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This article continues a description of the methodological and technological aspects of the constructing physical-geological models of oil and gas promising regions with a help of the INTEGRO GIS tools. The methods are described on the materials of studying the deep structure of the Yenisei-Khatanga regional trough (YKRT). The first part of the article covered the stages of analysis of the spatial distributions of potential fields and integrated regional profile geophysical data. The present, second, part of the paper describes the process of the YKRT three-dimensional density model construction, which is based on the results of the previous analysis.

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In the case of seismic density modeling of sedimentary basins, it is necessary to exclude from the observed gravitational field the effect created by inhomogeneities of the lower part of the crustal section. The article offers one of the approaches to the geological field reduction, implemented through the construction of a 3D density model for the entire thickness of the earth's crust and upper mantle. A fragment within the study area is selected from the constructed 3D model and its gravitational effect is calculated. Various options for implementing this approach are considered, depending on the amount of a priori information. The technological base of the method is GIS INTEGRO. Keywords: Gravitational field, geologic reduction, density model, GSS profiles, inversion, structural framework of the model.

The work is devoted to the construction of a three-dimensional density model of the territory, which would not contradict the information obtained by other methods (drilling, seismic, etc.). A generalized scheme for constructing such a model is given, its stages and ways of matching with the results of other methods are described. The technology described in the work is based on the tools included in the GIS INTEGRO software package (FSBI "VNIGNI"). The article is illustrated with examples of the technology application in the construction of density models for various parts of the Volga-Ural oil and gas province. Key words: density modeling, 3D density model, inverse problem of gravity exploration, GIS INTEGRO.