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The article considers the problem of reducing the cost of heavy oil productions. A new approach, based on the intelligent analysis of successful events’ historical data of qualitative EOR application, is proposed. Based on database info analysis, the synthesis of a model, targeted to automated search of wells for EOR application, is worked out. The main data processing tool is a novel technology, based on neural network analysis techniques and evolutionary algorithms implementation. This approach allows selecting EOR in fuzzy, hardly formalized oilfield conditions and reduces the dependence on the human factor.

Using a dynamic model of technological processes to reduce the cost of heavy oil extraction