Runtime parameter selection in simulations
US11775858B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 13, 2016 |
| Grant date | Oct 3, 2023 |
| Priority date | — |
| Expiry date | Aug 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2113/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for performing a field operation of a field. The method includes obtaining historical parameter values of a runtime parameter and historical core datasets, where the historical parameter values and the historical core datasets are used for a first simulation of the field, and where each historical parameter value results in a simulation convergence during the first simulation, generating a machine learning model based at least on the historical core datasets and the historical parameter values, obtaining, during a second simulation of the field, a current core dataset, generating, using the machine learning model and based on the current core dataset, a predicted parameter value of the runtime parameter for achieving the simulation convergence during the second simulation, and completing, using at least the predicted parameter value, the second simulation to generate a modeling result of the field.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.