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.
Currently, there is an opportunity to ensure digital transformation in the leading oil and gas companies in Russia. The main task of the transformation is to reduce capital and operating costs and increase production efficiency. The objects of transformation are processes, information, and people. Considering the existing technological and geological constraints for the Arctic fields, it is advisable to ensure the initial implementation of the principles of a digital intelligent field when creating control systems for wells and control production complexes. An important component is the development of an effective decision support system as a tool for calculating forecast tasks that provides strategic and tactical planning when modeling geological and technological processes online. The materials provide the structure of remote management of geographically distributed facilities of PJSC Gazprom, as well as solutions already implemented and confirmed the effectiveness of management for the Bovanenkovo oil and gas condensate field located in the Arctic on the Yamal Peninsula.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.