Training machine learning systems for seismic interpretation
US11320551B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2019 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Jul 9, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/64
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for seismic interpretation including machine learning (ML). A method of training a ML system for seismic interpretation includes: preparing a collection of seismic images as training data; training an interpreter ML model to learn to interpret the training data, wherein: the interpreter ML model comprises a geologic objective function, and the learning is regularized by one or more geologic priors; and training a discriminator ML model to learn the one or more geologic priors from the training data. A method of hydrocarbon management includes: training the ML system for seismic interpretation; obtaining test data comprising a second collection of seismic images; applying the trained ML system to the test data to generate output; and managing hydrocarbons based on the output. A method includes performing an inference on test data with the interpreter and discriminator ML models to generate a feature probability map representative of subsurface features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.