Abstract
The possibility of artificial intelligence use for improvement of efficiency of development of hard-to-recover reserves in Russian oil and gas complex are considered in research article. The share of hard-to-recover reserves increases annually in cumulative oil production in the territory of the Russian Federation, therewith ups and downs of prices for oil well-known brands increase the risks of unforeseen costs and material losses when developing new reserves, that is why the authors establish a goal to analyze the efficiency of geological exploration and development of oil hard-to-recover reserves using artificial intelligence technologies and also based on the calculation of a comparative model for assessing the use of artificial intelligence on groups of fields of the Bazhenov formation. Artificial intelligence can have a beneficial effect on decrease of human error risk when selecting potential cased holes and facilitate in choosing the best methods of development and feed production stimulation. As a result of the comparative assessment of the return on investment in the development of wells using artificial intelligence and traditional technologies, the advantages and disadvantages of AI technologies were identified in the context of increasing the economic efficiency of hard-to-recover oil production.
Highlights
In the immediate future, hard-to-recover reserves of oil will form the basis of oil and gas production in Russia, hard-to-recover reserves of hydrocarbons exceeded 65% of total production level already in 2020, and according to the projections of experts of RF Ministry of Energy, their share will increase up to 80% at Russian fields by 2035
To decrease the production cost, Russian oil and gas companies carry out researches in the field of artificial intelligence, “Big Data” and “Blockchain” technologies use during geologic exploration, new fields’ developments and stimulation of production at current ones in purpose to exclude the “human error” factor and minimization of risks from economic losses from potentially illiquid fields and feed technologies optimization and production methods
The topic touched upon by the authors is relevant for improving the efficiency of the entire oil and gas industry in Russia, as well as the application of the results obtained in other countries of the world
Summary
Hard-to-recover reserves of oil (hereinafter referred to as “HTR”) will form the basis of oil and gas production in Russia, hard-to-recover reserves of hydrocarbons exceeded 65% of total production level already in 2020, and according to the projections of experts of RF Ministry of Energy, their share will increase up to 80% at Russian fields by 2035. The topic touched upon by the authors is relevant for improving the efficiency of the entire oil and gas industry in Russia, as well as the application of the results obtained in other countries of the world. To achieve the goal of the scientific research, the authors apply on: analysis of the current state of development and application of AI technologies in Russia and abroad; development of a method for assessing the effect of the use of digital initiatives; determining the necessary conditions for achieving economic feasibility and positive results of the introduction of artificial intelligence technologies which are the main tasks for assessing the economic efficiency of using artificial intelligence technologies in the production of hard-torecover hydrocarbons
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