The fault plane as the main fluid pathway

Geothermal field development options under subsurface and operational uncertainty

Journal Article (2021)
Authors

A. Daniilidis (TU Delft - Reservoir Engineering, University of Geneva)

S Saeid (TU Delft - Reservoir Engineering)

Nima Gholizadeh Doonechaly (ETH Zürich)

Research Group
Reservoir Engineering
Copyright
© 2021 Alexandros Daniilidis, S. Saeid, N. Gholizadeh Doonechaly
To reference this document use:
https://doi.org/10.1016/j.renene.2021.02.148
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Alexandros Daniilidis, S. Saeid, N. Gholizadeh Doonechaly
Research Group
Reservoir Engineering
Volume number
171
Pages (from-to)
927-946
DOI:
https://doi.org/10.1016/j.renene.2021.02.148
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Abstract

Geothermal energy is gaining momentum as a renewable energy source. Reservoir simulation studies are often used to understand the underlying physics interactions and support decision making. Uncertainty related to geothermal systems can be substantial for subsurface and operational parameters and their interaction with regards to the output in terms of lifetime, energy and economic output. Specifically, for geothermal systems with the fault acting as the main fluid pathway the relevant field development uncertainties have not been comprehensively addressed. In this study we show how the produced energy, system lifetime and NPV are affected considering a range of subsurface and operational parameters as uncertainty sources utilizing an ensemble of 16,200 3D Hydraulic-Thermal (HT) reservoir simulations, conceptually based on the Rittershoffen field. A well configuration with oblique angles with respect to the main permeability anisotropy axes results in higher system lifetime, generated energy and NPV. A well spacing of 600 m consistently yields a higher economic efficiency (€/MWh) under all uncertainty parameters considered. More robust development options could be utilized in the absence of fault permeability characterization to ensure improved output prediction under uncertainty. Studies based on the methodology presented can improve investment efficiency for field development under subsurface and operational uncertainty.