A Julia-Based Computational Framework for Combined Geothermal and Natural Gas Production in Mature Sandstone Reservoirs

The combined use of geothermal energy extraction and conventional natural gas production represents a promising approach to improve subsurface energy utilization during the energy transition. Mature gas reservoirs offer the potential to supply geothermal heat to nearby communities while extending hydrocarbon recovery through reuse of existing infrastructure. This study investigates combined geothermal–natural gas production in mature sandstone reservoirs, focusing on the Middle Buntsandstein Formation in Northwest Germany. A new computational framework is developed in the Julia programming language, incorporating two-phase flow, gas compressibility, and coupled heat transport. The framework exploits modern Julia features such as automatic differentiation, flexible finite-volume discretization, and multithreading based parallelization to efficiently simulate large-scale reservoir systems. Numerical simulations over a 30-year production period assess the influence of reservoir geometry, stratigraphy, and well configuration on thermal and water breakthrough behavior. Horizontal, anticlinal, and inclined reservoir settings can be evaluated to identify favorable production strategies. Work in progress investigates, if combined geothermal production can enhance cumulative gas recovery compared to conventional scenarios, primarily due to delayed water breakthrough. The framework provides a flexible basis for assessing combined subsurface energy systems while highlighting remaining limitations and directions for future development.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-15
DOI
https://doi.org/10.5281/zenodo.19029549
Primary Topic
Geothermal Energy Systems and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Julia-Based Computational Framework for Combined Geothermal and Natural Gas Production in Mature Sandstone Reservoirs

Ernesto Meneses Rioseco, Gueorgui Lee Exuzian, Jürgen Fuhrmann
Zenodo (CERN European Organization for Nuclear Research)
Geothermal Energy Systems and Applications
article

A Julia-Based Computational Framework for Combined Geothermal and Natural Gas Production in Mature Sandstone Reservoirs

Ernesto Meneses Rioseco, Gueorgui Lee Exuzian, Jürgen Fuhrmann
article en

Abstract

The combined use of geothermal energy extraction and conventional natural gas production represents a promising approach to improve subsurface energy utilization during the energy transition. Mature gas reservoirs offer the potential to supply geothermal heat to nearby communities while extending hydrocarbon recovery through reuse of existing infrastructure. This study investigates combined geothermal–natural gas production in mature sandstone reservoirs, focusing on the Middle Buntsandstein Formation in Northwest Germany. A new computational framework is developed in the Julia programming language, incorporating two-phase flow, gas compressibility, and coupled heat transport. The framework exploits modern Julia features such as automatic differentiation, flexible finite-volume discretization, and multithreading based parallelization to efficiently simulate large-scale reservoir systems. Numerical simulations over a 30-year production period assess the influence of reservoir geometry, stratigraphy, and well configuration on thermal and water breakthrough behavior. Horizontal, anticlinal, and inclined reservoir settings can be evaluated to identify favorable production strategies. Work in progress investigates, if combined geothermal production can enhance cumulative gas recovery compared to conventional scenarios, primarily due to delayed water breakthrough. The framework provides a flexible basis for assessing combined subsurface energy systems while highlighting remaining limitations and directions for future development.

Zenodo (CERN European Organization for Nuclear Research)
Weierstrass Institute for Applied Analysis and Stochastics (DE), University of Göttingen (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Geothermal Energy Systems and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.