Выпуск: 9 , Том: 63 , Год издания: 2022

The paper presents the results of the development and use of numerical methods for interpreting logging data in the Bazhenov Formation interval (Upper Jurassic). We consider wells located in the central and southeastern regions of West Siberia. Based on the machine learning method (artificial neural networks) and with the results of detailed lithological and geochemical core studies taken into account, a computational algorithm has been developed and tested to evaluate the material composition of the Bazhenov Formation rocks. In the studies we use the classification of the Bazhenov Formation lithotypes, which is based on the modern concept of the distribution of rock-forming mineral and mineraloid components. In the examined well sections, the lithologic composition of the Bazhenov Formation rocks has been determined, along with its lateral change in the central part of the Salym field, in the Surgut arch region, and in the southeast of West Siberia.