Review of technologies for integrated processing of reinterpretation of well logging data for detailed dissection of the section and revaluation of hydrocarbon reserves

Abstract

Relevance. The article provides an introductory overview of the most famous domestic and foreign technologies and techniques for digitizing, detailed processing and comprehensive interpretation of log data recorded for the purpose of lithological dissection of the section and identification of productive rocks – reservoirs. Aim. Where the final result of interpretation and assessment of the reliability of the data obtained by comparison with the laboratory analysis of the core confirm that the interpretation of well logging results using modern technologies makes it possible to determine in more detail the geological characteristics and oil and gas saturation of the Lower Cretaceous terrigenous deposits of the Tersko-Sunzhensky oil and gas region. Methods. The main part contains the actual results of processing and reinterpretation of well logging data recorded opposite various deposits in different fields of a number of countries, the results of our own experience include the results of digitization, processing and reinterpretation of well logging data from stock materials on carbonate and terrigenous deposits of the Upper and Lower Cretaceous of the Tersko-Sunzhensky oil and gas region in the Gintel system. In the used technique, various algorithms, schemes for processing and interpreting well logging data are used, using a system of certain petrophysical models, stochastic relationships, quantitative and qualitative criteria and constraints. Results. At the same time, it considers the application for determining the properties of reservoir rocks as all known petrophysical models based on one- and two-component rock models (sandstones, clayey sandstones containing wet clay), and describes in detail the use of a system of petrophysical models describing a three-component model sandy-silty-clayey rock, which makes it possible to construct the structural-mineralogical and fluid models of the studied strata in full according to well logging data. The optimal choice of computational schemes and systems of petrophysical models and connections is determined in the process of adapting the technique to the specific geological conditions of the studied section.