At the late stage of field development, residual oil reserves undergo a significant change from mobile to sedentary and stationary. These reserves are mainly located in technogenically and production altered, watered layers and areas of deposits.
Localization and development of such sources of hydrocarbons is an effective method of increasing the final oil recovery factor in mature fields, due to the presence of a ready-made developed infrastructure for production, transportation and refining, as well as the availability of highly qualified personnel.
This article considers an approach that allows, based on neural network algorithms, the estimation the volumes and localization of residual oil reserves in multi-layer deposits in combination with the analysis of geochemical studies of reservoir fluids. The use of machine learning algorithms allows a targeted approach to the development of residual reserves by automated selection of wellwork. This approach significantly reduces the manual labor of specialists for data processing and decision-making time.
Vladislav A. Sudakov – Deputy Director of the Institute for Innovations, Director of Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Rinat I. Safuanov – Researcher, Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Aleksey N. Kozlov – Junior Researcher, Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Timur M. Porivaev – Engineer, Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Artem A. Zaikin – Researcher, Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Rustam A. Zinykov – Junior Researcher, Hard-to-Recover Reserves Simulation Research and Educational Center, Institute of Geology and Petroleum Technology, Kazan Federal University
Bolshaya Krasnaya str., 4, Kazan, 420111, Russian Federation
Azat A. Lutfullin – Cand. Sci. (Engineering), Deputy Head of the Department of Field Development, Tatneft-Dobycha, Tatneft PJSC
Lenin str., 75, Almetyevsk, 423450, Russian Federation
Ildar Z. Farhutdinov – Head of Oil and Gas Fields Development Department, Tatneft PJSC
Telman str., 88, Almetyevsk, 423462, Russian Federation
Ilgiz Z. Tylyakov – Leading Specialist, Oil and Gas Fields Development Department, Tatneft PJSC
Telman str., 88, Almetyevsk, 423462, Russian Federation