Нефтегазовые компании активно внедряют цифровые решения в свои логистические сети с целью оптимизации процессов и увеличения эффективности бизнеса. В рамках исследования были выявлены текущие задачи управления цепочками поставок в нефтегазовой отрасли и их потенциальные решения за счет использования цифровых технологий. В результате была разработана модель управления цепочками поставок нефтегазовой отрасли на основе блокчейн-технологий BCSCM O&G (Blockchain-based Oil and Gas Supply Chain Model) с применением смарт-контрактов и интернета вещей (IoT) (Internet of Things). Экспериментальное моделирование функционирования с имитацией работы IoT на различных этапах цепи поставок подтверждает потенциал для улучшения управления цепями поставок, обеспечивая прозрачность, надежность и оперативность получения результатов. Запись данных от IoT в блокчейн предоставляет участникам цепочки поставок доступ к точной и актуальной информации в режиме реального времени, что уменьшает риск допущения ошибок и число манипуляций. Смарт-контракты автоматизируют выполнение условий договоров, что способствует повышению эффективности и снижению затрат. Внедрение блокчейн-технологий в сочетании с IoT не только улучшает контроль процессов, но и позволяет формировать более безопасные и оптимальные цепочки поставок. Эти инновационные подходы ведут к пересмотру традиционных методов управления, создавая более устойчивые и конкурентоспособные модели, соответствующие требованиям современного рынка. Таким образом, цифровая трансформация управления цепочками поставок в нефтегазовой отрасли представляет собой важный шаг к повышению общей эффективности и устойчивости бизнеса.

One of the problems of the use of drum pelletizers in metallurgy is the lining wear, as well as the economic costs associated with it, including increased energy costs during operation and the need to periodically stop the units and then replace the lining. Most significantly the trajectory of particle motion affects the lining wear profile and wear intensity. It is assumed that during the implementation of the technological process, a monodisperse occurs, which has the greatest effect on the wear profile. In addition, the lining wear is influenced by the impact of particles at an acute angle, with a maximum impact caused by a collision at an angle of 39°18′. At present there are no universal solutions for determining the degree of lining wear in real time with a corresponding adjustment of the pelletizing process parameters. Creating a system for monitoring the lining wear is necessary for timely repair and maintenance of equipment to prevent an emergency situation, as well as increase the service life of the aggregates. This article proposes a concept of a method that allows to evaluate the trajectory of the charge during the technological process according to the coordinates of the movement and acceleration of the probe in the unit during the implementation of the technological process. The digitization and analysis of data obtained from the probe will allow to assess the integrity of the lining surface, the degree of lining wear and places with increased wear rate in real time with the possibility of adjusting technological processes to increase the lining service life. The obtained data will allow to clarify the computer model of the process by assessing the behavior of the charge in the unit and create a reserve for the further implementation of digital twin equipment.

The efficiency issue of energy systems in the oil and gas industry is a crucial factor nowadays. Energy share in the production costs of oil and gas can reach 50%. Among the most important energy equipment are the electric drives of the pumps, compressors, auxiliary units, etc. The paper considered the lifecycle of the electric drives used at oil and gas fields and evaluated their efficiency parameters during periods of operational wear or malfunctioning. At the same time, the lifecycle of the energy equipment was seen as its technical state during operation. Based on the spectral analysis of the current using the finite Fourier transform (FFT), the main frequency components were identified that characterize the type and level of malfunction, taking into account defined efficiency indicators of the electric drive. A technique for assessing the technical state of an electric drive was proposed based on the normalized levels of the amplitudes of the frequency components. Predictive management of the electric drive was implemented in terms of correcting the control system when a malfunction occurs, providing the required efficiency indicators. Boundaries for the technical state of the electric drive were determined. Recommendations for further operation, terms of maintenance and repair or preventive management were presented.