职称职务

副教授（预聘）

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Email

xiaojun.chen@cqu.edu.cn;   chenxiaojuncug@hotmail.com

联系地址

重庆市高新区大学城南路55号

重庆大学科学城校区虎溪校园工科大楼D栋/401331

研究方向

数字岩石物理;   分形多孔介质表征与输运;   图像分析与人工智能;   非常规储层地质学；数学地质学

个人简历

陈孝君，男，湖北省荆州市人，中共党员。长期专注于数字岩石物理与非常规油气储层评价，融合机器学习、数字图像分析及多孔介质输运理论，系统构建了从1D/2D微观结构到3D宏观物性的跨维度智能预测与理论映射技术与方法，研究对象涵盖非常规砂岩储层、煤岩、土壤介质与金属材料界面等。成果发表于Water Resources Research、Journal of   Geophysical Research: Solid Earth、Journal of   Hydrology、Geophysics、Petroleum Science、Marine and Petroleum   Geology、Materials & Design、Fuel等行业权威期刊，以第一/通讯作者发表SCI一区/二区论文24篇，总被引1000余次。主持国家自然科学基金青年基金C类1项，国家博士后特别资助基金（站前）1项，国家博士后面上基金1项，湖北省博士后科学基金1项，获批重庆市海外优秀青年人才计划（数智科技方向）。受邀担任《油气藏评价与开发》期刊青年编委，与RMRE、Fuel、AGER、 Marine and   Petroleum Geology、Geophysics、Journal of   Petroleum Science and Engineering、Journal of Natural Gas   Science and Engineering、Powder Technology等20余本国际期刊审稿人。

工作经历

2024 – 至今 重庆大学 资源与安全学院    副教授（预聘）

2022-2024年 英国曼彻斯特大学    博士后

2019-2022年 中国地质大学（武汉）资源学院 博士后

学习经历

2014-2019年 中国地质大学（武汉）资源学院 矿产普查与勘探 博士（直博生，无硕士学位）

2010-2014年 中国地质大学（武汉）资源学院 石油工程 学士

代表性研究项目

[1] 2021 ~ 2023 国家自然科学青年基金C类  主持

[2] 2020 ~ 2023 国家博士后自然科学基金面上项目  主持

[3] 2020 ~ 2023 国家博士后自然科学基金特别资助项目  主持

[4] 2020 ~ 2023 湖北省博士后自然科学基金  主持

[5] 2024~ 2027 重庆市自然科学基金面上项目 主持

[6] 2016~ 2018 中国科技部国家十三五重大科技专项 主研

[7] 中海油湛江研究院、海南研究院关于非常规砂岩储层表征与精细评价的课题多项 主研

代表性获奖

[1] 绿色矿山基础研究类一等奖，排名第七

[2] 国家博士后特别资助（全国每年400人）

[3] 中国地质大学（武汉）优秀博士学位论文

[4] 国家奖学金（本科/博士）

[5] 院士奖学金、国家励志奖学金（本科）

[6] Journal of Natural Gas Science and Engineering “Outstanding   Reviewer Award”

代表性专利

[1]王磊; 姚光庆; 陈孝君; 赵晓博; 任双坡; 海上注水开发油田合理注入水源选择方法及评价方法,   2024-05-14, 中国, CN202210390519.X   (授权发明专利).

[2]吕帅锋; 陈孝君; 陈冲; 一种煤粉分散系结构的预测方法, 2024-11-01, 中国, CN202211070708.5 (授权发明专利).

代表性专著、教材

作为副主编，参与编写高等学校教材《油气储层地质学原理与方法（第二版）》（总计423页，74万字）“第十章 微尺度储层非均质性评价”（第210-243页）

代表性论文

相关科研成果在Water Resources   Research、Journal of Geophysical Research: Solid Earth、Journal of Hydrology等专业权威期刊上发表SCI收录论文30余篇，其中第一/通讯作者SCI论文24篇。以合著作者在中科院一二区SCI期刊发表10余篇。

详见：谷歌学术个人主页：

https://scholar.google.com.hk/citations?user=hKMSwW0AAAAJ&hl=zh-CN&oi=sra。

详见：Elsevier系统的Scopus个人主页：

https://www.scopus.com/authid/detail.uri?authorId=57192931340。

1. Chen X. J., Yao G. Q., Cai J. C., Huang Y. T., Yuan X. Q., 2017. Fractal   and multifractal analysis of different hydraulic flow units based on micro-CT   images. Journal of Natural Gas Science and Engineering, 48:145-156.

2. Chen X.   J., Yao G. Q., 2017. An improved model for permeability   estimation in low permeable porous media based on fractal geometry and   modified Hagen-Poiseuille flow. Fuel, 210:748-757.

3. Chen X. J., Zhou Y., 2017. Applications of digital core analysis and   hydraulic flow units in petrophysical characterization. Advances in Geo-Energy Research,   1(1):18-30.

4. Shao C., Xu L., Chen X. J., Chu Z. W., Yang B. L.,   2018. Factors affecting received signal intensity of electromagnetic   measurement-while-drilling during underground in-seam horizontal drilling. Journal of Natural Gas Science and Engineering, 56:212-221.

5. Chen X. J., Yao G. Q., Herrero-Bervera E., Cai J. C., Zhou K., Luo C.   F., et al., 2018. A new model of pore structure typing based on fractal   geometry. Marine and Petroleum Geology, 98:291-305.

