«Problems of economics and management of oil and gas complex»

Studying the directions of the oil and gas complex development through the prism of "learning processes"

UDC: 330.3+338.2
DOI: -

Authors:

¹ Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
² National Research University Higher School of Economics, Moscow, Russia

Keywords: oil and gas complex, machine learning, artificial intelligence, innovation, economic frameworks, knowledge transfer, government agencies & institutions

Annotation:

In the oil and gas industry, data processing has always played and will continue to play a key role. However, their structure and quality change significantly over time. The importance of data that characterize technical and related management decision-making and implementation, reflecting institutional conditions and frameworks in different countries and activity spheres, is increasing rapidly. Due to the complexity of the real experiment on the institutional conditions influence on the process of certain decisions implementation, it is possible to apply approaches on the basis of "learning processes" – first on the basis of qualitative studying the directions of the studied objects development, and then machine learning models (MLM) and artificial intelligence (AI). In the authors opinion, the success of the application of new technological and organizational-economic approaches in the oil service sector is largely related to the development of scientific research, first of all of a complex nature; i.e., close interaction of both processes of new technologies development and determination of framework conditions of their effective application.

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