Creation of a Hydrodynamic Digital Model of a Laboratory Core Experiment of Surfactant Polymer Impact on Oil Recovery, in Order to Determine Parameters for Further Full-Scale Simulation

Alexander Cheremisin, Vasiliy Lompik, Margarita Spivakova, Alexey Kudryashov, Kiryl Karseka, Denis Mityurich and Alexander Podnebesnykh
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Alexander Cheremisin: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Vasiliy Lompik: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Margarita Spivakova: Skolkovo Institute of Science and Technology, 121205 Moscow, Russia
Alexey Kudryashov: State Oil and Gas Company Belorusneft, R&D Institute, 15B, Knizhnaya Str., 246003 Gomel, Belarus
Kiryl Karseka: State Oil and Gas Company Belorusneft, R&D Institute, 15B, Knizhnaya Str., 246003 Gomel, Belarus
Denis Mityurich: State Oil and Gas Company Belorusneft, R&D Institute, 15B, Knizhnaya Str., 246003 Gomel, Belarus
Alexander Podnebesnykh: Roxar Services, 4031 Stavanger, Norway

Energies, 2022, vol. 15, issue 9, 1-14

Abstract: The work aimed to solve the problem of determining, validating, and transferring model parameters of flooding using chemical enhanced oil recovery (EOR) from a core experiment to a full-scale hydrodynamic model. For this purpose, a digital hydrodynamic model describing the process of oil displacement by the surfactant and polymer solution on the core is created and the digital model is matched to achieve convergence with the historical data. This approach allows the uncertainties associated with the limited number of experiments to be removed to fully describe the parameters of the chemical surfactant polymer flooding model and form a database that could subsequently be replicated at various field sites, having the composition of reservoir fluids and distribution of rock composition in the core material as the basis. Besides, the digital model allows for verification of physical and chemical properties of surfactants and polymers, values of the adsorption of chemical agents on rocks, and the behavior of relative permeability in the hydrodynamic model of EOR before making predictions on the full-scale model and to improve the quality of forecast cases.

Keywords: EOR; polymer; chemical flooding; digital core; surfactant; modeling; experiments (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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