Determination of hydrocarbon production rates for an unconventional hydrocarbon reservoir
US11719856B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 21, 2020 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Sep 8, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01V2210/663
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods for predicting hydrocarbon production rates for a hydrocarbon reservoir include receiving data from a hydrocarbon reservoir. The data includes reservoir characterization data, well log data, and hydraulic fracturing data. A physics-constrained machine learning model predicts a hydrocarbon production rate for the hydrocarbon reservoir as a function of time. The physics-constrained machine learning model includes an artificial neural network and a hydrocarbon fluid flow model. Predicting the hydrocarbon production rate includes generating, by the artificial neural network, multiple parameters of the hydrocarbon fluid flow model based on the data from the hydrocarbon reservoir. The hydrocarbon fluid flow model provides the predicted hydrocarbon production rate as a function of time based on the parameters. A display device of the computer system presents the predicted hydrocarbon production rate for the hydrocarbon reservoir as a function of time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.