Uncertainty quantification and optimization method applied to time-continuous geothermal energy extraction

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.
Original languageEnglish (US)
Pages (from-to)102675
StatePublished - Feb 16 2023

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology
  • Renewable Energy, Sustainability and the Environment


Dive into the research topics of 'Uncertainty quantification and optimization method applied to time-continuous geothermal energy extraction'. Together they form a unique fingerprint.

Cite this