MACHINE LEARNING-BASED TWO-STEP IMPEDANCE INVERSION METHOD AND APPARATUS USING SEISMIC DATA
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United States of America Patent
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Jun 13, 2024
app pub date -
Dec 7, 2023
filing date -
Dec 7, 2022
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Abstract
Techniques for a machine learning-based two-step impedance inversion method using seismic data are disclosed. In some embodiments of the disclosed technology, an impedance inversion method includes generating a domain adaptation model configured to predict, based on source data associated with a source area that includes a well, a P-impedance value of a target area that does not include a well, and generating, using the P-impedance value generated by the domain adaptation model, a P-impedance low frequency model configured to predict a final P-impedance value of the target area by performing an inversion. In this way, it is possible to accurately predict P-impedance value of an area where a well does not exist.
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