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:
Aug. 26, 2025

Filed:

May. 10, 2019
Applicant:

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

Inventors:

Vishakh Hegde, Menlo Park, CA (US);

Suhas Suresha, Menlo Park, CA (US);

Carlos Boneti, Saratoga, CA (US);

Sergey Doronichev, Menlo Park, CA (US);

Jose Celaya Galvan, Menlo Park, CA (US);

Anthony Lichnewsky, Gatwick, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/34 (2006.01); G01V 1/30 (2006.01); G01V 20/00 (2024.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G01V 1/302 (2013.01); G01V 1/306 (2013.01); G01V 1/345 (2013.01); G01V 20/00 (2024.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G01V 2210/66 (2013.01);
Abstract

A subsurface structure identification system includes one or more processors and a memory coupled to the one or more processors. The memory is encoded with instructions that when executed by the one or more processors cause the one or more processors to provide a convolutional neural network trained to identify a subsurface structure in an input migrated seismic volume, and to partition the input migrated seismic volume into multi-dimensional sub-volumes of seismic data. The instructions also cause the one or more processors to process each of the multi-dimensional sub-volumes of seismic data in the convolutional neural network, and identify the subsurface structure in the input migrated seismic volume based on a probability map of the input migrated seismic volume generated by the convolutional neural network.


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