Simulation-Based Patterns Optimization of Enhanced Geothermal System

Jerjes Porlles Hurtado, H. Jabbari
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Abstract

We developed a workflow to generate sensitivity analysis and optimization of an Enhanced Geothermal System (EGS) with vertical and horizontal wells in different patterns. The recovery factor, heat extraction, and NPV (Net Present Value) of each pattern were determined as a part of the sensitivity analysis. This study models a conceptual reservoir geometry and tries to answer questions related to injection patterns, reservoir parameters, and type of reservoir, and contribute with additional knowledge about how to improve an EGS. Hence, an optimal thermal flow rate that makes the most of NPV was calculated. A sensitivity study on the controlling parameters such as porosity, horizontal permeability, vertical permeability, natural fracture spacing, thermal conductivity, and thermal capacity to determine how these parameters affect the heat extraction of the reservoir was developed. A complete economic analysis of the electricity generation value was assessed from several scenarios with current electricity prices and drilling costs.
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基于仿真的增强型地热系统模式优化
我们开发了一套工作流程,对不同模式的直井和水平井增强型地热系统(EGS)进行敏感性分析和优化。作为敏感性分析的一部分,确定了每种模式的采收率、热量提取和净现值。该研究建立了一个概念性油藏几何模型,试图回答与注入模式、油藏参数和油藏类型相关的问题,并为如何改进EGS提供了额外的知识。因此,计算了最大限度地利用净现值的最优热流率。对孔隙度、水平渗透率、垂向渗透率、天然裂缝间距、导热系数、热容量等控制参数进行敏感性研究,确定这些参数对储层采热的影响。在当前电价和钻井成本的情况下,对发电价值进行了全面的经济分析。
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