Dynamic analysis capabilities for predicting reservoir propagation with a low seismic data maturity
https://doi.org/10.51890/2587-7399-2025-10-3-14-27
Abstract
Introduction. Dynamic analysis is an important tool for reservoir properties prediction. Usage of its results is tied to the quality of the initial seismic data. If there are several seismic surveys with various processing graphs, it is necessary to normalize signal amplitudes values.
Aim. The aim of the work is dynamic analysis results adaptation (based on seismic surveys from different years) to predict the perspective turbidite fans’ boundaries within the Achimov complex interval.
Materials and methods. An experiment with seismic attributes normalizing was conducted to identify the optimal solution for reservoir forecasting for three different layers, depending on a set of factors on one of the oil fields in Yamalo-Nenets Autonomous District. The quality control was based on the identified anomalies (conducted by normalized attributes) verification with well data, as well as 3D seismic data at a neighboring site.
Results. Based on the experiment results, optimal parameters for the attributes normalization within the framework of dynamic analysis were found in order to obtain a qualitative & quantitative reservoir distribution forecast within the Achimov formation in conditions of limited geophysical data maturity. According to the results of obtained maps comparison with the calculated attributes within the arrays of 3D cubes in the neighboring area, the attribute anomalies on the map correspond to the conceptual continuation of the turbidite fans, clearly expressed in the wave pattern in 3D seismic data (common depth point).
Conclusion. Proper attributes selection and amplitudes normalization during dynamic analysis in conditions of limited study allows obtaining a geobodies propagation forecast, which is compared with the conceptual representation, borehole data and anomalies obtained at a neighboring 3D seismic data. Some recommendations for attributes normalization for various external factors have been developed.
About the Authors
Ivan A. Perepletkin
Gazprom neft companу group; Novosibirsk State University
Russian Federation
Russian Federation
Ivan A. Perepletkin — Chief specialist; Engineer
AuthorID: 962435
Scopus: 57205282863
3–5, Pochtamtamtskaya str., 190000, Saint Petersburg;
2, Pirogov str., 630090, Novosibirsk
Mariia S. Kosmacheva
Gazprom neft companу group
Russian Federation
Russian Federation
Maria S. Kosmacheva — Chief specialist
Saint Petersburg
References
1. 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’. Professional’no o nefti [PRONEFT. Professionally about oil]. 2024, vol. 9, no. 3, pp. 6–16. (In Russ.)
2. Gibaev E.R., Kosmacheva M.S., Perepletkin I.A., Osadchiy D.E. Use of complex attrubute analysis as a faults’ detection instrument to localize tectonic traps. PROneft’. Professional’no o neft i [PRONEFT. Professionally about oil]. 2024, vol. 9, no. 4, pp. 30–37. (In Russ.)
3. Kopilevich E.A., Surova N.D. Methodology for Regional 3D Prediction of Reservoir Capacitive Properties Based on 2D Seismic Data. Geofizika [Geophysics]. 2015, no. 1, pp. 2–9. (In Russ.)
4. Ptetsov S.N. Prognozirovaniye svoystv kollektorov mezhdu skvazhinami po seysmicheskim dannym [Forecasting reservoir properties between wells based on seismic data]. Doctoral Thesis. Moscow: Moscow State University. 2003. 348 p. (In Russ.)
5. Gutman I.S. Comprehensive substantiation of Upper Jurassic Bazhenov formation anomalous sections tectonic nature and the Lower Cretaceous Achimov formation of Western Siberia. Part 1. Anomalous sections of the Upper Jurassic Bazhenov formation and the Lower Cretaceous Achimov formation. Aktual’nyye problemy nefti i gaza [Actual problems of oil and gas]. 2019, vol. 3, issue 26, 27 p. (In Russ.)
6. Bespalova E.B. Prognozirovaniye zalezhey nefti v undaformennoy chasti neokomskikh otlozheniy Nadymskoy megavpadiny Zapadnoy Sibiri Oil [Deposits Prediction in the Undaform Part of the Neocomian Deposits in the Nadym Megavallee, Western Siberia]. PhD Thesis. Moscow: VNIGNI, 2005. 150 p. (In Russ.)
7. Antipina M., Perepletkin I., Kuznetsov V. Use of 3C 2D seismic technology to identify oil-bearing reservoirs. 2018 SEG International Exposition and Annual Meeting. 2019. Pp. 2461–2465.
Review
For citations:
Perepletkin I.A., Kosmacheva M.S. Dynamic analysis capabilities for predicting reservoir propagation with a low seismic data maturity. PROneft. Professionally about Oil. 2025;10(3):14-27. (In Russ.) https://doi.org/10.51890/2587-7399-2025-10-3-14-27
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