The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 06, 2022

Filed:

Nov. 15, 2019
Applicant:

Exxonmobil Upstream Research Company, Spring, TX (US);

Inventors:

Huseyin Denli, Basking Ridge, NJ (US);

Cody J. MacDonald, Houston, TX (US);

Victoria M. Som De Cerff, Jersey City, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 99/00 (2009.01); G06N 20/20 (2019.01); G01V 1/50 (2006.01); G06F 17/18 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); G01V 1/50 (2013.01); G06F 17/18 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 20/20 (2019.01); G01V 2210/6652 (2013.01);
Abstract

A method for generating one or more reservoir models using machine learning is provided. Generating reservoir models is typically a time-intensive idiosyncratic process. However, machine learning may be used to generate one or more reservoir models that characterize the subsurface. The machine learning may use geological data, geological concepts, reservoir stratigraphic configurations, and one or more input geological models in order to generate the one or more reservoir models. As one example, a generative adversarial network (GAN) may be used as the machine learning methodology. The GAN includes two neural networks, including a generative network (which generates candidate reservoir models) and a discriminative network (which evaluates the candidate reservoir models), contest with each other in order to generate the reservoir models.


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