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人工智能在油气领域的应用述评

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第三次能源转型的长期性决定了油气资源的重要性.油气领域现有的技术体系难以支撑其高质量发展,亟须发展颠覆性、原创性技术推动产业革新.目前,"AI+油气"已成为油气领域的破局点.包括U—Net网络、循环神经网络以及随机森林在内的众多AI技术有利于油气资源的勘探开发.机器学习、监督学习等技术有助于搭建智能监测与管理平台,从而提高油气管道、地下储气库等基础设施的运行效率.新一轮信息技术必将带动新一轮油气产业革命,但现阶段存在诸多挑战.根据人工智能在油气领域的应用现状及面临的挑战,提出相关建议,以期促进我国人工智能与油气产业的融合发展.
Review on the Application of Artificial Intelligence in Oil and Gas Field
The secular characteristic of the third energy transition determines the importance of oil and gas resources.The existing technical system in the oil and gas field is difficult to support its high—quality development,and it is urgent to develop subversive and original technologies to promote indus-trial innovation.At presently,"AI+oil and gas"has become the breakthrough point in the oil and gas field.Many AI technologies,including U—NET network,circular neural network and random forest,are beneficial to the exploration and development of oil and gas resources.Machine learning,supervised learning and other technologies help to build an intelligent monitoring and management platform,thus improving the operating efficiency of infrastructure such as oil—gas pipeline and underground gas stor-age.A new round of information technology is bound to drive a new round of oil and gas industry revo-lution,but there are many challenges at this stage.According to the application status and challenges of artificial intelligence in oil and gas field,this paper puts forward some suggestions in order to pro-mote the integration and development of artificial intelligence and oil and gas industry in China.

The Third Energy TransitionIndustrial InnovationCirculating Neural NetworkRandom ForestMachine LearningFusion Development

陈军华、曾秋洪

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西南石油大学经济管理学院

四川石油天然气发展研究中心,四川成都 610500

第三次能源转型 产业革新 循环神经网络 随机森林 机器学习 融合发展

2024

科技创业月刊
湖北省科技信息研究院

科技创业月刊

影响因子:0.254
ISSN:1672-2272
年,卷(期):2024.37(9)