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:
Sep. 06, 2022

Filed:

Nov. 12, 2019
Applicant:

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

Inventors:

Brent D. Wheelock, Bloomsbury, NJ (US);

Huseyin Denli, Basking Ridge, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/20 (2019.01); G01V 99/00 (2009.01); G06N 20/10 (2019.01); G01V 1/50 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); G01V 1/50 (2013.01); G06N 3/082 (2013.01); G06N 20/10 (2019.01); G06N 20/20 (2019.01); G01V 2210/667 (2013.01);
Abstract

A method and apparatus for modeling a subsurface region, including: obtaining a training set of geologically plausible models for the subsurface region; training an autoencoder with the training set; extracting a decoder from the trained autoencoder, wherein the decoder comprises a geologic-model-generating function; using the decoder within a data-fitting objective function to replace output-space variables of the decoder with latent-space variables, wherein a dimensionality of the output-space variables is greater than a dimensionality of the latent-space variables; and performing an inversion by identifying one or more minima of the data-fitting objective function to generate a set of prospective latent-space models for the subsurface region; and using the decoder to convert each of the prospective latent-space models to a respective output-space model. A method and apparatus for making one or more hydrocarbon management decisions based on the estimated uncertainty.


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