TYPING OF TERRIGENOUS RESERVOIR ROCKS USING THE CUMULATED CORRELATION METHOD AND INDIVIDUAL PROBABILISTIC MODELS ON THE EXAMPLE OF FIELD NAMED AFTER SUKHAREV

Abstract

The relevance of the study is caused by the need to improve the methods of typing reservoir rocks in interpretation of petrophysical data obtained in the laboratory. Typing of the reservoir rocks according to the structure of the pore space is an important step in the interpretation of petrophysical data obtained in the laboratory, but according to established practice, it is carried out only by an expert method, based on the lithological description of core samples and on the dependences of gas permeability on porosity. Purpose: approbation of the accumulated correlation method and individual probabilistic models in combination with facies analysis data for typing terrigenous reservoir rocks according to the structure of the pore space. Object: core samples from five wells of the field named after Sukharev, represented by deposits of the Tula horizon of the Visean stage of the Lower Carboniferous. When conducting research, 165 core samples were used, with a diameter and length of 30 mm. Methods: modern methods for studying porosity-permeability and lithological-petrographic properties, methods of mathematical statistics for the analysis of experimental studies. Results. It is shown that with the help of individual probabilistic models built as a function of the open porosity coefficient and taking into account information about the type of pore structure, lithology and facies, it is possible to characterize changes in dip angles and other effects identified on the graphs of the accumulated correlation in the entire range of calculations. It was established as well that the use of the accumulated correlation method in combination with individual probabilistic models and facies analysis data makes it possible to typing terrigenous reservoir rocks according to the structure of the pore space with a sufficiently high degree of reliability. On the basis of the linear discriminant analysis carried out, the practical problem of separation by reservoir type was solved for the C1tlter object of the field named after Sukharev. The obtained results show that the use of the principle of zoning when identifying reservoirs allows, with a high degree of accuracy, selecting a collection of samples for filtration studies that will most correctly reflect the physical and hydrodynamic picture of the reservoir.

Keywords

• samples of standard size
• reservoir rock
• reservoir properties
• reservoir type
• facies
• individual probabilistic models
• linear discriminant analysis