个人基本信息：
董少群，男，博士（后），副教授，硕士生导师，博士生导师。主要从事油气人工智能、应用统计、智能油藏描述研究。发表论文70余篇，其中第一或通讯作者32篇；以第一发明人申请国家发明专利14项，其中6项已授权；第一作者登记计算机软件著作权12项；合作出版专著、教材2部。任《Petroleum Science》，《International Journal of Coal Science & Technology》、《石油科学通报》、《东北石油大学学报》、《西安石油大学学报》等多个期刊青年编委，兼任AAPG、JGR: Solid Earth、《石油勘探与开发》等30余个期刊审稿人。主持国家自然科学基金青年科学基金项目1项、中国博士后科学基金特别资助项目1项、省部级揭榜挂帅项目1项、中石油及中石化科研项目5项，研究成果获教育部科技进步奖等省部级一等奖2项、省部级二等奖1项。
工作经历：
（1）2022.07-至今，中国石油大学（北京），理学院，副教授。
（2）2019.09-2022.07，中国石油大学（北京），理学院，讲师。
(3) 2017-2018，澳大利亚阿德莱德大学，访问交流。
10篇代表论文：
[1] Semi-supervised neural network for complex lithofacies identification using well logs [J]. IEEE Transactions on Geoscience and Remote Sensing. 2024, 录用待刊.
[2] A deep learning object detection method for fracture identification using conventional well logs [J]. IEEE Transactions on Geoscience and Remote Sensing. 2024,62:5920716.
[3] Fracture identification in shale reservoir using a deep learning method: Chang 7 reservoirs, Triassic Yanchang formation [J]. Geoenergy Science and Engineering. 2024,238:212853.
[4] Fracture identification in reservoirs using well log data by window sliding recurrent neural network [J]. Geoenergy Science and Engineering. 2023, 230: 212165.
[5] How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles [J]. Petroleum Science. 2023, 20(2): 733-752.
[6] A deep kernel method for lithofacies identification using conventional well logs [J]. Petroleum Science. 2023, 20(3): 1411-1428.
[7] 致密碳酸盐岩储集层裂缝智能预测方法[J]. 石油勘探与开发. 2022, 49(6): 1179-1189.
An intelligent prediction method of fractures in tight carbonate reservoirs. Petroleum Exploration and Development. 2022, 49(6): 1364-1376.（双语刊发）
[8] Lithofacies identification in carbonate reservoirs by multiple kernel Fisher discriminant analysis using conventional well logs: A case study in A oilfield, Zagros Basin, Iraq[J]. Journal of Petroleum Science and Engineering. 2022, 210: 110081.
[9] Fracture identification by semi-supervised learning using conventional logs in tight sandstones of Ordos Basin, China[J]. Journal of Natural Gas Science and Engineering. 2020, 76: 103131.
[10] A fast method for fracture intersection detection in discrete fracture networks [J]. Computers and Geotechnics. 2018, 98: 205-216.
授课信息：
（1）油气人工智能基础及应用
（2）随机模拟
（3）概率统计基础
