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Mass Balance-Based Quality Control of PVT Results of Reservoir Oil DL Studies

Author

Listed:
  • Panagiotis Papanikolaou

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 157 73 Athens, Greece)

  • Eirini Maria Kanakaki

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 157 73 Athens, Greece)

  • Stefanos Lempesis

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 157 73 Athens, Greece)

  • Vassilis Gaganis

    (School of Mining and Metallurgical Engineering, National Technical University of Athens, 157 73 Athens, Greece
    Institute of Geoenergy, Foundation for Research and Technology, 731 00 Chania, Greece)

Abstract

Fluid properties live at the heart of hydrocarbon reservoir engineering as it is related to the behavior of fluids under reservoir pressure depletion. To obtain their values, PVT experimental work needs to be performed. Although the experimental workflow is strictly defined, the accuracy of the measurements often suffers from significant errors which in turn affect severely all the following engineering calculations as well as the following equation of state (EoS) tuning step. In this work, a systematic methodology is developed to apply quality control (QC) on the PVT values reported in a typical lab report. Firstly, the equations expressing mass balance are developed to calculate the missing closing data, such as the residual oil density and the composition of oil collected at each stage of the depletion study. Subsequently, computational tools are developed to evaluate the physical soundness of the received results and provide insight as to whether the quality of the experimental data is sufficient. To demonstrate the proposed workflow, it is applied to a selection of representative reservoir fluids of varying volatility. We demonstrate that depending on the reservoir fluid properties, calculations may yield highly unrealistic results, which engineers should avoid using unless corrected. Specifically, differential liberation (DL) test properties reported for low-volatility oils are generally reliable. However, for high-volatility oils, particularly during the final depletion stages, the test outcomes often become unrealistic. Finally, instructions to fluid and reservoir engineers on how to handle those issues and protect the reliability of their calculations are provided.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3301-:d:1429434
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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. Guan, Dawei & Qu, Aoxing & Gao, Peng & Fan, Qi & Li, Qingping & Zhang, Lunxiang & Zhao, Jiafei & Song, Yongchen & Yang, Lei, 2023. "Improved temperature distribution upon varying gas producing channel in gas hydrate reservoir: Insights from the Joule-Thomson effect," Applied Energy, Elsevier, vol. 348(C).
    4. 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.
    Full references (including those not matched with items on IDEAS)

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