IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i16p3954-d1453302.html
   My bibliography  Save this article

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

Author

Listed:
  • Hawkar Ali Abdulhaq

    (Department of Mineralogy, Geochemistry, and Petrology, University of Szeged, Egyetem Utca 2, 6722 Szeged, Hungary)

  • János Geiger

    (GEOCHEM Ltd., 7673 Kővágószőlős, Hungary
    Department of Geology and Paleontology, University of Szeged, Egyetem Utca 2, 6722 Szeged, Hungary)

  • István Vass

    (MOL Hungary, MOL Plc, SZEAK épület 2.em 207.sz., 6701 Algyő, Hungary)

  • Tivadar M. Tóth

    (Department of Mineralogy, Geochemistry, and Petrology, University of Szeged, Egyetem Utca 2, 6722 Szeged, Hungary)

  • Tamás Medgyes

    (Geothermal Energy Applied Research Department, University of Szeged, Egyetem Utca 2, 6722 Szeged, Hungary)

  • János Szanyi

    (Geothermal Energy Applied Research Department, University of Szeged, Egyetem Utca 2, 6722 Szeged, Hungary)

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.

Suggested Citation

  • Hawkar Ali Abdulhaq & János Geiger & István Vass & Tivadar M. Tóth & Tamás Medgyes & János Szanyi, 2024. "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, MDPI, vol. 17(16), pages 1-23, August.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:3954-:d:1453302
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/16/3954/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/16/3954/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qin, Jiazheng & Song, Junjie & Tang, Yong & Rui, Zhenhua & Wang, Yong & He, Youwei, 2023. "Well applicability assessment based on fuzzy theory for CO2 sequestration in depleted gas reservoirs," Renewable Energy, Elsevier, vol. 206(C), pages 239-250.
    2. Shi, Yu & Cui, Qiliang & Song, Xianzhi & Liu, Shaomin & Yang, Zijiang & Peng, Junlan & Wang, Lizhi & Guo, Yanchun, 2023. "Thermal performance of the aquifer thermal energy storage system considering vertical heat losses through aquitards," Renewable Energy, Elsevier, vol. 207(C), pages 447-460.
    3. Els van der Roest & Stijn Beernink & Niels Hartog & Jan Peter van der Hoek & Martin Bloemendal, 2021. "Towards Sustainable Heat Supply with Decentralized Multi-Energy Systems by Integration of Subsurface Seasonal Heat Storage," Energies, MDPI, vol. 14(23), pages 1-31, November.
    4. Ko, Seok-Ku & Fontane, Darrell G. & Margeta, Jure, 1994. "Multiple reservoir system operational planning using multi-criterion decision analysis," European Journal of Operational Research, Elsevier, vol. 76(3), pages 428-439, August.
    5. Kastner, O. & Norden, B. & Klapperer, S. & Park, S. & Urpi, L. & Cacace, M. & Blöcher, G., 2017. "Thermal solar energy storage in Jurassic aquifers in Northeastern Germany: A simulation study," Renewable Energy, Elsevier, vol. 104(C), pages 290-306.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Yu & Yang, Zijiang & Peng, Junlan & Zhou, Mengmeng & Song, Xianzhi & Cui, Qiliang & Fan, Meng, 2024. "CO2 storage characteristics and migration patterns under different abandoned oil and gas well types," Energy, Elsevier, vol. 292(C).
    2. Jieyu Xie & Xingying Chen & Kun Yu & Lei Gan & Haochen Hua & Bo Wang & Yuelong Qu, 2024. "Research on the Configuration of a 100% Green Electricity Supplied Zero-Carbon Integrated Energy Station," Energies, MDPI, vol. 17(16), pages 1-22, August.
    3. Kai Stricker & Jens C. Grimmer & Robert Egert & Judith Bremer & Maziar Gholami Korzani & Eva Schill & Thomas Kohl, 2020. "The Potential of Depleted Oil Reservoirs for High-Temperature Storage Systems," Energies, MDPI, vol. 13(24), pages 1-26, December.
    4. Li, Shuang & Wang, Gaosheng & Zhou, Mengmeng & Song, Xianzhi & Shi, Yu & Yi, Junlin & Zhao, Jialin & Zhou, Yifan, 2024. "Thermal performance of an aquifer thermal energy storage system: Insights from novel multilateral wells," Energy, Elsevier, vol. 294(C).
    5. Fleuchaus, Paul & Godschalk, Bas & Stober, Ingrid & Blum, Philipp, 2018. "Worldwide application of aquifer thermal energy storage – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 861-876.
    6. Yi-bin Yu & Ben-de Wang & Guo-li Wang & Wei Li, 2004. "Multi-Person Multiobjective Fuzzy Decision-Making Model for Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(2), pages 111-124, April.
    7. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    8. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
    9. Samuel O. de Almeida & Grigori Chapiro & Pacelli L. J. Zitha, 2022. "Down-Hole Electromagnetic Heating of Deep Aquifers for Renewable Energy Storage," Energies, MDPI, vol. 15(11), pages 1-13, May.
    10. Raju, K. S & Kumar, D. N, 1999. "Multicriterion decision making in irrigation planning," Agricultural Systems, Elsevier, vol. 62(2), pages 117-129, November.
    11. Raju, Komaragiri Srinivasa & Pillai, C. R. S., 1999. "Multicriterion decision making in river basin planning and development," European Journal of Operational Research, Elsevier, vol. 112(2), pages 249-257, January.
    12. Chuntian, Cheng & Chau, K. W., 2002. "Three-person multi-objective conflict decision in reservoir flood control," European Journal of Operational Research, Elsevier, vol. 142(3), pages 625-631, November.
    13. K. Raju & D. Kumar, 2006. "Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 553-566, August.
    14. Bie, Yu & Li, Ming & Chen, Fei & Królczyk, Grzegorz & Yang, Lin & Li, Zhixiong & Li, Weihua, 2019. "A novel empirical heat transfer model for a solar thermal storage process using phase change materials," Energy, Elsevier, vol. 168(C), pages 222-234.
    15. Romanov, D. & Leiss, B., 2022. "Geothermal energy at different depths for district heating and cooling of existing and future building stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    16. Chang, Chun & Wu, Zhiyong & Navarro, Helena & Li, Chuan & Leng, Guanghui & Li, Xiaoxia & Yang, Ming & Wang, Zhifeng & Ding, Yulong, 2017. "Comparative study of the transient natural convection in an underground water pit thermal storage," Applied Energy, Elsevier, vol. 208(C), pages 1162-1173.
    17. Anagnostopoulos, K.P. & Petalas, C., 2011. "A fuzzy multicriteria benefit-cost approach for irrigation projects evaluation," Agricultural Water Management, Elsevier, vol. 98(9), pages 1409-1416, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:3954-:d:1453302. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.