期刊论文详细信息
RENEWABLE ENERGY 卷:171
The fault plane as the main fluid pathway: Geothermal field development options under subsurface and operational uncertainty
Article
Daniilidis, Alexandros1,2  Saeid, Sanaz1  Doonechaly, Nima Gholizadeh3 
[1] Delft Univ Technol, Fac Civil Engn & Geosci, Petr Engn, Stewinweg 1, NL-2628 CN Delft, Netherlands
[2] Univ Geneva, Fac Sci, Reservoir Geol & Basin Anal, Rue Maraichers 13, CH-1205 Geneva, Switzerland
[3] Swiss Fed Inst Technol, Dept Earth Sci, Sonneggstr 5, CH-8092 Zurich, Switzerland
关键词: Fault anisotropy;    Uncertainty;    System lifetime;    NPV;    Field development;    Reservoir simulation;   
DOI  :  10.1016/j.renene.2021.02.148
来源: Elsevier
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【 摘 要 】

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 en-ergy, 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 (V/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. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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