Digitalization of adjustment and maintenance processes for optimizing energy consumption in the oil and gas sector
Автор: Stepanov M.
Журнал: Бюллетень науки и практики @bulletennauki
Рубрика: Технические науки
Статья в выпуске: 11 т.10, 2024 года.
Бесплатный доступ
This article examines the impact of digitalization on adjustment and maintenance processes in the oil and gas sector aimed at optimizing energy consumption. Modern technologies such as big data analysis, the Internet of Things (IoT), and Machine Learning (ML) algorithms are discussed, highlighting how they assist companies in reducing energy consumption and enhancing operational efficiency. Examples of the implementation of these solutions in major companies are provided, demonstrating significant reductions in energy costs and equipment downtime. The advantages of contemporary approaches over traditional adjustment and maintenance methods are emphasized.
Digitalization, oil and gas sector, energy consumption, optimization, big data, maintenance, sustainable development
Короткий адрес: https://sciup.org/14131417
IDR: 14131417 | DOI: 10.33619/2414-2948/108/16
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