TY - GEN
T1 - Evaluation and Optimization of Well Completion Options for the Utah FORGE Site
AU - Munday, Lynn
AU - Dhulipala, Somayajulu
AU - Podgorney, Robert
AU - Finnila, Aleta
N1 - Funding Information:
Funding for this work was provided by the U.S. DOE under grant DE-EE0007080 “Enhanced Geothermal System Concept Testing and Development at the Milford City, Utah FORGE Site”. We thank the many stakeholders who are supporting this project, including Smithfield, Utah School and Institutional Trust Lands Administration, and Beaver County as well as the Utah Governor’s Office of Energy Development.
Funding Information:
This work was provided by the U.S. DOE under grant DE-EE0007080 “Enhanced Geothermal System Concept Testing and Development at the Milford City, Utah FORGE Site”. We thank the many stakeholders who are supporting this project, including Smithfield, Utah School and Institutional Trust Lands Administration, and Beaver County as well as the Utah Governor's Office of Energy Development. This research made use of the resources of the High Performance Computing Center at Idaho National Laboratory, which is supported by the Office of Nuclear Energy of the U.S. Department of Energy and the Nuclear Science User Facilities under Contract No. DE-AC07-05ID14517.
Funding Information:
This research made use of the resources of the High Performance Computing Center at Idaho National Laboratory, which is supported by the Office of Nuclear Energy of the U.S. Department of Energy and the Nuclear Science User Facilities under Contract No. DE-AC07-05ID14517.
Publisher Copyright:
© 2022 Geothermal Resources Council. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Orientation and completion for well pairs that have been subjected to multi-zonal stimulation play a critical role in the long-term performance of an Enhanced Geothermal Reservoir. Enhanced geothermal systems often rely on preferential flow along fractures between well injection and production locations. Modeling this preferential flow using discrete fracture networks (DNF) relies on stochastic realizations of the DFN based on geological sampling. Here we present the development of a stochastic optimization methodology to determine well completion options in a discrete fracture network based on using parallel subset simulation. Stochastic optimization will provide insight into regions where placements of the injection and production wells are optimal. An example optimization of well-pair location optimization based on a deterministic-stochastic DFN model representing FORGE follows a discussion of the theory.
AB - Orientation and completion for well pairs that have been subjected to multi-zonal stimulation play a critical role in the long-term performance of an Enhanced Geothermal Reservoir. Enhanced geothermal systems often rely on preferential flow along fractures between well injection and production locations. Modeling this preferential flow using discrete fracture networks (DNF) relies on stochastic realizations of the DFN based on geological sampling. Here we present the development of a stochastic optimization methodology to determine well completion options in a discrete fracture network based on using parallel subset simulation. Stochastic optimization will provide insight into regions where placements of the injection and production wells are optimal. An example optimization of well-pair location optimization based on a deterministic-stochastic DFN model representing FORGE follows a discussion of the theory.
KW - Discrete fracture network
KW - FALCON
KW - FORGE
KW - MOOSE
KW - Optimization under uncertainty
KW - Stochastic methods
UR - https://www.scopus.com/pages/publications/85158144928
UR - https://www.mendeley.com/catalogue/abd53cf4-ef95-359e-b41c-ab819448ec43/
M3 - Conference contribution
AN - SCOPUS:85158144928
T3 - Transactions - Geothermal Resources Council
SP - 597
EP - 605
BT - Using the Earth to Save the Earth - 2022 Geothermal Rising Conference
PB - Geothermal Resources Council
T2 - 2022 Geothermal Rising Conference: Using the Earth to Save the Earth, GRC 2022
Y2 - 28 August 2022 through 31 August 2022
ER -