602

申请日：2019-12-06

Applicant: Chevron U.S.A. Inc.

Inventor： Lewis Li ,  Tao Sun ,  Sebastien B. Strebelle

IPC: G06T17/20

Abstract: Data in physical space may be converted to layer space before performing modeling to generate one or more subsurface representations. Computational stratigraphy model representations that define subsurface configurations as a function of depth in the physical space may be converted to the layer space so that the subsurface configurations are defined as a function of layers. Conditioning information that defines conditioning characteristics as the function of depth in the physical space may be converted to the layer space so that the conditioning characteristics are defined as the function of layers. Modeling may be performed in the layer space to generate subsurface representations within layer space, and the subsurface representations may be converted into the physical space.

公开(公告)号：US11010969B1

公开(公告)日：2021-05-18

申请号：US16706602

申请日：2019-12-06

Applicant: Chevron U.S.A. Inc.

Inventor： Lewis Li ,  Tao Sun ,  Sebastien B. Strebelle

IPC: G06T15/00 ,  G06T17/20

Abstract: Data in physical space may be converted to layer space before performing modeling to generate one or more subsurface representations. Computational stratigraphy model representations that define subsurface configurations as a function of depth in the physical space may be converted to the layer space so that the subsurface configurations are defined as a function of layers. Conditioning information that defines conditioning characteristics as the function of depth in the physical space may be converted to the layer space so that the conditioning characteristics are defined as the function of layers. Modeling may be performed in the layer space to generate subsurface representations within layer space, and the subsurface representations may be converted into the physical space.

公开(公告)号：US20200380390A1

公开(公告)日：2020-12-03

申请号：US16706596

申请日：2019-12-06

Applicant: Chevron U.S.A. Inc.

Inventor： Tao Sun ,  Sebastien B. Strebelle ,  Ashley D. Harris ,  Maisha Lara Amaru ,  Lewis Li

IPC: G06N5/04 ,  G06N20/00

Abstract: A computational stratigraphy model may be run for M mini-steps to simulate changes in a subsurface representation across M mini-steps (from 0-th subsurface representation to M-th subsurface representation), with a mini-step corresponding to a mini-time duration. The subsurface representation after individual steps may be characterized by a set of computational stratigraphy model variables. Some or all of the computational stratigraphy model variables from running of the computational stratigraphy model may be provided as input to a machine learning model. The machine learning model may predict changes to the subsurface representation over a step corresponding to a time duration longer than the mini-time duration and output a predicted subsurface representation. The subsurface representation may be updated based on the predicted subsurface representation outputted by the machine learning model. Running of the computational stratigraphy model and usage of the machine learning model may be iterated until the end of the simulation.