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Optimization Wells Placement Policy for Enhanced CO 2 Storage Capacity in Mature Oil Reservoirs

Author

Listed:
  • Michał Kuk

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology; Mickiewicza 30 Av., 30-059 Kraków, Poland)

  • Edyta Kuk

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology; Mickiewicza 30 Av., 30-059 Kraków, Poland)

  • Damian Janiga

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology; Mickiewicza 30 Av., 30-059 Kraków, Poland)

  • Paweł Wojnarowski

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology; Mickiewicza 30 Av., 30-059 Kraków, Poland)

  • Jerzy Stopa

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology; Mickiewicza 30 Av., 30-059 Kraków, Poland)

Abstract

One of the possibilities to reduce carbon dioxide emissions is the use of the CCS method, which consists of CO 2 separation, transport and injection of carbon dioxide into geological structures such as depleted oil fields for its long-term storage. The combination of the advanced oil production method involving the injection of carbon dioxide into the reservoir (CO 2 -EOR) with its geological sequestration (CCS) is the CCS-EOR process. To achieve the best ecological effect, it is important to maximize the storage capacity for CO 2 injected in the CCS phase. To achieve this state, it is necessary to maximize recovery factor of the reservoir during the CO 2 -EOR phase. For this purpose, it is important to choose the best location of CO 2 injection wells. In this work, a new algorithm to optimize the location of carbon dioxide injection wells is developed. It is based on two key reservoir properties, i.e., porosity and permeability. The developed optimization procedure was tested on an exemplary oil field simulation model. The obtained results were compared with the option of arbitrary selection of injection well locations, which confirmed both the legitimacy of using well location optimization and the effectiveness of the developed optimization method.

Suggested Citation

  • Michał Kuk & Edyta Kuk & Damian Janiga & Paweł Wojnarowski & Jerzy Stopa, 2020. "Optimization Wells Placement Policy for Enhanced CO 2 Storage Capacity in Mature Oil Reservoirs," Energies, MDPI, vol. 13(16), pages 1-20, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4054-:d:394914
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    Citations

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    Cited by:

    1. Kuk, Edyta & Kuk, Michał & Janiga, Damian & Wojnarowski, Paweł & Stopa, Jerzy, 2021. "Smart Optimization of Proactive Control of Petroleum Reservoir," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021, pages 297-306, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    2. Edyta Kuk & Jerzy Stopa & Michał Kuk & Damian Janiga & Paweł Wojnarowski, 2022. "Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage," Energies, MDPI, vol. 15(9), pages 1-22, May.

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