PROSPECTS FOR THE APPLICATION OF COMPLEX GEOLOGICAL AND PHYSICAL FACTORS FOR MODELING THE PRODUCTIVITY COEFFICIENT

The work is devoted to the scientific and methodological substantiation of the possibility of using complex geological and physical factors (CGF) to improve the efficiency of modeling the productivity coefficient, which is one of the most important parameters of field development and reflects the dynamics of reservoir processes in various aspects. The relevance of the research topic lies in the fact that at the moment one of the most important directions for the effective development of residual oil reserves is the improvement of intelligent computer modeling and design systems, in particular, the elimination of uncertainty caused by the processes of reorganizing mathematical dependencies when updating or clarifying certain data. Equally important is the fact that the effectiveness of interpreting data from geophysical and hydrodynamic studies is directly related to the availability of sufficient information about the patterns of change in various indicators, which in conditions of a limited amount of geological and field data requires the use of reference dependencies. Three basic parameters have been selected as variables forming the CGF, characterizing the thickness properties of the formation, which have a nonlinear trend of change within the object of study. For the considered algorithm for introducing CGF into the geological and statistical modeling procedure, testing was successfully carried out on deposits of the Volga-Ural oil and gas province, confined to the South Tatar arch, the Mrakovskaya, Belskaya and Yuryuzan-Sylvey depressions. The initial data consisted of fourteen parameters for more than 400 facilities, using which six groups were formed, a number of reference parameters were calculated and fifteen productivity coefficient models were differentiated depending on four levels of representativeness, which can be used to make managerial decisions in the field of control and regulation of oil production processes. With the help of the introduction of CGF on the thickness properties of the formation, a number of applied results were obtained and prospects for further development of this topic for other CGF were determined, the parameters of which have a significant impact on the stability and heterogeneity of models, which leads to the formation of a high level of uncertainty in solving field development problems.