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Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatical Based Method, Hungarian Case Study
Abdulhaq, H.A.; Geiger, J.; Vass, I.; Tóth, T.M.; Medgyes, T.; Szanyi, J. Transforming Abandoned Hydrocarbon Fields into Heat Storage Solutions: A Hungarian Case Study Using Enhanced Multi-Criteria Decision Analysis–Analytic Hierarchy Process and Geostatistical Methods. Energies2024, 17, 3954.
Abdulhaq, H.A.; Geiger, J.; Vass, I.; Tóth, T.M.; Medgyes, T.; Szanyi, J. Transforming Abandoned Hydrocarbon Fields into Heat Storage Solutions: A Hungarian Case Study Using Enhanced Multi-Criteria Decision Analysis–Analytic Hierarchy Process and Geostatistical Methods. Energies 2024, 17, 3954.
Abdulhaq, H.A.; Geiger, J.; Vass, I.; Tóth, T.M.; Medgyes, T.; Szanyi, J. Transforming Abandoned Hydrocarbon Fields into Heat Storage Solutions: A Hungarian Case Study Using Enhanced Multi-Criteria Decision Analysis–Analytic Hierarchy Process and Geostatistical Methods. Energies2024, 17, 3954.
Abdulhaq, H.A.; Geiger, J.; Vass, I.; Tóth, T.M.; Medgyes, T.; Szanyi, J. Transforming Abandoned Hydrocarbon Fields into Heat Storage Solutions: A Hungarian Case Study Using Enhanced Multi-Criteria Decision Analysis–Analytic Hierarchy Process and Geostatistical Methods. Energies 2024, 17, 3954.
Abstract
This study introduces a robust methodology utilizing Multi-Criteria Decision Analysis (MCDA) combined with the 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.
Keywords
geothermal energy; Aquifer Thermal Energy Storage (ATES); underground heat storage; hydrocarbon fields; Multi-Criteria Decision Analysis (MCDA); data modeling
Subject
Environmental and Earth Sciences, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
