Invention Publication
- Patent Title: METHOD FOR PREDICTING A SEISMIC MODEL
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Application No.: US17654565Application Date: 2022-03-11
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Publication No.: US20230288592A1Publication Date: 2023-09-14
- Inventor: Daniele Colombo , Diego Rovetta , Weichang Li , Ersan Turkoglu
- Applicant: SAUDI ARABIAN OIL COMPANY
- Applicant Address: SA Dhahran
- Assignee: SAUDI ARABIAN OIL COMPANY
- Current Assignee: SAUDI ARABIAN OIL COMPANY
- Current Assignee Address: SA Dhahran
- Main IPC: G01V1/30
- IPC: G01V1/30 ; G01V99/00 ; E21B44/00 ; E21B49/00

Abstract:
A system and methods for determining a refined seismic model of a subterranean region are disclosed. The method includes obtaining an observed seismic dataset and a current seismic model for the subterranean region and training a machine learning (ML) network using seismic training models and corresponding seismic training datasets and predicting, using the trained ML network, a predicted seismic model from the observed seismic dataset. The method further includes determining a simulated seismic dataset from the current seismic model and a seismic wavelet, a data penalty function based on a difference between the observed and the simulated seismic datasets and a model penalty function from the difference between the current the predicted seismic models. The method still further includes determining the refined seismic model based on an extremum of a composite penalty function based on a weighted sum of the data penalty function and the model penalty function.
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