Methods and systems for predicting formation thermal properties
US12429472B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Nov 28, 2022 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Nov 21, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Methods and systems are provided for predicting thermal properties of a subsurface rock formation. A training dataset is derived from petrophysical properties of a plurality of formation rock samples and thermal properties of the plurality of formation rock samples. The training dataset is used to train a machine learning model that predicts label data representing the predefined set of thermal properties given input data representing the predefined set of petrophysical properties of an arbitrary formation rock sample. The machine learning model can be validated and deployed for use in predicting thermal properties of subsurface rock formations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.