Machine learning proxy model for parameter tuning in oilfield production operations
US12153183B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | May 27, 2022 |
| Grant date | Nov 26, 2024 |
| Priority date | — |
| Expiry date | May 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/04
- WIPO fieldCivil engineering
- WIPO sectorOther fields
Abstract
A method includes training a proxy model to predict output from a reservoir model of a subterranean volume, receiving data representing an oilfield operation performed at least partially in the subterranean volume, predicting one or more performance indicators for the oilfield operation using the proxy model, and updating the reservoir model based at least in part on the one or more performance indicators predicted in the proxy model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.