Patent · US Active

System and method for prediction of reservoir parameters with uncertainty quantification

US12422581B2 · kind B2 · utility

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1References
12Claims
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Key dates

Filing dateDec 21, 2022
Grant dateSep 23, 2025
Priority date—
Expiry dateAug 19, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N3/091
  • WIPO fieldMeasurement
  • WIPO sectorInstruments

Abstract

A method is described for seismic inversion with uncertainty quantification including performing low frequency Markov Chain Monte Carlo (MCMC) processes on rock physics models to generate low frequency models (LFMs) of rock properties and training a deep neural network using the low frequency models and synthetic seismograms to generate a trained neural network. Given a seismic dataset, the trained neural network can generate a high frequency rock property model and then broad-band MCMC processes can be performed on the high frequency rock property model for uncertainty quantification. The method is executed by a computer system.

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