姓名: |
余智超 |
性别: |
男 |
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职称: |
特任教授 |
学位: |
博士 |
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电话: |
18627223527 |
传真: |
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Email: |
yuzhichao@yangtzeu.edu.cn |
邮编: |
430100 |
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地址: |
湖北省武汉市蔡甸区蔡甸街大学路111号 |
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更多信息: |
威廉williamhill 英国威廉集团地科系 |
简历:
余智超,汉族,博士,硕士生导师。主要在陆相油气藏储层预测与表征取得一定成果,近5年以第一作者发表SCI收录论文12篇、中文核心论文1篇。主持湖北省自然科学青年基金一项,在油气藏储层表征方面的研究成果获中国科技产业化促进会科技创新奖1项、中国石油和化工自动化应用协会科技创新团队奖1项,参与团体标准编写1项。
研究兴趣:
层序地层学、沉积模拟、优质储层形成机理、基于岩石物理的测井储层综合评价、地震储层预测、砂体结构解剖、三维地质建模、油气藏智能表征等。
工作及教育经历:
2026.03—至今 威廉williamhill;特任教授
2023.09—2026.03 中国地质大学(武汉);博士后
2021.10—2022.10 加拿大卡尔加里大学; 联合培养
2019.09—2023.09 中国石油大学(北京); 地质资源与地质工程(博士)
2016.09—2019.06 中国石油大学(北京);地质工程(硕士)
2012.09—2016.06 中国石油大学(北京);地质工程(本科)
近五年承担科研项目情况:
2024.01--2026.01,湖北省自然科学青年基金,不同沉积机制下扇三角洲沉积构型差异分布与控储模式研究,项目主持
2025.07—至今,新型油气勘探开发国家科技重大专项,珠一坳陷洲-滩(坝)交互环境岩性油气藏形成条件与有利勘探方向,第二负责
2025.04—至今,江汉油田分公司合作项目,复兴侏罗系黏土矿物、隔夹层特征与油气富集规律研究,第二负责
2023.09—2025.07,中石化胜利油田分公司,准噶尔盆地超深层储层成岩成储机制及甜点识别描述技术,研究骨干
2021.08—2025.12, 中石油战略合作项目,玛湖砾岩油藏多层系立体开发理论与技术研究(油藏地质研究部分),第二负责
第一作者论文:
1. Yu Z C, Yan D T, Adenutsi C D. Sedimentary and Sequence Responses to Tectonic and Climatic Changes in a Continental Depression Basin [J]. Basin Research, 2026, 10.1111/bre.70088.
2. Yu Z C, Yan D T, Adenutsi C D. Geologically Constrained Deep Learning for Lithofacies Identification of mixed Terrestrial Shale Reservoirs: Permian Fengcheng Formation, Mahu Sag, Junggar Basin, Western China [J]. SPE Journal,2025, 225443.
3. Yu Z C, Yan D T, Zhao G X, et al. Applying seismic sedimentology to characterize the architecture of a fan delta complex: Triassic Baikouquan Formation, Mahu Sag, Junggar Basin, Western China[J]. Marine and Petroleum Geology, 2024, 167, 106933.
4. Yu Z C, Wang Z Z, Wang J, et al. Subtle reservoirs and implications for hydrocarbon exploration in terrestrial lacustrine fan-delta deposits: Insights from the Triassic Baikouquan Formation, Mahu Sag, Junggar Basin, Western China[J]. Marine and Petroleum Geology, 2022, 142: 105730.
5. Yu Z C, Wang Z Z, Fan W T, et al. Evaluating the sedimentological and diagenetic impacts on terrestrial lacustrine fan delta sandy conglomerates reservoir quality: Insights from the Triassic Baikouquan Formation in the Mahu sag, Junggar Basin, Western China[J]. Marine and Petroleum Geology, 2022, 146: 105973.
6. Yu Z C, Wang Z Z, Adenutsi C D, et al. Genesis of authigenic clay minerals and their impacts on reservoir quality in tight conglomerate reservoirs of the Triassic Baikouquan Formation in the Mahu Sag, Junggar Basin, Western China[J]. Marine and Petroleum Geology, 2023, 148: 106041.
7. Yu Z C, Wang Z Z, Jiang Q P, et al. Evaluation of low permeability conglomerate reservoirs based on petrophysical facies: A case study from the Triassic Baikouquan Formation, northern Mahu Sag, Junggar Basin, China[J]. Journal of Petroleum Science and Engineering, 2022, 219: 111082.
8. Yu Z C, Wang Z Z, Adenutsi C D. Integration of rock physics, geostatistics, and Bayesian algorithm to estimate porosity in tight oil reservoirs[J]. Geoenergy Science and Engineering, 2023, 230: 212224.
9. Yu Z C, Wang Z Z, Wang J. Continuous Wavelet Transform and Dynamic Time Warping-Based Fine Division and Correlation of Glutenite Sedimentary Cycles[J]. Mathematical Geosciences, 2023, 55(4): 521-539.
10. Yu Z C, Wang Z Z, Lin W, et al. Permeability prediction of tight conglomerates by integrating fractal characteristics and seismic meme inversion: A case study from the Triassic Baikouquan Formation, Junggar Basin, Western China[J]. Fractals, 2023, 31(10): 2340010.
11. Yu Z C, Wang Z Z, Jiang Q P, et al. Analysis of Factors of Productivity of Tight Conglomerate Reservoirs Based on Random Forest Algorithm[J]. ACS Omega, 2022, 7(23): 20390-20404.
12. Yu Z C, Wang Z Z, Zeng F C, et al. Volcanic lithology identification based on parameter-optimized GBDT algorithm: A case study in the Jilin Oilfield, Songliao Basin, NE China[J]. Journal of Applied Geophysics, 2021, 194, 104443.
13. 余智超,王志章,魏荷花,等。《塔河油田缝洞型油藏不同成因岩溶储集体表征》. 油气地质与采收率. 2019, 26(6), 53-61.