Collection and routing of data at remote oil well pad sites

UDK: 681.518:622.276

DOI: 10.24887/0028-2448-2025-9-101-107

Key words: well pad site, wireless sensor network (WSN), routing, clustering

Authors: A.N. Krasnov (Ufa State Petroleum Technological University, RF, Ufa); M.Yu. Prakhova (Ufa State Petroleum Technological University, RF, Ufa); Yu.V. Kalashnik (Ufa State Petroleum Technological University, RF, Ufa); E.V. Yudin (Gazprom Neft Companу Group, RF, Saint Petersburg); D.V. Usikov (NEDRA LLC, RF, Saint Petersburg); I.S. Gorobec (Research and Education Center Gazprom Neft – UGNTU, RF, Ufa) V.E. Chernyshov (Association «Digital Technologies in Industry», RF, Saint Petersburg)

The article is devoted to the issues of collection and routing of data at remote oil well pad sites. Many oil fields in the Russian Federation are located in remote and hard to reach areas, including the Arctic zone and offshore shelf. The lack of developed infrastructure limits the use of telemetry systems because of the difficulty of transmitting large streams of raw data to a remote data processing center, and thereby the high costs associated with establishing wired communication channels and powering them. One of the possible solution is to implement a wireless sensor network (WSN) consisting of intelligent sensors and of specialized edge devices, which would enable increased local data processing directly at well pad sites and low power consumption through data transmission algorithms that optimize network performance. In this paper, it is proposed by the authors that when building a WSN at well pad sites, a cluster‐based approach should be used based on some clustering algorithm. To derive practical recommendations, agent‐based simulation of six widely used clustering algorithms was performed. The values of the control metrics obtained in the study showed that the preference for a particular algorithm is determined by the target performance indicator of the WSN.

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