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Prospects of an Acid Gas Re-Injection Process into a Mature Reservoir

Author

Listed:
  • Eirini Maria Kanakaki

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Anna Samnioti

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Evangelia Koffa

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Irene Dimitrellou

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Ivan Obetzanov

    (Energean, Kifissias Avenue 32, Atrina Center, 15125 Athens, Greece)

  • Yannis Tsiantis

    (Energean, Kifissias Avenue 32, Atrina Center, 15125 Athens, Greece)

  • Paschalia Kiomourtzi

    (Energean, Kifissias Avenue 32, Atrina Center, 15125 Athens, Greece)

  • Vassilis Gaganis

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Sofia Stamataki

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Athens, Greece)

Abstract

This study provides insights into the experience gained from the investigation of the dynamic behavior of a mature sour hydrocarbon reservoir modeling under an acid gas re-injection process production strategy. The primary objective was to analyze and evaluate the production behavior of proposed injection zones by assessing various injection scenarios and obtaining oil production over time. To achieve that, a workflow was developed to prioritize potential injection areas, select the optimal wells, determine the optimal operational parameters and optimize a pilot application design based on expected performance. Within this framework, the study encompasses diverse acid gas injection schemes on a pilot scale approach, including acid gas combined with waterflooding. The outcome of this analysis will eventually lead to the identification of the most promising and highest-performing injection scheme, elucidating the optimal range of operating parameters. This optimal combination forms the basis for the economic analysis of the venture and the subsequent detailed design of a full-scale application, where real-world implementation will validate the projected results.

Suggested Citation

  • Eirini Maria Kanakaki & Anna Samnioti & Evangelia Koffa & Irene Dimitrellou & Ivan Obetzanov & Yannis Tsiantis & Paschalia Kiomourtzi & Vassilis Gaganis & Sofia Stamataki, 2023. "Prospects of an Acid Gas Re-Injection Process into a Mature Reservoir," Energies, MDPI, vol. 16(24), pages 1-27, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:7989-:d:1297116
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    References listed on IDEAS

    as
    1. Anna Samnioti & Vassilis Gaganis, 2023. "Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I," Energies, MDPI, vol. 16(16), pages 1-43, August.
    2. Anna Samnioti & Vassilis Gaganis, 2023. "Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II," Energies, MDPI, vol. 16(18), pages 1-53, September.
    3. Anna Samnioti & Eirini Maria Kanakaki & Evangelia Koffa & Irene Dimitrellou & Christos Tomos & Paschalia Kiomourtzi & Vassilis Gaganis & Sofia Stamataki, 2023. "Wellbore and Reservoir Thermodynamic Appraisal in Acid Gas Injection for EOR Operations," Energies, MDPI, vol. 16(5), pages 1-26, March.
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    1. Anna Samnioti & Vassilis Gaganis, 2023. "Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I," Energies, MDPI, vol. 16(16), pages 1-43, August.

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