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Wellbore and Reservoir Thermodynamic Appraisal in Acid Gas Injection for EOR Operations

Author

Listed:
  • Anna Samnioti

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

  • Eirini Maria Kanakaki

    (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)

  • Christos Tomos

    (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
    Institute of Geoenergy, Foundation for Research and Technology-Hellas, 73100 Chania, 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 investigating the thermodynamic behavior of well and reservoir fluids during acid gas injection (AGI) in a hydrocarbon field to enhance oil recovery (EOR) and to reduce greenhouse gas emissions. Unlike conventional water and natural gas injection, AGI involves complicated phase changes and physical property variations of the acid gas and reservoir fluids at various pressure-temperature (P-T) conditions and compositions, and both constitute crucial parts of the EOR chain. A workflow is developed to deal with the reservoir fluid and acid gas thermodynamics, which is a key requirement for a successful design and operation. The workflow focuses firstly on the development of the thermodynamic models (EoS) to simulate the behavior of the reservoir fluids and of the injected acid gas and their integration in the field and in well dynamic models. Subsequently, the workflow proposes the thermodynamic simulation of the fluids’ interaction to determine the Minimum Miscibility Pressure (MMP), yielding the dynamic evolution of the fluids’ miscibility that may appear within the reservoir. Flow assurance in the acid gas transportation lines and in the wellbore is also considered by estimating the hydrate formation conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2392-:d:1085607
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    References listed on IDEAS

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    1. Vassiliki Anastasiadou & Anna Samnioti & Renata Kanakaki & Vassilis Gaganis, 2022. "Acid Gas Re-Injection System Design Using Machine Learning," Clean Technol., MDPI, vol. 4(4), pages 1-19, October.
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    Cited by:

    1. Panagiotis Papanikolaou & Eirini Maria Kanakaki & Stefanos Lempesis & Vassilis Gaganis, 2024. "Mass Balance-Based Quality Control of PVT Results of Reservoir Oil DL Studies," Energies, MDPI, vol. 17(13), pages 1-29, July.
    2. 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.
    3. 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.

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