4.5 Article

Stochastic Techno-economic Analysis of CO2-circulated Geothermal Energy Production in a Closed Reservoir System

Journal

GEOTHERMICS
Volume 96, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.geothermics.2021.102202

Keywords

Geothermal energy; Oil reservoir; Carbon dioxide; Simulation-optimization; Uncertainty analysis

Funding

  1. BP Oman [BP-DVC-WRC-18-01]
  2. SQU research Group [DR/RG/17]

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This study aims to analyze the techno-economic feasibility of CO2-circulated geothermal production in a closed reservoir system, specifically focusing on the unique geothermal reservoir conditions found in the foreland basin of North Oman. The findings suggest that the proposed triplet horizontal well placement is technically feasible and economically viable for harvesting low-enthalpy geothermal energy from depleted reservoirs in the North Oman region.
Many wells become abandoned with the depletion of oil and gas reservoirs, and low-enthalpy geothermal energy could be extracted from these abandoned wells. CO2 has been proposed and studied as the working fluid for mining such geothermal energy sources, owing to its favorable thermodynamic properties. The objective of this study is to develop an uncertainty-based simulation-optimization approach to analyze the techno-economic feasibility of CO2-circulated geothermal production in a closed reservoir system. In doing so, we address the particular geothermal reservoir conditions found in North Oman`s foreland basin where several large oil/gas fields are located. The geothermal reservoir conditions in this area can be characterized by inclined and thin layers, partially to fully fault-blocked, and relatively homogeneous and low permeable formations. Such conditions have not been investigated in the context of CO2-circulated geothermal production. Another key novelty of this work is to analyze a triplet horizontal well placement designed particularly for such thinly-bedded fullyclosed reservoirs. The main building blocks of the proposed methodology are the application of a non-isothermal, multi-phase, multi-component numerical reservoir simulator, a neural network-based metamodel, Monte Carlo simulations, and genetic algorithm. The findings suggest the proposed well pattern is technically feasible and economically viable to harvest low-enthalpy geothermal energy from the type of depleted reservoirs found in North Oman region.

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