Thermal Characteristics of the Roosevelt Hot Springs System, with Focus on the FORGE EGS Site, Milford, Utah

Allis, Rick; Gwynn, Mark; Hardwick, Christian; Hurlbut, Will; Moore, Joseph N.

doi:10.34191/mp-169-d

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…UtahFORGE is a field laboratory located in Milford, Utah, to study EGS (Allis et al, 2016;Moore et al, 2019). This field laboratory provides a unique opportunity to develop and test new technologies for characterizing and creating sustainable geothermal systems in a controlled environment.…”

Section: Utahforgementioning

confidence: 99%

Index, Volume 3, 2022

2022

J Mach Learn Model Comput

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The Journal of Machine Learning for Modeling and Computing (JMLMC) focuses on the study of machine learning methods for modeling and scientific computing. The scope of the journal includes, but is not limited to, research of the following types: (1) the use of machine learning techniques to model real-world problems such as physical systems, social sciences, biology, etc.; (2) the development of novel numerical strategies, in conjunction of machine learning methods, to facilitate practical computation; and (3) the fundamental mathematical and numerical analysis for understanding machine learning methods.

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Section: Utahforgementioning

confidence: 99%

Index, Volume 3, 2022

2022

J Mach Learn Model Comput

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“…Thermal properties of the granitoid reservoir and overlying sediments were studied in detail using rock core and cuttings obtained during the drilling of Well 58-32 [11,33,36,38]. Measurements of specific heat capacity and thermal conductivity were made at nominally 33 m (100 ft) intervals along the length of Well 58-32.…”

Section: Thermal Propertiesmentioning

confidence: 99%

“…Translating these distributions to the boundary conditions used in the modeling activities will be discussed in detail in the following sections. [38], which resulted in a complex 3D thermal structure in the vicinity of the FORGE site. The complex temperature distribution is due to the interaction of thermal fluids moving through the upper sediments around a portion of the Opal Mound Fault and conduction from what is taken to be an irregularly shaped thermal regime at depth.…”

Section: Boundary Conditionsmentioning

confidence: 99%

“…The 3D interpolation of the temperature data, developed in LeapFrog, was mapped onto the numerical model grid as assigned to all sides of the model domain as a Dirichlet boundary condition, as shown in Figure 9. The values for the top surface of the model domain ranged from approximately 55 • C to over 90 • C. Allis et al [38] originally set a maximum temperature of 250 • C in their predictions as they had no way to justify using higher values. As was done for the top temperature boundary, the 3D interpolation of the temperature data was mapped onto the numerical model grid and assigned to the bottom of the model domain.…”

Section: Boundary Conditionsmentioning

confidence: 99%

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A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

et al. 2021

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The Frontier Observatory for Research in Geothermal Energy (FORGE) site is a multi-year initiative funded by the U.S. Department of Energy for enhanced geothermal system research and development. The site is located on the margin of the Great Basin near the town of Milford, Utah. Work has so far resulted in the compilation of a large amount of subsurface data which have been used to improve the geologic understanding of the site. Based on the compiled data, a three-dimensional geologic model describing the structure, composition, permeability, and temperature at the Utah FORGE site was developed. A deep exploratory well (Well 58-32) and numerous tests conducted therein provide information on reservoir rock type, temperature, stress, permeability, etc. Modeling and simulation will play a critical role at the site and need to be considered as a general scientific discovery tool to elucidate the behavior of enhanced geothermal systems and as a deterministic (or stochastic) tool to plan and predict specific activities. This paper will present the development of a reference native state model and the calibration of the model to the reservoir pressure, temperature, and stress measured in Well 58-32.

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“…Over the past several decades, many largescale field tests have been conducted in these areas. A few projects in the US include: Fenton Hill enhanced geothermal system (EGS) project [Mortensen, 1978], Utah FORGE EGS project [Allis et al, 2016], Waste Isolation Pilot Plant for permanent geological storage of nuclear waste [National Research Council et al, 1996], Cranfield CO 2 geological storage project [Nemeth, 2004], and the hydraulic fracturing test site (HFTS) for multi-cluster hydraulic fracturing in shale [Ugueto et al, 2021]. Furthermore, understanding of rock shear yield and failure induced by coupled THM processes has recently gained significant interest.…”

Section: Introductionmentioning

confidence: 99%

An open source FEM code for solving coupled thermo-poroelastoplastic processes

McLean,

Espinoza

2024

Open Geomechanics

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Coupled thermo-hydro-mechanical (THM) processes are ubiquitous in subsurface energy production and geological utilization and storage operations. Numerical simulation of strongly coupled THM processes is a non-trivial task, yet required to predict the performance of many applications in energy geomechanics. The majority of existing and open source THM numerical codes are not end user adaptable and do not include elastoplasticity coupled to mass and energy balance equations. This article presents an open source thermoporoelastoplastic finite element numerical code with a fully-coupled monolithic solution strategy that is solved with Fenicsx computing platform. The formulation employs a mixed finite element scheme for pore pressure diffusivity, Petrov-Galerkin methods for energy transport, mean stress dependent yield surface, and non-associative plastic potential. The numerical solution is verified with small-scale conventional triaxial tests, including drained and undrained compression and extension. We present example simulations reaching the yield surface induced by coupled hydro-mechanical and thermal loads. In addition, we present two example large-scale applications related to geothermal energy and carbon geological storage. Results show that the numerical solution accurately predicts changes of temperature, pore pressure, and stress for a wide range of model geometries and boundary conditions, including the plastic response. The code is freely available to the general community for use and modification.

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Thermal Characteristics of the Roosevelt Hot Springs System, with Focus on the FORGE EGS Site, Milford, Utah

Cited by 5 publications

References 13 publications

Index, Volume 3, 2022

Index, Volume 3, 2022

A Reference Thermal-Hydrologic-Mechanical Native State Model of the Utah FORGE Enhanced Geothermal Site

An open source FEM code for solving coupled thermo-poroelastoplastic processes

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