Testing the INSIM-FT Proxy Simulation Method

Mkhitar Ovsepian, Egor Lys, Alexander Cheremisin (), Stanislav Frolov, Rustam Kurmangaliev, Eduard Usov, Vladimir Ulyanov, Dmitry Tailakov and Nikita Kayurov
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Mkhitar Ovsepian: Petroleum Engineering, Skolkovo Institute of Science and Technologies, 121205 Moscow, Russia
Egor Lys: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Alexander Cheremisin: Petroleum Engineering, Skolkovo Institute of Science and Technologies, 121205 Moscow, Russia
Stanislav Frolov: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Rustam Kurmangaliev: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Eduard Usov: Department of Physics, Novosibirsk State University, 630090 Novosibirsk, Russia
Vladimir Ulyanov: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Dmitry Tailakov: Department of Physics, Novosibirsk State University, 630090 Novosibirsk, Russia
Nikita Kayurov: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia

Energies, 2023, vol. 16, issue 4, 1-16

Abstract: This paper describes testing of the INSIM-FT proxy simulation method (interwell-numerical-simulation model improved with front-tracking method) to assess the dependencies between production and injection wells, as well as to assess the forecast of oil/liquid production by wells depending on their operation parameters. The paper proposes the approach of taking into account the influence of various production enhancement operations. The method was tested on a synthetic hydrodynamic model and on a sector of a real field. The results show a good match between historical data and simulation results and indicate significant computational efficiency compared to classical reservoir simulators.

Keywords: proxy modeling; ES-MDA; history matching; reservoir optimization (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: 2023
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