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:
Oct. 11, 2022

Filed:

Aug. 03, 2017
Applicant:

Schlumberger Technology Corporation, Sugar Land, TX (US);

Inventors:

Nader Salman, Arlington, MA (US);

Pål Kjetil Kvamme, Randaberg, NO;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/30 (2006.01); G01V 1/48 (2006.01); G01V 1/52 (2006.01); G01V 1/28 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G01V 1/30 (2013.01); G01V 1/28 (2013.01); G01V 1/302 (2013.01); G01V 1/48 (2013.01); G01V 1/52 (2013.01); G06N 3/0454 (2013.01); G01V 2210/61 (2013.01); G01V 2210/642 (2013.01); G06T 2207/20081 (2013.01);
Abstract

A method for detecting an unknown fault in a target seismic volume. The method includes generating a number of patches from a training seismic volume that is separate from the target seismic volume, where a patch includes a set of training areas, generating a label for assigning to the patch, where the label represents a subset, of the set of training areas, intersected by an known fault specified by a user in the training seismic volume, training, during a training phase and based at least on the label and the training seismic volume, a machine learning model, and generating, by applying the machine learning model to the target seismic volume during a prediction phase subsequent to the training phase, a result to identify the unknown fault in the target seismic volume.


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