Vol. 337 No. 6 (2026)
DOI https://doi.org/10.18799/24131830/2026/6/5274
Net pay volume probabilistic assessment approaches for lithologically screened traps using the example of Achimov deposits in the northern part of Yamalo-Nenets Autonomous District
Relevance. When conducting a probabilistic assessment of the initial geological reserves with complicated structure, such as the Achimov deposits, it is necessary to take into account a set of uncertainties related to their geological structure. Aim. Achimov deposits probabilistic assessment, taking into account a set of uncertainties related either to sedimentary bodies mapping or geophysical methods technical limitations. Methods. The article describes an integrated technique of multivariate two-dimensional modeling, which is adapted to account for uncertainties at three main stages of mapping: structural plan construction, effective volume prediction, and fluid-saturated volume prediction, using the example of a field in the Nadym district of the Yamalo-Nenets Autonomous Okrug. Results and conclusions. The proposed methodological approaches for 2D probabilistic assessment made it possible to obtain maps reflecting the main features of the geological structure, particularly, facies differentiation & lithological heterogeneity in the lateral direction. The obtained maps can be used for conducting analytical calculations for assessing development strategy in further stages of the asset assessment.
For citation: Perepletkin I.A., Zaboeva A.A., Muzraeva B.Yu. Net pay volume probabilistic assessment technique for lithologically screened traps using the example of Achimov deposits in the northern part of Yamalo-Nenets Autonomous District. Bulletin of the Tomsk Polytechnic University. Geo Assets Engineering, 2026, vol. 337, no. 6, pp. 7-24. https://doi.org/10.18799/24131830/2026/6/5274
Keywords:
probabilistic assessment, Achimov deposits, multivariate modeling, lithologically screened deposits, geological risks and uncertainties
References:
1. Rose P.R. Risk analysis and management of petroleum exploration ventures. AAPG Methods in Exploration Series, 2001, vol. 12, 164 p.
2. Esiri A., Jambol D., Ozowe C. Enhancing reservoir characterization with integrated analysis and geostatistical methods. Journal of Multidisciplinary sciences, 2024, vol. 6, 12 p.
3. Zaboeva A.A., Zverev K.V., Generalenko O.S. Microheterogeneity influence of Achimov deposits on production technology characteristics. EAGE Saint Petersburg 2020. Geosciences: Transforming knowledge to resources. 9th geology & geophysics conference expanded abstracts. St Petersburg, 2020. 6 p. (In Russ.)
4. Charles J.G. Experience with the quantification of subsurface uncertainties. SPE Asia Pacific Oil and Gas Conference and Exhibition Proceedings, 2001, 17 p.
5. Lia O., More H., Tjelmeland L., Holden T. Uncertainties in reservoir production forecasts. AAPG Bulletin, 1997, no. 5, pp. 775–802.
6. Pyrcz M., Deutsch C. Geostatistical reservoir modeling. London, Oxford University Press, 2014. 449 p.
7. Bukatov M.V., Peskova D.N., Nenasheva M.G. Key problems of Achimov deposits developmenton the different scales of studying. PROneft, 2018, vol. 2, pp. 16–21. (In Russ.)
8. Belozerov B.V., Butorin A.V., Kaigorodov S.V., Faizov R.Z. Practical tips for 3D geological modeling. 2nd ed. Izhevsk, Institute of Computer technologies Publ., 2018. 424 p. (In Russ.)
9. Prelat A., Covault J.A., Hodson D.M., Fildani A., Flint S.S. Intrinsic controls on the range of volumes, morphologies, and dimensions of submarine lobes. Sedimentary Geology, 2010, vol. 232, pp. 66–76.
10. Shanmugam G. Submarine fans: a critical retrospective. Journal of Paleogeography, 2016, no. 2, pp. 110–184.
11. Achimov horizons. Special project of Gazprom Neft and Neftegaz.RU. Available at: https://achimovka.neftegaz.ru/?ysclid=lvanog4eg5767135808 (accessed 15 August 2025).
12. Musikhin A.D., Mingazova D.I., Baykov R.P., Viktorova E.M., Kiselev P.Yu., Telnova K.S. New way to estimate resource potential at a low exploration maturity. PRONEFT. Professionally about oil, 2024, vol. 9 (2), pp. 27–33. (In Russ.)
