LAPSE:2023.10343
Published Article
LAPSE:2023.10343
Testing the INSIM-FT Proxy Simulation Method
Mkhitar Ovsepian, Egor Lys, Alexander Cheremisin, Stanislav Frolov, Rustam Kurmangaliev, Eduard Usov, Vladimir Ulyanov, Dmitry Tailakov, Nikita Kayurov
February 27, 2023
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
ES-MDA, history matching, proxy modeling, reservoir optimization
Suggested Citation
Ovsepian M, Lys E, Cheremisin A, Frolov S, Kurmangaliev R, Usov E, Ulyanov V, Tailakov D, Kayurov N. Testing the INSIM-FT Proxy Simulation Method. (2023). LAPSE:2023.10343
Author Affiliations
Ovsepian M: Petroleum Engineering, Skolkovo Institute of Science and Technologies, 121205 Moscow, Russia [ORCID]
Lys E: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Cheremisin A: Petroleum Engineering, Skolkovo Institute of Science and Technologies, 121205 Moscow, Russia
Frolov S: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Kurmangaliev R: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Usov E: Department of Physics, Novosibirsk State University, 630090 Novosibirsk, Russia [ORCID]
Ulyanov V: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Tailakov D: Department of Physics, Novosibirsk State University, 630090 Novosibirsk, Russia
Kayurov N: Novosibirsk R&D Center LLC, 630090 Novosibirsk, Russia
Journal Name
Energies
Volume
16
Issue
4
First Page
1648
Year
2023
Publication Date
2023-02-07
ISSN
1996-1073
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Original Submission
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PII: en16041648, Publication Type: Journal Article
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LAPSE:2023.10343
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https://doi.org/10.3390/en16041648
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