Crude oil industry remote monitoring and management based on Industrial Internet of things and edge computing integration: A comprehensive survey

IF 6 Q1 ENGINEERING, MULTIDISCIPLINARY Results in Engineering Pub Date : 2024-10-05 DOI:10.1016/j.rineng.2024.103034
Hazem Ramzey , Mahmoud Badawy , Adel A. Elbaset
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Abstract

Monitoring and management engineering technologies, as well as crude oil production, have recently advanced significantly. Technology advancements aside, monitoring, administration, wait times, and emergency response remain quite poor, especially for the crude oil production cycle, where real-time management and monitoring are difficult. Several methodologies and technologies utilized for continuously monitoring and managing crude oil manufacturing are analyzed in light of the integrating of the Industrial Internet of Things (IIoT) and Edge Computing (EC). The ultimate objective is to monitor and manage the whole value chain process to increase production dependability and availability and generate better economic products and services. This study goes over crude oil production guidelines and unresolved research difficulties. The IIOT and EC integration are viewed as a possible approach for establishing domestic services and corporate procedures for increasing crude oil production. One hundred eighty-eight relevant studies published between 2017 and 2023 were indexed in the WOS (Web of Science), SCOPUS, OnePetro, and IEEE Xplore databases. A survey based on a literature review showed 50 studies (selected from those studies through the literature review stages) and their architectures and frameworks to automate crude production to better monitor alerts and production control. This survey aims to provide a comprehensive overview of multiple studies to highlight the deficiencies in recent research and serve as a reference for subsequent endeavors to develop solutions for a straightforward process monitoring system. Such a system would empower process operators to promptly and effortlessly detect any sources of abnormality within the process.
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基于工业物联网和边缘计算集成的原油行业远程监控和管理:全面调查
最近,监测和管理工程技术以及原油生产都有了长足的进步。尽管技术进步了,但监控、管理、等待时间和应急响应仍然相当落后,特别是在原油生产周期中,实时管理和监控非常困难。本文结合工业物联网(IIoT)和边缘计算(EC),分析了用于持续监控和管理原油生产的几种方法和技术。最终目标是监控和管理整个价值链流程,以提高生产的可靠性和可用性,并创造更好的经济产品和服务。本研究探讨了原油生产准则和尚未解决的研究难题。IIOT 和欧共体一体化被视为建立国内服务和公司程序以提高原油产量的一种可行方法。WOS (Web of Science)、SCOPUS、OnePetro 和 IEEE Xplore 数据库收录了 2017 年至 2023 年间发表的 188 项相关研究。一项基于文献综述的调查显示,有 50 项研究(通过文献综述阶段从这些研究中选出)及其架构和框架实现了原油生产自动化,以更好地监控警报和生产控制。本调查旨在对多项研究进行全面概述,以突出近期研究的不足之处,并为后续开发直接流程监控系统解决方案的工作提供参考。这样的系统将使工艺操作人员能够及时、轻松地检测到工艺中的任何异常源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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