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. 19, 2023

Filed:

Jan. 16, 2020
Applicant:

Landmark Graphics Corporation, Houston, TX (US);

Inventors:

Fan Jiang, Sugar Land, TX (US);

Phil Norlund, Spring, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01V 99/00 (2009.01); G01V 1/28 (2006.01); G01V 1/00 (2006.01); G06F 17/18 (2006.01); G06N 3/08 (2023.01); G06F 18/24 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G01V 99/005 (2013.01); G01V 1/008 (2013.01); G01V 1/288 (2013.01); G06F 17/18 (2013.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
Abstract

This disclosure presents a fault prediction system using a deep learning neural network, such as a convolutional neural network. The fault prediction system utilizes as input seismic data, and then derives various seismic attributes from the seismic data. In various aspects, the seismic attributes can be normalized and have importance coefficients determined. A sub-set of seismic attributes can be selected to reduce computing resources and processing time. The deep learning neural network can utilize the seismic data and seismic attributes to determine parameterized results representing fault probabilities. The fault prediction system can utilize the fault probabilities to determine fault predictions which can be represented as a predicted new seismic data, such as using a three-dimensional image.


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