油气人工智能课程群建设及课程分类管理机制研究  

Research on the Construction of Oil and Gas Artificial Intelligence Course Group and Course Classification Management Mechanism

作　　者：薛亮[1,2,3] 林伯韬[1] 宋先知[1,2,3] XUE Liang;LIN Botao;SONG Xianzhi(College of Artificial Intelligent,China University of Petroleum,Beijing 102249;College of Carbon Neural Energy,China University of Petroleum,Beijing 102249;College of Petroleum Engineering,China University of Petroleum,Beijing 102249)

机构地区：[1]中国石油大学(北京)人工智能学院,北京102249 [2]中国石油大学(北京)碳中和示范性能源学院,北京102249 [3]中国石油大学(北京)石油工程学院,北京102249

出　　处：《科教导刊》2024年第26期16-18,共3页The Guide Of Science & Education

基　　金：2023年度北京市高等教育学会课题“碳中和能源创新人才产学研协同育人模式研究”(MS2023309);2023年北京高等教育本科教学改革创新项目“碳中和示范性能源复合型人才培养模式研究”(2023165);2022年中国石油大学(北京)本科教育教学改革项目“‘油气+碳中和’复合型拔尖创新人才培养模式研究”(2022002)。

摘　　要：在“双碳”目标下,石油和天然气行业的数字化和智能化转型是保障国家能源安全、促进油气行业高质量发展的重要基础。随着人工智能上升为国家战略,社会对油气行业高校的人才培养提出了全新的要求。为服务国家战略需求,推动人工智能科技前沿进展,整合油气学科优质资源,发挥高校在交叉学科人才培养中的作用,构建油气与人工智能多学科交叉课程群,组建多元化优质师资队伍,规范课程分类管理制度,开展多学科交叉教育教学模式创新,能够为我国油气领域人工智能人才的培养提供重要支撑。Under the"dual carbon"goal,the digital and intelligent transformation of the oil and gas industry is an important foundation for ensuring national energy security and promoting high-quality development of the oil and gas industry.With the rise of artificial intelligence as a national strategy,society has put forward new requirements for talent cultivation in oil and gas industry universities.To serve the national strategic needs,promote the cutting-edge development of artificial intelligence technology,integrate high-quality resources of oil and gas disciplines,give full play to the role of universities in interdisciplinary talent cultivation,build a multidisciplinary course group that combines oil and gas and artificial intelligence,establish a diversified and high-quality teaching team,standardize the course classification management system,and carry out innovative interdisciplinary education and teaching models,which can provide important support for the cultivation of artificial intelligence talents in China's oil and gas field.

关 键 词：石油与天然气 人工智能 课程群 分类管理 

分 类 号：G642[文化科学—高等教育学]