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.

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.

ExtEndEd AbstrAct:The displacement factor is important information when it is necessary to evaluate oil production dynamics and the prospects of development intensification and oil recovery enhancing methods, including nanotechnological methods. However, up to date there are no reliable oil-field methods to predict this parameter in situ well, under conditions of the natural reservoirs occurrence, and that causes this important parameter not to be taken into account when the impact on the bottomhole formation zone effectiveness is evaluated.In this paper the authors propose a methodology for prediction of the displacement factor that employs field geophysics data and that makes it possible to estimate this parameter in each geological cross-section both in the section and in the deposit area.The method is based on the use of two complex parameters characterizing the filtration properties and the productive formation hydrophilicity (hydrophobicity) degree. The both complex parameters are easily determined by the standard well logging complex data. MAchinE-rEAdAblE inforMAtion on cc-licEnsEs (htMl-codE) in MEtAdAtA of thE pApErReferences: At present the technologies that use solutions containing SiO 2 nanoparticles are becoming more and more popular in oil production intensification and enhanced oil recovery process.The proposed calculation method for residual oil saturation and displacement coefficient can be used to obtain the reference values of the corresponding parameters when the efficiency of oil production intensification and enhanced oil recovery methods including nanotechnological ones is evaluated.

This paper considers issues in approximation of capillary curves under conditions of producing reservoirs of Western Siberia. Brooks-Corey model was selected as the main function for the approximation. For each experimental capillary measurements curve, values of parameters characterizing steepness and initial capillary pressure were obtained by statistical treatment. It has been revealed, that the values of capillary curve parameters are largely determined by such properties of reservoirs as absolute permeability and residual water saturation. By analysis of laboratory capillary curves for samples from a deposit in Western Siberia, application area of Brooks-Corey formula was determined: this model allows approximating capillary curves with accuracy sufficient for practical use only in reservoirs with average or high permeability (Кp>0.1 micron 2 ). This is due to the model under consideration describing only plateau-like section of the capillary curve when the parameters values are unchanged. If the rock has a large number of microcapillaries, the curve approaches the vertical asymptote gradually on a long interval of current water saturation values and ends only at comparatively high values of capillary pressure. Thus, in lowpermeability collectors, the accuracy of approximation dips down, requiring application of other, more complex models

A b s t r a c tThe analysis of geological -physical and physical -chemical properties of productive reservoirs and fluids was made. Grouping of objects was done and the centers of grouping were defined, the adjacent objects were selected for carrying out further research. The analysis of geological features of various groups of objects allowing planning actions for improvement of development system for the purpose of oil recovery increase was carried out. The optimum complex of technologies of oil recovery increase and decrease in water content differentially on the allocated groups of fields was recommended. It was offered to apply the recommendations for objects of each of the selected groups.