This paper poses and solves the problem of using artificial intelligence methods for processing large volumes of geodata from geological and technological measurement stations in order to identify and predict complications during well drilling. Digital modernization of the life cycle of wells using artificial intelligence methods, in particular, helps to improve the efficiency of drilling oil and gas wells. In the course of creating and training artificial neural networks, regularities were modeled with a given accuracy, hidden relationships between geological and geophysical, technical and technological parameters were revealed. The clustering of multidimensional data volumes from various types of sensors used to measure parameters during well drilling has been carried out. Artificial intelligence classification models have been developed to predict the operational results of the well construction. The analysis of these issues is carried out, and the main directions for their solution are determined.
The article analyzes the technical and regulatory restrictions that complicate the production of hydrocarbons at the final stage of operation, as well as the directions of resource and innovative development of the fuel and energy complex in the context of sanctions and restrictions in the development of national priorities. The features of regulatory regulation of legislation and indicators of digital transformation for previously developed fields and the preservation of hydrocarbon markets, the development of national economies in the long term, taking into account the widespread use of intelligent technologies and digital platforms, are considered. Taking into account the technological advantages, it is recommended to ensure the digitalization of oil and gas wells using fiber-optic technologies and the creation of intelligent wells and fields on this basis, which, in conditions of limited funding, will ensure an increase in recoverable gas and oil production reserves of at least 10% during operation, a reduction in well downtime of about 50 % of the initial level and a reduction in operating costs of about 10-25 %. Keywords: inovation; regulation; digital economy; transformation; modeling; intelligent technology; digital platform.
The development of the digital transformation of the gas industry in the Russian Federation is mainly aimed at unique and giant fields. These fields provide the leading position of Russia in the world gas market and about 85 % of the total volume of gas production. The regulatory and technical base, the composition of the existing standards allows us to move to the practice of introducing digital gas technologies. The creation of a unified integrated model is being completed at the Bovanenkovo field. The creation of a digital twin of a unique gas field represents the transfer of a real field into virtual space through the use of Big data analytics and supercomputer technologies.
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