Lebedev M.V.

mvlebedev2@rn-gir.rosneft.ru



Graduated from Novosibirsk State University named after Lenin Komsomol (1985), specialization "Geochemistry".
PhD in Geology and Mineralogy.
Expert of RN-Geology Research and Development LLC, Tyumen.
Area of scientific interests: sequence stratigraphy, facies modeling, and resource estimation using probabilistic methods.
Author of 64 publications.
Geological simulation and issues of petroleum fields development
Article # 14_2026 submitted on 03/27/2026 displayed on website on 05/22/2026
27 p.
pdf Assessing the reliability of forecasts of productive units filtration and capacity properties based on seismic data
Assessing the reliability of seismic forecasts of reservoir filtration and capacity properties is a pressing problem of great practical importance, yet its theoretical foundations remain insufficiently developed. The objective of this research is to obtain an estimate based on a geostatistical approach to seismic data interpretation. The authors propose a new definition of the "degree of reliability of a seismic forecast" defined as the probability of the actual value of a geological parameter falling within a predetermined forecast corridor.
Using the geostatistical approach, a probability density function with a mathematical expectation is derived for each point in the study area. The obtained results are experimentally verifiable, allowing for the construction of a probability function for the number of successful test wells and the determination of its quantiles, such as P90, P50, and P10. If the actual number of successful test wells falls within the P90-P10 range, the reliability assessment is considered correct. The methodology is discussed using the example of forecasting the effective thickness of a productive units at a well-studied field in Western Siberia.

Keywords: seismic forecast reliability assessment, reservoir filtration and capacity properties, geostatistical approach, productive unit, Western Siberia.
article citation Lebedev M.V., Novokreschin A.V., Shamkina K.P., Medvedev S.B. Assessing the reliability of forecasts of productive units filtration and capacity properties based on seismic data. Neftegazovaya Geologiya. Teoriya I Praktika, 2026, vol. 21, no. 2, available at: https://www.ngtp.ru/rub/2026/14_2026.html EDN: MVTPMN
References
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   Dyubrul O. Using geostatistics for incorporating seismic data into geological models. Zeist: EAGE, 2002, 296 p. (In Russ.).
   Egorov S.V., Priezzhev I.I. Seismogeological modeling in order to determine the influence of the completeness of initial information and geological conditions on the result of forecast of poro-perm reservoirs properties. Neftegazovaya Geologiya. Teoriya I Praktika, 2020, vol. 15, no. 2, available at: http://www.ngtp.ru/rub/2020/14_2020.html (In Russ.). DOI: 10.17353/2070-5379/14_2020
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   Levyant V.B., Ampilov Yu.P., Glogovskiy V.M., Kolesov V.V., Korostyshevskiy M.B., Ptetsov S.N. Methodological recommendations for using seismic survey data (2D, 3D) for estimating oil and gas reserves. Moscow: CGE, 2006, 39 p. (In Russ.).
   Novokreschin A.V. Algorithms of structural modeling based on statistical models from well and seismic data. Abstract of the dissertation for the degree of Candidate of technical sciences. Novosibirsk, 2008, 21 p.(In Russ.). EDN: NQDLDD
   Pinchuk A.V., Pylyev E.A., Polyakov, E.E. Tvorogov M.A., Churikova I.V. Optimization of well‑cluster drilling at the Chayanda oil-gas condensate field based on joint analysis of seismic attributes and GIS using neural‑network algorithms. Geologiya nefti i gaza, 2022, no. 2, pp. 17-30. (In Russ.). DOI: 10.31087/0016-7894-2022-2-17-30
   Potapov D.V., Efremova E.I. Analysis of geological risks at the stage of reserves assessment in order to increase the asset development efficiency. Neftegazovaya Geologiya. Teoriya I Praktika, 2023, vol. 18, no. 1, available at: http://www.ngtp.ru/rub/2023/2_2023.html (In Russ.). EDN: GUATEE
   Priezzhev I.I., Egorov S.V., Schelkunov A.E. Quantitative forecast of maps of effective parameters of oil and gas productivity using seismic data with the help of deep neural networks. Geofizika, 2017, no. 6, pp. 2-9. (In Russ.).EDN: YQTZOY
   Putilov I.S., Seletkov I. A., Ladeyschikov S.V. New approaches to processing and interpreting of seismic data on the example of one of the oilfield of Arkhangelsk region. Geologiya, geofizika i razrabotka neftyanykh i gazovykh mestorozhdeniy, 2021, no. 2(350), pp. 31-37. (In Russ.).DOI: 10.33285/2413-5011-2021-2(350)-31-37
   Sysoyev A.P., Novokreshchin A.V. Statistical interpretation models based on the combination of seismic and well data. Geofizika, 2001, no. 1, pp. 31-41. (In Russ.). EDN:VCLRGH
Geological simulation and issues of petroleum fields development
Article # 38_2025 submitted on 07/31/2025 displayed on website on 10/09/2025
14 p.
pdf Assessing the probability of a gas accumulation in the Upper Cretaceous NB1 reservoir unit in the Nadym-Pur-Taz area
This paper study the existing probability of a gas accumulations in the Upper Cretaceous NB1 reservoir unit in the Nadym-Pur-Taz area of Western Siberia. The objective assessment of the probability of gas accumulation existing in the NB1 reservoir unit was addressed using a methodological approach based on stochastic modeling of reservoir parameters using their critical values. The key factors controlling the existence of gas accumulation in the NB1 reservoir unit are analyzed. It is concluded that the primary critical factor is the presence of an effective reservoir with a pore structure that does not impede gas accumulation and filtration.

Keywords: gas accumulation, NB1 reservoir unit, Upper Cretaceous, stochastic modeling of reservoir parameters, reservoir probability, Nadym-Pur-Taz area, Western Siberia.
article citation Glukhov T.V., Lebedev M.V. Otsenka veroyatnosti sushchestvovaniya zalezhey gaza v plaste NB1 verkhnego mela Nadym-Pur-Tazovskogo regiona [Assessing the probability of a gas accumulation in the Upper Cretaceous NB1 reservoir unit in the Nadym-Pur-Taz area]. Neftegazovaya Geologiya. Teoriya I Praktika, 2025, vol. 20, no. 4, available at: https://www.ngtp.ru/rub/2025/38_2025.html EDN: TJSVYQ
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