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. 14, 2021

Filed:

Aug. 09, 2018
Applicant:

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

Inventors:

Wei D. Liu, Schenectady, NY (US);

Diego A. Hernandez, Tomball, TX (US);

Niranjan A. Subrahmanya, Mountain View, CA (US);

D. Braden Fitz-Gerald, Cheyenne, WY (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01V 1/34 (2006.01); G01V 1/28 (2006.01); G01V 1/30 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G01V 1/345 (2013.01); G01V 1/28 (2013.01); G01V 1/30 (2013.01); G01V 1/302 (2013.01); G06K 9/6256 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G01V 2210/64 (2013.01); G01V 2210/642 (2013.01);
Abstract

A method to automatically interpret a subsurface feature within geophysical data, the method including: storing, in a computer memory, geophysical data obtained from a survey of a subsurface region; and extracting, with a computer, a feature probability volume by processing the geophysical data with one or more fully convolutional neural networks, which are trained to relate the geophysical data to at least one subsurface feature, wherein the extracting includes fusing together outputs of the one or more fully convolutional neural networks.


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