For dynamic modeling, a block of the Bureikinskoye high-viscosity oil field was selected. The producing Bobrikovskian formation comprises high-permeability sandstone characterized by non-uniform lithological and physical properties, multilayering, widely-changing crude oil properties. The paper presents description of geological setting and averaged poroperm properties, as well as the analysis of the production performance. The FlowER propriety program package was used for model building and automatic production history matching. The history match results demonstrate adequate quality of the simulation model and its applicability for prediction calculations of surfactant-polymer flooding and optimization of the ongoing project. Simulation flooding optimization experiment is described at length. Operation modes of producing and injection wells for the 10-years’ forecast period were selected using the FlowER module of automatic synthesis of optimal control. As a target function for optimization of the surfactant-polymer flooding, maximization of oil production at minimum injection volumes of chemical agents and water was used. Two strategies of surfactant-polymer flooding, with “low” and “high” saving of chemical agents, and two sets of injection wells were considered. In the course of synthesis, the best set of injection wells, optimal injection period, and optimal injection volumes were selected based on production and economic performance analysis. It is critical to perform laboratory studies using actual field samples prior to field application of surfactant-polymer flooding. The authors give practical recommendations on laboratory experiments and integration of their results into modeling.
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