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Workflows to Optimally Select Undersaturated Oil Viscosity Correlations for Reservoir Flow Simulations

Author

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  • Sofianos Panagiotis Fotias

    (Department of Mineralogy-Petrology-Economic Geology, School of Geology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
    Mining and Metallurgical Engineering, National Technical University of Athens, 157 73 Athens, Greece)

  • Andreas Georgakopoulos

    (Department of Mineralogy-Petrology-Economic Geology, School of Geology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece)

  • Vassilis Gaganis

    (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

Undersaturated oil viscosity is one of the most important PVT parameters to be measured and/or predicted in a fluid sample. Since direct experimental measurements are expensive and time-costly, prediction methods are essential. In this work, viscosity data from more than five hundred fluid reports are utilized, and all correlation methods available in the literature and implemented in commercial software for reservoir and production engineering calculations, including fracked systems, are evaluated against the dataset. The results of this work are intended to set up workflows that give insight as to which method should be selected when running flow simulations, with emphasis on complex simulations such as in the case of EOR. The developed workflows provide the optimal choice of the viscosity correlation for the case of distinct viscosity ranges, as well as when overall performance is sought. A surprising result is that one of the oldest known correlations from the literature gives the best results (minimizes average absolute relative error) when tested against this large dataset. This may be attributed to the high locality that alternative correlations exhibit, which makes them generalize poorly.

Suggested Citation

  • Sofianos Panagiotis Fotias & Andreas Georgakopoulos & Vassilis Gaganis, 2022. "Workflows to Optimally Select Undersaturated Oil Viscosity Correlations for Reservoir Flow Simulations," Energies, MDPI, vol. 15(24), pages 1-23, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9320-:d:998057
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    References listed on IDEAS

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    1. Karina Shamilyevna Nurgalieva & Liliya Albertovna Saychenko & Masoud Riazi, 2021. "Improving the Efficiency of Oil and Gas Wells Complicated by the Formation of Asphalt–Resin–Paraffin Deposits," Energies, MDPI, vol. 14(20), pages 1-16, October.
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