Geothermal energy

In line with the green shift, we are transferring the expertise developed and cultivated for the oil and gas industry into other geoscience and geoenergy applications like geothermal energy and gas and energy storage

Through established partnerships with industry and researchers from the University of Geneva, we have dedicated several years to developing fit-for-purpose, open-source geothermal simulation technology, drawing from methods used in oil and gas reservoir simulation. Our research encompasses diverse systems, such as aquifer thermal energy storage (ATES), high-temperature ATES (HT-ATES), and borehole thermal energy storage (BTES). Specifically, our focus has been on optimizing the design and management of intricate geothermal systems for both heat production and seasonal storage.

Moving forward, we will focus on developing digital twin technology that will benefit operators in three different ways

• Pre-construction: Build virtual prototypes to simulate and evaluate design and operational conditions, including well configuration.
• Post-construction: Establish a digital twin to understand ongoing operations and enhance performance, such as drilling additional wells.
• Access and training in innovative, flexible technology for constructing digital models that facilitate studying how various factors influence outcomes.

References

• Ø. Klemetsdal and O. Andersen. Proxy Models for Rapid Simulation of Underground Thermal Energy Storage. Fifth EAGE Global Energy Transition Conference & Exhibition (GET 2024), Nov 2024, Volume 2024, pp. 1–5. DOI: 10.3997/2214-4609.202421075
• O. Andersen and Ø. Klemetsdal. Conceptualizing, Simulating and Optimizing the Integrated Operation of a Multi-Component UTES System. 85th EAGE Annual Conference & Exhibition, Jun 2024, Volume 2024, pp. 1–5. DOI: 10.3997/2214-4609.2024101335
• A. Minakov, Ø. Klemetsdal, M. Collignon, C. Gaina, I. Panea, and M. Neukirch. Basin-Scale Modeling of the Baia Mare geothermal and Ore-Forming System. 85th EAGE Annual Conference & Exhibition, Jun 2024, Volume 2024, pp. 1–5. DOI: 10.3997/2214-4609.202410836
• Ø. Klemetsdal, O. Andersen, S. Krogstad, H. M. Nilsen, and E. Bastesen. Modelling and optimization of shallow underground thermal energy storage. Geoenergy, 2023, 1(1). DOI: 10.1144/geoenergy2023-005
• M. Collignon, Ø. S. Klemetsdal, and O. Møyner. Simulation of Geothermal Systems Using MRST. In: K.-A. Lie and O. Møyner (eds), Advanced Modeling with the MATLAB Reservoir Simulation Toolbox, Cambridge University Press, 2021, pp. 491–514. DOI: 10.1017/9781009019781.018
• M. Collignon, Ø. S. Klemetsdal, O. Møyner, M. Alcanié, A. P. Rinaldi, H. Nilsen, and M. Lupi. Evaluating thermal losses and storage capacity in high-temperature aquifer thermal energy storage (HT-ATES) systems with well operating limits: insights from a study-case in the Greater Geneva Basin, Switzerland. Geothermics, Volume 85, May 2020, 101773. DOI: 10.1016/j.geothermics.2019.101773
• M. Collignon, Ø. S. Klemetsdal, O. Møyner, and A. Rinaldi. 3D Basin‐Scale Groundwater Flow Modeling as a Tool for Geothermal Exploration: Application to the Geneva Basin, Switzerland‐France. Geochemistry, Geophysics, Geosystems, 2020. DOI: 10.1029/2020GC009505