The coefficient of oil displacement by water is a key parameter in the justification of oil recovery factors and the accompanying volumes of recoverable hydrocarbon reserves. For small or undeveloped fields, one has to deal with the problem of an insufficient number of laboratory experiments or their absence, which are necessary to assessment the oil displacement coefficient. This article proposes statistical models for calculating of oil displacement coefficients obtained by summarizing the results of the flux studies in the conditions of the Western Siberia oil fields. In the process of generalizing a large volume of experimental data, authors have proposed a method for estimating the coefficient of oil displacement by water without laboratory determination. Use of statistical models to estimate the coefficient of oil displacement by water is of interest since their construction takes into account various indicators characterizing the properties of the reservoir, reservoir fluids, displacement agent, etc. The advantages of the method also lie in the fact that it allows generalizing the available experimental data in a mathematical model. The proposed method for the conditions of Western Siberia oil fields is based on the use of data from previous studies to build statistical models for estimating the displacement coefficient using linear multidimensional regression equations. The method requires knowledge of filtering and capacitive parameters: porosity, permeability, initial oil saturation. For the design field development, the obtained analytical equations can be used to estimate the coefficient of oil displacement by water without its laboratory determination through core studies.
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