Applications of AI in Oil Well Surveillance

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Abstract

the oil industry is one in constant need of development and technological advancement. Declining oil field productivity as well as volatile oil prices, particularly after the last market crash, will always put pressure on the entire industry to innovate continuously. Although active applications of AI and 4.0 practices are considered relatively behind other industries, there are a few fields in which the oil industry can benefit from AI and the latest in 4.0 advancements. Particularly in the field of oil well surveillance, an innovative approach to diagnosing oil well problems was discovered only two years ago. By treating these wells chemically, millions of dollars in revenue have been gained at a negligible cost, and AI is being used to understand how it all works. This paper will discuss in detail the added value of automation, innovation in well surveillance, and the use of machine learning algorithms to improve our management of oil well emulsions.
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人工智能在油井监控中的应用
石油工业是一个需要不断发展和技术进步的行业。油田产量的下降以及油价的波动,特别是在上次市场崩溃之后,将一直给整个行业带来持续创新的压力。尽管人工智能和4.0实践的积极应用被认为相对落后于其他行业,但石油行业可以从人工智能和4.0的最新进展中受益。特别是在油井监测领域,仅在两年前就发现了一种诊断油井问题的创新方法。通过化学处理这些井,以微不足道的成本获得了数百万美元的收入,而人工智能正在被用来理解这一切是如何工作的。本文将详细讨论自动化的附加价值、油井监控的创新,以及使用机器学习算法来改进油井乳剂的管理。
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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