人工智能在天然气行业的应用:文献综述

Siddhartha Nuthakki, Chinmay Shripad Kulkarni, Satish Kathiriya, Yudhisthir Nuthakki
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引用次数: 0

摘要

人工智能(AI)在石油行业中较有争议的用途之一是技术进步。天然气业务从多个操作程序中不断生成数据。现在,天然气行业非常关注如何记录这些数据并合理使用它们。根据推理和预测数据分析做出决策有助于及时准确地做出决策。尽管障碍重重,但天然气行业使用数据分析进行决策的情况正在显著增加。上述研究领域已经取得了长足的进步。随着人工智能(AI)和机器学习(ML)技术的使用,许多复杂的问题现在都可以轻松解决。本研究着眼于人工智能在天然气领域的应用,从 2005 年至 2023 年期间的多个来源收集数据。目前的工作可能会为选择相关技术提供一个技术框架,从而能够从天然气行业产生的大量数据中高效提取信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence Applications in Natural Gas Industry: A Literature Review
One of the more controversial uses of artificial intelligence (AI) in the petroleum industry has been in technological advancement. The gas business generates data on a constant basis from several operational procedures. The gas sector is now very concerned about recording these data and using them appropriately. Making decisions based on inferential and predictive data analytics facilitates timely and accurate decision-making. The gas business is seeing a significant increase in the use of data analytics for decision-making despite numerous obstacles. Considerable progress has been made in the aforementioned field of study. With the use of artificial intelligence (AI) and machine learning (ML) techniques, many complicated issues may now be resolved with ease. This study, which looks at artificial intelligence applications in the natural gas sector, collected its data from numerous sources between 2005 and 2023. The current work might offer a technical framework for selecting pertinent technologies that will enable efficient information extraction from the massive amount of data produced by the gas industry.
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