個(gè)人基本信息：
董少群，男，博士（后），副教授，碩士生導(dǎo)師，博士生導(dǎo)師。主要從事油氣人工智能、應(yīng)用統(tǒng)計(jì)、智能油藏描述研究。發(fā)表論文70余篇，其中第一或通訊作者32篇；以第一發(fā)明人申請(qǐng)國家發(fā)明專利14項(xiàng)，其中6項(xiàng)已授權(quán)；第一作者登記計(jì)算機(jī)軟件著作權(quán)12項(xiàng)；合作出版專著、教材2部。任《Petroleum Science》，《International Journal of Coal Science & Technology》、《石油科學(xué)通報(bào)》、《東北石油大學(xué)學(xué)報(bào)》、《西安石油大學(xué)學(xué)報(bào)》等多個(gè)期刊青年編委，兼任AAPG、JGR: Solid Earth、《石油勘探與開發(fā)》等30余個(gè)期刊審稿人。主持國家自然科學(xué)基金青年科學(xué)基金項(xiàng)目1項(xiàng)、中國博士后科學(xué)基金特別資助項(xiàng)目1項(xiàng)、省部級(jí)揭榜掛帥項(xiàng)目1項(xiàng)、中石油及中石化科研項(xiàng)目5項(xiàng)，研究成果獲教育部科技進(jìn)步獎(jiǎng)等省部級(jí)一等獎(jiǎng)2項(xiàng)、省部級(jí)二等獎(jiǎng)1項(xiàng)。
郵箱：dshaoqun@163.com
工作經(jīng)歷：
（1）2022.07-至今，中國石油大學(xué)（北京），理學(xué)院，副教授。
（2）2019.09-2022.07，中國石油大學(xué)（北京），理學(xué)院，講師。
(3) 2017-2018，澳大利亞阿德萊德大學(xué)，訪問交流。
10篇代表論文：
[1] Semi-supervised neural network for complex lithofacies identification using well logs [J]. IEEE Transactions on Geoscience and Remote Sensing. 2024, 錄用待刊.
[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] 致密碳酸鹽巖儲(chǔ)集層裂縫智能預(yù)測方法[J]. 石油勘探與開發(fā). 2022, 49(6): 1179-1189.
An intelligent prediction method of fractures in tight carbonate reservoirs. Petroleum Exploration and Development. 2022, 49(6): 1364-1376.（雙語刊發(fā)）
[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.
授課信息：
（1）油氣人工智能基礎(chǔ)及應(yīng)用
（2）隨機(jī)模擬
（3）概率統(tǒng)計(jì)基礎(chǔ)
理學(xué)院官方微信