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:
Jul. 30, 2024

Filed:

Dec. 14, 2020
Applicant:

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

Inventors:

Mehdi Aharchaou, The Woodlands, TX (US);

Anatoly Baumstein, Houston, TX (US);

Junzhe Sun, San Jose, CA (US);

Rongrong Lu, The Woodlands, TX (US);

Erik Neumann, Houston, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01V 1/28 (2006.01); E21B 47/002 (2012.01); E21B 49/00 (2006.01); G01V 1/30 (2006.01); G01V 1/34 (2006.01); G01V 1/38 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G01V 1/36 (2006.01);
U.S. Cl.
CPC ...
G01V 1/30 (2013.01); E21B 47/0025 (2020.05); E21B 49/00 (2013.01); G01V 1/282 (2013.01); G01V 1/345 (2013.01); G01V 1/3843 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); E21B 2200/20 (2020.05); G01V 1/366 (2013.01); G01V 2210/1423 (2013.01); G01V 2210/43 (2013.01); G01V 2210/614 (2013.01);
Abstract

A methodology for extending bandwidth of geophysical data is disclosed. Geophysical data, obtained via a towed streamer, may have significant noise in a certain band (such as less than 4 Hz), rendering the data in the certain band unreliable. To remedy this, geophysical data, from a band that is reliable, may be extended to the certain band, resulting in bandwidth extension. One manner of bandwidth extension comprises using machine learning to generate a machine learning model. Specifically, because bandwidth may be viewed as a sequence, machine learning configured to identify sequences, such as recurrent neural networks, may be used to generate the machine learning model. In particular, machine learning may use a training dataset acquired via ocean bottom nodes in order to generate the machine learning model. After which, the machine learning model may be used to extend the bandwidth of a test dataset acquired via a towed streamer.


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