Proposed paper is devoted to the investigation of the relative permeability model and algorithm for relative permeability determination with log suite data. In practice it is used Burdine and Brooks-Corey model as the most common approximations of relative permeability curves. But these models describe laboratory core measurements data poor in the low relative permeability area. We obtained new analytical approximations for more detailed and accurate description of relative permeability curves and describe more than 160 core samples of Western Siberia Jurassic reservoirs (shaly sandstones) with it. Description results show that proposed model has better accuracy in comparison with known analogues. The curvature parameter of the new approximation has strong correlation with reservoir properties (effective porosity and dynamic porosity). This fact makes possible to predict relative permeability according to log data with high reliability. Relative permeability calculated according to log data can be used for prediction of the brine share in production volume with Leverett function and, as a consequence, has great practical importance for field development design.
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