第四次工业革命在油气工业中的应用综述

C. Temizel, C. H. Canbaz, Hakki Aydin, Bahar F. Hosgor, Deniz Yagmur Kayhan, Raul Moreno
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引用次数: 0

摘要

数字化转型是全球讨论最多的主题之一。未来十年,物联网、机器人、人工智能和其他先进技术联合部署所产生的颠覆性潜力预计将超过300万亿美元。随着这些技术的进步和实施,它们已经越来越广泛地应用于油气行业的各个方面。然而,由于它是石油行业中一个相对较新的领域,具有广阔的前景,整个行业仍在努力适应工业革命4.0。本文探讨了工业4.0给油气上游行业带来的价值。它描述了关键的工业4.0解决方案,并分析了它们在该细分市场中的影响。本文进行了全面的文献综述,从一开始就研究了工业革命4.0概念的发展,它所使用的技术,从其他行业转移过来的技术类型,具有更长的使用历史,这些方法在当前条件下在石油和天然气行业的稳稳性和适用性,以及它们根据油田类型提供的增量效益。真实的现场应用是通过世界不同地区的应用来说明的,讨论和总结了挑战、优势和缺点,从而得出了机器学习技术应用标准的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry
Digital transformation is one of the most discussed themes across the globe. The disruptive potential arising from the joint deployment of IoT, robotics, AI and other advanced technologies is projected to be over $300 trillion over the next decade. With the advances and implementation of these technologies, they have become more widely-used in all aspects of oil and gas industry in several processes. Yet, as it is a relatively new area in petroleum industry with promising features, the industry overall is still trying to adapt to IR 4.0. This paper examines the value that Industry 4.0 brings to the oil and gas upstream industry. It delineates key Industry 4.0 solutions and analyzes their impact within this segment. A comprehensive literature review has been carried out to investigate the IR 4.0 concept's development from the beginning, the technologies it utilizes, types of technologies transferred from other industries with a longer history of use, robustness and applicability of these methods in oil and gas industry under current conditions and the incremental benefits they provide depending on the type of the field are addressed. Real field applications are illustrated with applications indifferent parts of the world with challenges, advantages and drawbacks discussed and summarized that lead to conclusions on the criteria of application of machine learning technologies.
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