The work is devoted to the creation of scientific and methodological foundations for studying fracturing of carbonate reservoirs of the Tournai-Famennian age as part of the implementation of deep identification of objects. The object of the study is the deposits of carbonate reservoirs, information on which was obtained as a result of generalization of data from the operation of more than 300 wells for various purposes. As part of the research, it was found that the fracturing of the objects under consideration is unevenly distributed over the territory of the occurrence of deposits, which complicates the modeling processes and, consequently, the adoption of various management decisions aimed at improving the efficiency of oil production. Using image recognition methods, a unique system has been created that makes it possible to evaluate the fracturing of objects when analyzing coefficients before parameters reflecting various properties of productive formations and their saturating fluids. Comparison of the obtained results with the data of geophysical and hydrodynamic studies shows a high level of coincidence of experimental and actual indicators, which is an integral part of the development of advanced methods of computer modeling and design of oil production processes. In conclusion, the trend of development of this topic is defined in terms of increasing the efficiency of management decision-making processes to improve the technological performance of oil production.