It was shown that the Leverett J-function and the Brooks-Corey correlating function approximate the capillary curves with insufficient accuracy and therefore do not allow us to obtain an analytical expression for the density distribution of pore channels by size. The polynomial approximation proposed makes it possible to sharply increase the reliability and accuracy of the capillary curves approximation. We obtained analytical expressions that allow to get a density distribution function of pore channels by size for known values of filtration-capacitive parameters (porosity, permeability, residual water saturation). It should be noted that the correlation between the distribution of the size of the pore channels and the porometric characteristics of the reservoir can be obtained according to the geophysical methods of well research.

For the conditions of an oil fields group characterized by an insufficiently high degree of oil reserves recovery, an algorithm for objects identifying using parameters characterizing the objects’ geological structure and having a predominant effect on the oil recovery factor is proposed. The proposed algorithm allows us to substantiate and use the analogy method to improve the oil production facilities management efficiency by targeted selection of the information about the objects and processes occurring in them, removing uncertainties in low density conditions, the emergence of real-time decision-making capabilities, determination of optimal ways of current problems solving, reducing the probability of erroneous decisions making, justifying the trend towards the goals achieving.

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The paper demonstrates that the hydrophilic behavior of productive formations is primarily determined by water retaining capacity. Especially it concerns reservoirs the water retaining capacity is greatly affected by variability of gel cement clay there may present correlational relationship between hydrophilic behavior and water retaining capacity of a productive reservoir.