Uncertainties in static and dynamic subsurface parameters are involved in geothermal field modeling. The quantification of such uncertainties is important to guide field-development alternatives and decision-making. This work presents a novel method for estimating thermal recovery and produced-enthalpy rates, combined with uncertainty quantification and optimization. We use time-continuous, multi-objective uncertainty quantification for geothermal recovery by water re-injection. The uncertainty ranges were determined using a database of 135 geothermal fields. Thermal recovery and produced-enthalpy rates are then evaluated as functions of dimensionless uncertainty parameters. Using the proposed method, a set of 25 geothermal fields are analyzed to determine optimal well spacing. This method quantifies time-continuous uncertainty and global sensitivity for geothermal field modeling undergoing re-injection when detailed subsurface data are not available.
Bibliographical noteKAUST Repository Item: Exported on 2023-02-21
Acknowledgements: We would like to thank CMG Ltd. for providing the STARS academic license, KAUST for the support, and UQLab for the software’s license.
ASJC Scopus subject areas
- Geotechnical Engineering and Engineering Geology
- Renewable Energy, Sustainability and the Environment