A.R. Mukhutdinov1, M.G. Efimov2, Yu.V. Yakovleva3

1-3 Kazan State Technological University (Kazan, Russia)

Formulation of the problem. The use of in situ combustion to increase the efficiency of the development of deposits with high-viscosity oil makes it possible to introduce into active industrial development already explored deposits containing oil that cannot be extracted from them by other methods. Increasing the efficiency of bituminous oil production is possible by optimizing the composition of combustible materials. The use of modern information technologies based on knowledge bases and opening up new opportunities in the development of previously unknown, promising combustible materials for the extraction of bituminous oil is an urgent task. Modern information technologies using experimental data make it possible to build intelligent software modules based on artificial neural networks. They allow you to identify new dependencies and patterns, as well as predict the characteristics of various processes. Promising methods for solving this problem include methods of experimental-theoretical, empirical and theoretical levels.

Target. Analyze the current state of the art in the application of thermal methods for bituminous oil production and build knowledge bases for optimizing the composition of combustible materials.

Main results. Considered domestic experience in the use of initiation of in-situ combustion. The advantages and disadvantages of thermal methods of oil extraction of high-viscosity oils are revealed. It is shown that in situ combustion has a number of advantages over other methods of enhanced oil recovery, the most important of which is the possibility of achieving higher oil recovery under various physical and geological conditions of oil deposits. The possibility of using the available experimental data given in the analysis of scientific literature to build knowledge bases in order to optimize the composition of combustible materials is shown. The use of effective technologies is possible only if there are developed knowledge bases. For this purpose, based on the analysis of structured information, two knowledge bases have been developed. Various formulations of energy-saturated combustible materials are considered.

Practical significance. The results obtained make it possible to create an artificial neural network capable of finding the optimal composition of the combustible material, which will increase the maximum heating temperature of the bituminous reservoir in order to increase oil recovery.

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