Transforming Abandoned Hydrocarbon Fields into Heat Storage Solutions: A Hungarian Case Study Using Enhanced Multi-Criteria Decision Analysis–Analytic Hierarchy Process and Geostatistical Methods

IF 3 4区工程技术 Q3 ENERGY & FUELS

Energies Pub Date : 2024-08-09 DOI:10.3390/en17163954

Hawkar A. Abdulhaq, János Geiger, István Vass, T. Tóth, Tamás Medgyes, János Szanyi

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Abstract

This study introduces a robust methodology utilizing Multi-Criteria Decision Analysis (MCDA) combined with an Analytic Hierarchy Process (AHP) to repurpose abandoned hydrocarbon fields for energy storage, supporting the transition to renewable energy sources. We use a geostatistical approach integrated with Python scripting to analyze reservoir parameters—including porosity, permeability, thickness, lithology, temperature, heat capacity, and thermal conductivity—from a decommissioned hydrocarbon field in Southeast Hungary. Our workflow leverages stochastic simulation data to identify potential zones for energy storage, categorizing them into high-, moderate-, and low-suitability scenarios. This innovative approach provides rapid and precise analysis, enabling effective decision-making for energy storage implementation in depleted fields. The key finding is the development of a methodology that can quickly and accurately assess the feasibility of repurposing abandoned hydrocarbon reservoirs for underground thermal energy storage, offering a practical solution for sustainable energy transition.

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将废弃油气田转化为储热解决方案：利用增强型多标准决策分析--层次分析法和地质统计方法进行的匈牙利案例研究

本研究介绍了一种利用多标准决策分析（MCDA）与层次分析法（AHP）相结合的稳健方法，将废弃油气田重新用于能源存储，支持向可再生能源过渡。我们使用一种与 Python 脚本集成的地质统计方法来分析匈牙利东南部一个退役油气田的储层参数，包括孔隙度、渗透率、厚度、岩性、温度、热容量和热导率。我们的工作流程利用随机模拟数据来确定潜在的储能区，并将其分为高、中、低适宜性方案。这种创新方法可提供快速、精确的分析，从而为在枯竭油田实施储能做出有效决策。主要发现是开发了一种方法，可以快速准确地评估将废弃碳氢化合物储层重新用于地下热能存储的可行性，为可持续能源转型提供了一个实用的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energies ENERGY & FUELS-

CiteScore

6.20

自引率

21.90%

发文量

8045

审稿时长

1.9 months

期刊介绍： Energies (ISSN 1996-1073) is an open access journal of related scientific research, technology development and policy and management studies. It publishes reviews, regular research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.