13. Corbett P. Modelling and management course manual. Edinburgh, Heriot-Watt-University, 2017. 398 p.
14. Decision of the 6th Interdepartmental Stratigraphic Meeting on the review and adoption of updated stratigraphic schemes of Mesozoic deposits of Western Siberia. Novosibirsk, SB RAS, 2003. 5 p.
15. Van Wagoner J.C., Mitchum R.M., Campion K.M, Rahamanian V.D. Siliclastic Sequence Stratigraphy in Well Logs, cores and outcrops. AAPG Methods in Exploration, 1990, vol. 7, pp. 55.
16. Pallav S., Wen C.H., Jiang X. Selecting representative models from a large set of models. SPE Annual Conference and Exhibition Proceedings, 2013, 5 p.
17. Nezhdanov A.A. Seismic & geological analysis of the oil-and-gas-bearing deposits of Western Siberia for forecasting and mapping of non-anticlinal traps and hydrocarbon deposits. Dr. Diss. Tyumen, 2004. 318 p. (In Russ.)
18. Reading H.G., Richards M. Turbidite system in deep-water basin margins classified by grain size and feeder system. AAPG Bulletin, 1994, vol. 78, pp. 792–822.
19. Olneva T.V. Diagnostics of morphogenetic types of paleochannels based on seismic image parameterization. Geophysics, 2022, vol. 2, pp. 17–25.
20. Abreu V., Sullivan M., Pirmez C, Mohrig D. Lateral accretion packages (LAPs): an important reservoir element in deep water sinuous channels. Marine and Petroleum Geology, 2003, vol. 20, pp. 631–648.
21. Strebelle S. Conditional simulation of complex geological structure using multi-point statistics. Mathematical Geology, 2002, vol. 14, pp. 1–22.
22. Janocko M., Nemec W., Henriksen S., Warchol M. The diversity of deep-water sinuous channel belts and slope valley-fill complexes. Marine and Petroleum Geology, 2013, vol. 41, pр. 7–34.
23. Perepletkin I.A., Alekhin I.I., Viktorova E.M., Mingazova D.I., Zaboeva A.A., Muzraeva B.Yu., Mechsheryakova A.S. Best practices for probabilistic assessment of non-structural objects depending on the degree of geological exploration (based on the example of Achimov deposits). Geomodel 2024. 26th conference on geological exploration of oil and gas fields. Moscow, 2024. pp. 22–26. (In Russ.)
24. Alekhin I.I., Perepletkin I.A., Meshcheryakova A.S., Savchenko P.D., Muzraeva B.Yu., Mingazova D.I., Viktorova E.M., Tolmachev E.O. Reserves probabilistic assessment approach involving quantitative geological risks accounting for Achimov deposits with low exploration maturity. PRONEFT. Professionally about oil, 2024, vol. 9 (3), pp. 6–16. (In Russ.)
25. Alekhin I.I., Perepletkin I.A., Meshcheryakova A.S. A method for structural framework variation of a multilayer field associated with complicated geology. Actual Problems of Oil and Gas, 2024, vol. 15, no. 2, pp. 122–140. (In Russ.)
26. Perepletkin I.A., Zaboeva A.A., Muzraeva B.Yu.,Alekhin I.I., Viktorova E.M. Probabilistic assessment of Achimov deposits taking into account geological features of conceptual model Geomodel 2024. 26th conference on geological exploration of oil and gas fields. Moscow, 2024. pp. 17–21. (In Russ.)
27. Zavala C., Arcuri M. Intrabasinal and extrabasinal turbidites: origin and distinctive characteristics. Sedimentary Geology, 2016, vol. 337, pp. 36–54.
28. Dubrule O. Geostatistics in petroleum geology. AAPG Continuing Education Course, 1998, Notes Series 38, 138 p.
29. Zagranovskaya D.E. Determination of the geological success of the project for hydrocarbon deposits of unconventional reservoirs. Unconventionals-2023. A new experience. Proceedings of the 4th specialized scientific & practical workshop. Moscow, 2023. pp. 39–42.
30. Guidelines for Forming a Conceptual Framework for Major Exploration Projects. St Petersburg, Gazprom Neft PJSC Publ., 2022. 103 p.


