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. 13, 2024

Filed:

Dec. 17, 2020
Applicant:

Exxonmobil Technology and Engineering Company, Spring, TX (US);

Inventors:

Harpreet Kaur, Austin, TX (US);

Junzhe Sun, San Jose, CA (US);

Mehdi Aharchaou, The Woodlands, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 43/16 (2006.01); G01V 1/28 (2006.01); G01V 1/30 (2006.01); G01V 20/00 (2024.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
E21B 43/16 (2013.01); G01V 1/282 (2013.01); G01V 1/301 (2013.01); G01V 20/00 (2024.01); G06N 3/08 (2013.01); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05); G01V 1/303 (2013.01); G01V 2210/51 (2013.01); G01V 2210/624 (2013.01);
Abstract

A method and apparatus for generating a high-resolution seismic image, including extracting a reflectivity distribution from a geological model; utilizing the reflectivity distribution to label features of the model; generating forward-modeled data from the model; migrating the forward-modeled data to create a migrated image; and training a deep neural network with the labeled synthetic geological model and the migrated image to create a reflectivity prediction network. A method and apparatus includes: selecting a first subset of the field data; applying a low-pass filter to the first subset to generate a first filtered dataset; migrating the first filtered dataset to create a first migrated image; applying a high-pass filter to the first subset to generate a second filtered dataset; migrating the second filtered dataset to create a second migrated image; and training a deep neural network to predict a target distribution of high-frequency signal.


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