In old oil-producing provinces such as Samara region, characterized by a high degree of geological and geophysical knowledge, the issue of replenishing the resource base is especially relevant. This is due, on the one hand, to the depleting reserves of long-discovered and developed deposits, and, on the other, to the low chances of discovering new large accumulations. There is a need to reduce financial costs for geological exploration, which can quite realistically be achieved by conducting additional study of already discovered and developed oil deposits that were put on the balance sheet with a conditional calculation level, in other words, deposits in which the oil-water contact level has not been exposed by any well. A well-formed database of filling coefficients, combined with the identified main dependencies of various levels of occupancy of traps, will make it possible to identify priority objects for additional study with potential prospects for lowering the levels of oil-water contacts in certain fields. Another aspect of the work being carried out is the identification of key factors affecting oil systems in the process of their accumulation and preservation, with the aim of subsequently creating local probabilistic and statistical models of oil and gas content, capable of dividing promising objects into water- or oil-saturated ones in the studied area.
References
1. Kontorovich A.E., Demin V.I., Strakhov I.A., The law of the «geological exploration filter» in the search for hydrocarbon deposits (In Russ.), Sovetskaya geologiya, 1987, no. 6, pp. 6–13.
2. Kontorovich A.E., Demin V.I., Strakhov I.A., Patterns of identification of oil and gas deposits with different reserves in oil and gas basins (In Russ.), Geologiya i geofizika, 1985, no. 11, pp. 3–16.
3. Dolson J., The basics of traps, seals, reservoirs and shows, In: Understanding Oil and Gas Shows and Seals in the Search for Hydrocarbons, Switzerland: Springer International Publishing, 2016, pp. 47-90, DOI: http://doi.org/10.1007/978-3-319-29710-1_2
4. Shadrin A.O., Krivoshchekov S.N., Prediction of oil occurrence using structural parameters of YuS1 reservoir in the northern part of Surgut Arch: development of probabilistic-statistical models (In Russ.), Geologiya nefti i gaza = Oil and gas geology, 2022, no. 2, pp. 53–65, DOI: https://doi.org/10.31087/0016-7894-2022-2-53-65
5. Krivoshchekov S.N., Galkin V.I., Volkova V.S., Development of a probabilistic-statistical method for forecasting the oil and gas potential of structures (In Russ.), Neftepromyslovoe delo, 2010, no. 7, pp. 28–31.
6. Sosnin N.E., Development of statistical