Improving the system for evaluating the economic efficiency of hydraulic fracturing
Автор: Latypov A.R., Burenina I.V.
Журнал: Вестник Алтайской академии экономики и права @vestnik-aael
Рубрика: Экономические науки
Статья в выпуске: 10-2, 2024 года.
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At the present stage, the oil and gas industry still forms the basis for replenishing the budget treasury. At the same time, the strategic task of the oil and gas industry is the uninterrupted and full-fledged operation of all fields in order to strengthen competitive positions. The most pressing problems in the development of fields are the development of fields with hard-to-recover reserves, which is impossible without formation stimulation tools. So, in this matter, hydraulic fracturing is the most cost-effective, which has proven itself as one of the most effective well completion tools. This article discusses two key aspects, the first is the use of neural connections in the issue of oil and gas engineering, and the second is the use of more highly efficient consumables. Both of these tools will increase the economic efficiency of hydraulic fracturing.
Hydraulic fracturing, guar, artificial intelligence, neural communication, polyacrylamide, random forest
Короткий адрес: https://sciup.org/142242795
IDR: 142242795 | DOI: 10.17513/vaael.3801