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作 者:闫林[1,2,3] 李欣 李小波[1,2,3] 刘俊榜 王洪亮[1,2] 李心浩 贾文清[1] Yan Lin;Li Xin;Li Xiaobo;Liu Junbang;Wang Hongliang;Li Xinhao;Jia Wenqing(PetroChina Research Institute of Petroleum Exploration&Development,Beijing 100083,China;Artificial Intelligence Technology R&D Center for Exploration and Development,CNPC,Beijing 100083,China;State Key Laboratory of Continental Shale Oil,Daqing 163712,China)
机构地区:[1]中国石油勘探开发研究院 [2]中国石油天然气集团有限公司勘探开发人工智能技术研发中心 [3]多资源协同陆相页岩油绿色开采全国重点实验室
出 处:《石油科技论坛》2024年第5期35-42,共8页PETROLEUM SCIENCE AND TECHNOLOGY FORUM
基 金:国家重点研发计划“地质资源精准开发风险预测的大数据智能分析技术及平台建设”(编号:2022YFF0801200);中国石油天然气集团有限公司前瞻性基础性技术攻关项目“油气勘探开发人工智能关键技术研究”(编号:2023DJ84)。
摘 要:近年来,人工智能技术飞速发展,在垂直行业的规模应用实效显著,国内外均意识到人工智能标准工作的重要性,积极推进人工智能标准工作。人工智能技术在油气领域的融合应用,整体按“单点智能技术—智能化技术系列—大模型”路径演进、扩展,当前已实现多点技术突破,推进油气人工智能标准化工作的重要性和必要性凸显。建议采用“整体布局、分层细化、逐步完善”的方式,分基础骨干、重点方向、应用场景3个层次构建油气人工智能标准体系,明晰油气人工智能与其他专业界限、科学组建油气人工智能标准委员会,协同推进油气人工智能标准化工作快速有序发展。Artificial intelligence(AI)technology has been under rapid development in recent years with the significant results achieved in its large-scale application in the vertical industries.AI standardization was stressed for its importance and actively accelerated both at home and abroad.AI technology was used in the oil and gas industry.Its integration and application was demonstrated and expanded along the“single-point intelligence technology-intelligence technology series-large model”roadway.Currently,a breakthrough has been made in multi-point technology,highlighting the importance and necessity of accelerating oil and gas AI standardization.It is proposed to adopt the method of“deployment as a whole,differentiation in various levels and gradual perfection.”Construction of the oil and gas AI standards system is based on three levels--basic backbone,key orientation and application scenarios--to define the boundaries between the oil and gas AI and other disciplines and scientifically organize the oil and gas AI standards committee,thus bringing about a rapid and healthy development of oil and gas AI standardization.
分 类 号:TE11[石油与天然气工程—油气勘探] TP18[自动化与计算机技术—控制理论与控制工程] F426.22[自动化与计算机技术—控制科学与工程]
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