Digital Twins In The Oil And Gas Industry: The Impact Of Different Data Transfer Protocols On Performance : научное издание

Описание

Тип публикации: статья из журнала

Год издания: 2025

Идентификатор DOI: 10.46544/AMS.v30i4.06

Ключевые слова: digital twin, oil and gas industry, Rest API, mqtt, webSocket, efficiency, reliability, real-time

Аннотация: As the global oil and gas industry moves towards achieving sustainable development climate goals, the role of hydrocarbon production optimization is increasing, facilitated by Industry 4.0 technologies such as digital twins. The quality of their operations is determined by several factors, including the speed and reliability of datПоказать полностьюa transfer. This makes it relevant to study the influence of the data transfer protocol choice on the efficiency of digital twins in the oil and gas industry. The purpose of the study is to compare three common approaches to data exchange (REST API, MQTT, and WebSocket) in the context of integrating a digital twin with real-time control systems. To achieve this goal, an experiment was conducted to measure the data transfer parameters of a digital twin of an oil and gas well using the REST API, MQTT, and WebSocket protocols, on an experimental stand that emulates the "smart well – cloud digital twin – mobile application" scenario. Technical implementation was carried out using the Java / Kotlin languages for the Android client (digital twin). The stand was used to analyze their efficiency, transmission reliability, and ability to operate in real time. As a result of the comparative experiment, it was found that protocols with a constant connection (MQTT, WebSocket) have significantly lower data delivery delays than the polling REST API, which directly affects the accuracy and relevance of the digital model. Based on this, the article provides recommendations for choosing a protocol depending on the required update efficiency, resistance to network failures, and device limitations.

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Издание

Журнал: Acta Montanistica Slovaca

Выпуск журнала: Т.30, 4

Номера страниц: 903-919

ISSN журнала: 13351788

Издатель: Technicka Univerzita v Kosiciach

Персоны

  • Zhironkin Sergey (T.F. Gorbachev Kuzbass State Technical University)
  • Abu-Abed Fares (Gulf University for Science and Technology)
  • Belova Anastasia (T.F. Gorbachev Kuzbass State Technical University)

Вхождение в базы данных

  • Ядро РИНЦ (eLIBRARY.RU)