Proxy modeling workflow and program for reactive transport modeling
US12182715B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 5, 2020 |
| Grant date | Dec 31, 2024 |
| Priority date | — |
| Expiry date | Mar 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/105
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods include a method for training machine learning-based proxy models as surrogates for process-based reactive transport modeling (RTM). Training sample data is generated. Training sample cases are executed using the training sample data. A set of parameter-specific proxy models represented by a neural network is trained. Each parameter-specific proxy model corresponds to a specific RTM parameter from a set of RTM parameters. Blind tests are performed using the set of parameter-specific proxy models. Each blind test tests a specific one of the parameter-specific proxy models. Predictions are generated using the set of parameter-specific proxy models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.