Method and system for faster seismic imaging using machine learning

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United States of America Patent

PATENT NO 12032111
APP PUB NO 20220283329A1
SERIAL NO

17194106

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Abstract

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A method may include obtaining seismic data regarding a geological region of interest. The seismic data may include various pre-processed gathers. The method may further include obtaining a machine-learning model that is pre-trained to predict migrated seismic data. The method may further include selecting various training gathers based on a portion of the pre-processed gathers, a migration function, and a velocity model. The method may further include generating a trained model using the training gathers, the machine-learning model, and a machine-learning algorithm. The method may further include generating a seismic image of the geological region of interest using the trained model and a remaining portion of the seismic data.

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Patent Owner(s)

Patent OwnerAddress
SAUDI ARABIAN OIL COMPANYDHAHRAN 31311

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  • 2021 Application Filing Year
  • G06N Class
  • 16935 Applications Filed
  • 6768 Patents Issued To-Date
  • 39.97 % Issued To-Date
Click to zoom InYear of Issuance% of Matters IssuedCumulative IssuancesYearly Issuances202120222023202420250255075100

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Borselen, Roald Van Delft, NL 6 4
Hegge, Rob Delft, NL 2 5
Zwartjes, Paul M Delft, NL 4 4

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Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges11654401 - 10050100150200250300350400450500550600650700750800850900950100010501100115012001250

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