No.1(45),2026 PP.146-172

Neftyanaya provintsiya No. 1(45), 2026

Using multivariate modeling approach in gas field development project optimization at the example of Megion formation deltaic deposits

T.E. Topalova, A.Y. Popov, A.A. Snokhin, D.A. Kychkin, S.A. Klimov
DOI: https://doi.org/10.25689/NP.2026.1.146-172

Abstract

The article describes a methodology for interactive new gas field development project optimization based on detailed lithological and seismogeological analysis, stochastic multivariate modeling and adaptation of the horizontal wells drilling scheme to the reservoir geological features complexity. The use of the suggested approach has made it possible to improve the new wells production rates and increase the final gas extraction ratio in relevance to the previously accepted project design document. As the part of optimization task solving, a sedimentological description of the core, a seismic and facies analysis were performed, a detailed correlation of the wells section was carried out, and three variants of the conceptual model corresponding to the quantiles P90, P50, and P10 were substantiated. The subsequent production performance of the designed horizontal wells sensitivity to the gas reservoir features uncertainties analysis allowed us to select from several hundred realizations the most probable and geologically justified hydrodynamic model. The correctness of the chosen reservoir model simulation was verified by production rates assessment.

Key words:

gas field, core, facies, sedimentary rock, seismic attribute, conceptual model, geological model, uncertainty, sensitivity analysis, hydrodynamic model

References

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Authors

T.E. Topalova, Candidate of Geological and Mineralogical Sciences, manager,
RN –Geology Research and Development LLC
79/1 Osipenko St., Tyumen, 625002, Russian Federation
E-mail: tetopalova@rn-gir.rosneft.ru

A.E. Popov, Chief Specialist, RN –Geology Research and Development LLC
79/1 Osipenko St., Tyumen, 625002, Russian Federation
E-mail: aepopov@tnnc.rosneft.ru

A.A. Snokhin, Deputy General Director – Chief Geologist, Kynsko-Chaselskoye Neftegaz LLC
14 50 let Oktyabrya St., Tyumen, 625048, Russian Federation
E-mail: SnohinAA@kchn.ru

D.A. Kychkin, Manager, RN –Geology Research and Development LLC
79/1 Osipenko St., Tyumen, 625002, Russian Federation
E-mail: dakychkin@rn-gir.rosneft.ru

S.A. Klimov, Manager, RN –Geology Research and Development LLC
79/1 Osipenko St., Tyumen, 625002, Russian Federation
E-mail: saklimov3@rn-gir.rosneft.ru

For citation:

T.E. Topalova, A.Y. Popov, A.A. Snokhin, D.A. Kychkin, S.A. Klimov Ispol'zovaniye mnogovariantnogo modelirovaniya dlya optimizatsii proyekta razrabotki gazovoy zalezhi v del'tovykh otlozheniyakh megionskoy svity [Using multivariate modeling approach in gas field development project optimization at the example of Megion formation deltaic deposits]. // Neftyanaya Provintsiya, No. 1(45), 2026. pp. 146-173. DOI https://doi.org/10.25689/NP.2026.1.146-172. EDN EDFFEA (in Russian)

© Non-governmental organization Volga-Kama Regional Division of the Russian Academy of Natural Science, 2015-2026 All the materials of the journal are available under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)

Using multivariate modeling approach in gas field development project optimization at the example of Megion formation deltaic deposits T.E. Topalova, A.Y. Popov, A.A. Snokhin, D.A. Kychkin, S.A. Klimov DOI: https://doi.org/10.25689/NP.2026.1.146-172

Key words: gas field, core, facies, sedimentary rock, seismic attribute, conceptual model, geological model, uncertainty, sensitivity analysis, hydrodynamic model

Using multivariate modeling approach in gas field development project optimization at the example of Megion formation deltaic deposits

T.E. Topalova, A.Y. Popov, A.A. Snokhin, D.A. Kychkin, S.A. Klimov
DOI: https://doi.org/10.25689/NP.2026.1.146-172

Key words:

gas field, core, facies, sedimentary rock, seismic attribute, conceptual model, geological model, uncertainty, sensitivity analysis, hydrodynamic model