Evaluation and Optimization of Well Completion Options for the Utah FORGE Site

Conference · Wed Aug 31 04:00:00 EDT 2022

OSTI ID:1894593

Munday, Lynn Brendon ^[1]; Dhulipala, Som LakshmiNarasimha ^[1]; Podgorney, Robert K ^[1]; Finnila, Aleta ^[2]

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1. Idaho National Laboratory
2. Golder Associates

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.

• Research Organization: Idaho National Laboratory (INL), Idaho Falls, ID (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC07-05ID14517
• OSTI ID: 1894593
• Report Number(s): INL/CON-22-69697-Rev000
• Country of Publication: United States
• Language: English

Related Subjects

15 GEOTHERMAL ENERGY
discrete fracture network
forge
porous flow