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2019年人工智能在油气工业中的探索与应用

作者:胡安俊 郑云栋 出版日期:2020年08月 报告页数:18 页 报告大小: 报告字数:13251 字 所属丛书:石油蓝皮书 所属图书:中国石油产业发展报告(2020) 浏览人数: 下载人数:

文章摘要:近年来,人工智能在油气勘探开采的战略决策、安全高效智能化开采、油藏预测、故障诊断和风险预警,油气储运的智能工地与设备管理、智能调度与趋势预测、预报预警与监督控制,油气炼化的过程管理与供应链优化、设备监控与远程诊断等领域开展了许多探索与应用,但总体来说仍处于初级阶段。人工智能在油气工业中的应用,将有利于提升运行效率,促进节能减排,推动智能工厂建设步伐,推进能源革命并保障国家能源安全。展望未来,作为一种通用目的技术,人工智能在油气勘探开采... 展开

文章摘要:近年来,人工智能在油气勘探开采的战略决策、安全高效智能化开采、油藏预测、故障诊断和风险预警,油气储运的智能工地与设备管理、智能调度与趋势预测、预报预警与监督控制,油气炼化的过程管理与供应链优化、设备监控与远程诊断等领域开展了许多探索与应用,但总体来说仍处于初级阶段。人工智能在油气工业中的应用,将有利于提升运行效率,促进节能减排,推动智能工厂建设步伐,推进能源革命并保障国家能源安全。展望未来,作为一种通用目的技术,人工智能在油气勘探开采、储运、炼化等环节仍具有巨大的应用潜力。

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Abstract:Human beings have entered the era of artificial intelligence. In recent years,artificial intelligence has been widely used in strategic decision-making,safe and efficient intelligent production,reservoir prediction,fault diagnosis and risk early warning of oil and gas exploration and production,intelligent site and equipment management,intelligent scheduling and prediction,early warning and supervision control of oil and gas st... 展开

Abstract:Human beings have entered the era of artificial intelligence. In recent years,artificial intelligence has been widely used in strategic decision-making,safe and efficient intelligent production,reservoir prediction,fault diagnosis and risk early warning of oil and gas exploration and production,intelligent site and equipment management,intelligent scheduling and prediction,early warning and supervision control of oil and gas storage and transportation,process management and supply chain optimization,equipment monitoring and remote diagnosis of oil and gas refining. However,it is still in its infancy. The application of artificial intelligence in oil and gas industry will be conducive to improving operation efficiency,promoting energy conservation and emission reduction,promoting the pace of intelligent factory construction,promoting energy revolution and ensuring national energy security. As a general purpose technology,artificial intelligence still has great application potential in oil and gas exploration and production,storage and transportation,refining and other aspects in the future.

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作者简介

胡安俊:胡安俊,中国社会科学院数量经济与技术经济研究所副研究员,研究领域为人工智能、智慧能源等。

郑云栋:郑云栋,北京圣金桥信息技术有限公司高级工程师,研究领域为仿真和流程模拟优化。