Geothermal modeling in complex geological systems with ComPASS

In deep geothermal reservoirs, faults and fractures play a major role, serving as regulators of fluid flow and heat transfer while also providing feed zones for production wells. To accurately model the operation of geothermal fields, it is necessary to explicitly consider objects of varying spatial scales, from the reservoir scale itself, to that of faults and fractures, down to the scale of the injection and production wells. Our main objective in developing the ComPASS geothermal flow simulator, was to take into account all of these geometric constraints in a flow and heat transfer numerical model using generic unstructured meshes. In its current state, the code provides a parallel implementation of a spatio-temporal discretization of the non-linear equations driving compositional multi-phase thermal flows in porous fractured media on unstructured meshes. It allows an explicit discretization of faults and fractures as 2D hybrid objects, embedded in a 3D matrix. Similarly, wells are modeled as one dimensional graphs discretized by edges of the 3D mesh which allows arbitrary multi-branch wells. The resulting approach is particularly flexible and robust in terms of modeling. Its practical interest is demonstrated by two case studies in high-energy geothermal contexts. • ComPASS is an open-source, evolutive, massively parallel platform for hydrothermal modeling. • ComPASS core is written in compiled high-performance and a Python API allows simulation setup. • ComPASS uses compact finite volume scheme for multi-phase Darcy flow on unstructured meshes. • Unstructured meshes enable modeling of complex geometry like faults, fractures, and deviated wells in ComPASS. • ComPASS uses non-isothermal Coats formulation to solve multi-phase, multi-component Darcy flows. • ComPASS models large and complex geothermal reservoirs effectively. • ComPASS simulations prove effective for highly non-linear, large-scale problems.

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Publication Details

Journal
Computers & Geosciences
Published
2024-11-05
DOI
https://doi.org/10.1016/j.cageo.2024.105752
Citations
1
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.21

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article

Geothermal modeling in complex geological systems with ComPASS

Daniel Castañón Quiroz, Théophile Guillon, Roland Masson, Simón López et al.
1 citations
Computers & Geosciences
CO2 Sequestration and Geologic Interactions
0.21
article

Geothermal modeling in complex geological systems with ComPASS

Daniel Castañón Quiroz, Théophile Guillon, Roland Masson, Simón López, Antoine Armandine Les Landes, Laurent Jeannin, Laurence Beaude, Farid Smaï
article en
1 citations

Abstract

In deep geothermal reservoirs, faults and fractures play a major role, serving as regulators of fluid flow and heat transfer while also providing feed zones for production wells. To accurately model the operation of geothermal fields, it is necessary to explicitly consider objects of varying spatial scales, from the reservoir scale itself, to that of faults and fractures, down to the scale of the injection and production wells. Our main objective in developing the ComPASS geothermal flow simulator, was to take into account all of these geometric constraints in a flow and heat transfer numerical model using generic unstructured meshes. In its current state, the code provides a parallel implementation of a spatio-temporal discretization of the non-linear equations driving compositional multi-phase thermal flows in porous fractured media on unstructured meshes. It allows an explicit discretization of faults and fractures as 2D hybrid objects, embedded in a 3D matrix. Similarly, wells are modeled as one dimensional graphs discretized by edges of the 3D mesh which allows arbitrary multi-branch wells. The resulting approach is particularly flexible and robust in terms of modeling. Its practical interest is demonstrated by two case studies in high-energy geothermal contexts. • ComPASS is an open-source, evolutive, massively parallel platform for hydrothermal modeling. • ComPASS core is written in compiled high-performance and a Python API allows simulation setup. • ComPASS uses compact finite volume scheme for multi-phase Darcy flow on unstructured meshes. • Unstructured meshes enable modeling of complex geometry like faults, fractures, and deviated wells in ComPASS. • ComPASS uses non-isothermal Coats formulation to solve multi-phase, multi-component Darcy flows. • ComPASS models large and complex geothermal reservoirs effectively. • ComPASS simulations prove effective for highly non-linear, large-scale problems.

Computers & GeosciencesVol. 194
Centre National de la Recherche Scientifique (FR), Université Côte d'Azur (FR), Nord University (NO), Laboratoire Jean-Alexandre Dieudonné (FR), Institut de Biologie Valrose (FR), Bureau de Recherches Géologiques et Minières (FR), Universidad Nacional Autónoma de México (MX)
Bureau de Recherches Géologiques et Minières, Université Côte d’Azur
Climate action
Openalex Percentile: Top 56%
CO2 Sequestration and Geologic Interactions
0.21
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