6. Lyu S. F., Chen X. J.*, Shah S. M., Wu X. M.,   2019. Experimental study of influence of natural surfactant soybean   phospholipid on wettability of high-rank coal. Fuel, 239:1-12.

7. Fu H., Wang W., Chen X. J.*, Pia G., Li J. X., 2019.   Fractal and multifractal analysis of fracture surfaces caused by hydrogen   embrittlement in high-Mn twinning/transformation-induced plasticity steels. Applied Surface Science,   470:870-881.

8. Chen X. J., Yao G. Q., Luo C. F., Jiang P., Cai J. C., Zhou K., et al.,   2019. Capillary pressure curve determination based on a 2‐D cross‐section   analysis via fractal geometry: a bridge between 2‐D and 3‐D pore structure of   porous media. Journal of Geophysical Research: Solid   Earth, 124(3):2352-2367.

9. Fu H., Wang W., Chen X. J.*, Pia G., Li J. X., 2020.   Grain boundary design based on fractal theory to improve intergranular   corrosion resistance of TWIP steels. Materials   & Design, 185:108253.

10. Lyu S. F., Wang S. W., Chen X. J.*, Wang S. F., Wang T., Shi   X. H., et al., 2020. Natural fractures in soft coal seams and their effect on   hydraulic fracture propagation: A field study. Journal   of Petroleum Science and Engineering,   192:107255.

11. Ren X. W., Kang J. Y., Ren   J. J., Chen X. J., Zhang M., 2020. A method   for estimating soil water characteristic curve with limited experimental   data. Geoderma, 360:114013.

12. Lyu S. F., Wang S. W., Chen X. J., Shah S. M., Li R., Xiao   Y. H., et al., 2019. Experimental study of a degradable polymer drilling   fluid system for coalbed methane well. Journal   of Petroleum Science and Engineering,   178:678-690.

13. Lyu S. F., Chen X. J.*, Li R., Wang S. W., Liu   J., Shen P. L., 2021. Microstructure Analysis on the Fracture Network in   High‐Rank Coals. Earth and Space Science, 8(8):e2021EA001780.

14. Fu H., Chen X. J., Wang W., Pia G., Zhang   J. L., Li J. X., 2021. Statistical study on the effects of heterogeneous   deformation and grain boundary character on hydrogen-induced crack initiation   and propagation in twining-induced plasticity steels. Corrosion Science, 192:109796.

15. Saafan M., Ganat T.,   Mohyaldinn M., Chen X. J.,   2022. A fractal model for obtaining spontaneous imbibition capillary pressure   curves based on 2D image analysis of low-permeability sandstone. Journal of Petroleum Science and Engineering, 208:109747.

16. Lyu S. F., Wang S. W., Li   J. Y., Chen X. J.*, Chen L. C., Dong Q. X.,   et al., 2022. Massive hydraulic fracturing to control gas outbursts in soft   coal seams. Rock Mechanics and Rock Engineering, 55(3):1759-1776.

17. Luo C. F., Chen X. J.*, Shi Z. Q., Chen J. D.,   Wu T. R., Shi C. L., et al., 2022. Effects of precipitation and dissolution   of carbonate cements on the quality of deeply buried high-temperature and   overpressured clastic reservoirs: XD 10 block, Yinggehai Basin, South China   Sea. Marine and Petroleum Geology,   139:105591.

18. Zhao X. B., Yao G. Q., Chen X. J.*, Zhang R. X., Lan Z. J.,   Wang G. C., 2022. Diagenetic facies classification and characterization of a   high-temperature and high-pressure tight gas sandstone reservoir: A case   study in the Ledong area, Yinggehai Basin. Marine   and Petroleum Geology, 140:105665.

19. Zhao X. B., Chen X. J.*, Huang Q., Lan Z. J.,   Wang X. G., Yao G. Q., 2022. Logging-data-driven permeability prediction in   low-permeable sandstones based on machine learning with pattern   visualization: A case study in Wenchang A Sag, Pearl River Mouth Basin. Journal of Petroleum Science and Engineering, 214:110517.

20. Chen X. J., Thanh L. D., Luo C. F., Tahmasebi P., Cai J. C., 2023.   Dependence of electrical conduction on pore structure in reservoir rocks from   the Beibuwan and Pearl River Mouth Basins: A theoretical and experimental   study. Geophysics, 88(2):MR35-MR53.

21. Chen X. J., Zhang R. X., Zhao X. B., Yang J. W., Lan Z. J., Luo C. F.,   et al., 2023. Multifractal estimation of NMR T2 cut-off value in   low-permeability rocks considering spectrum kurtosis: SMOTE-based   oversampling integrated with machine learning. Petroleum   Science, 20(6):3411-3427.

22. Chen X. J., Zhao X. B., Tahmasebi P., Luo C. F., Cai J. C., 2023.   NMR-data-driven prediction of matrix permeability in sandstone aquifers. Journal of Hydrology,   618:129147.

23. Chen X. J., Yang J. W., Ma L., Rabbani A., Babaei M., 2023. Predicting   3D physical properties from a single 2D slice based on convolutional neural   networks: 2D‐Slice‐To‐3D‐Properties for porous rocks. Water Resources Research,   59(9): e2023WR035521.

24. Zhao X. B., Chen X. J.*, Lan Z. J., Wang X. G.,   Yao G. Q., 2023. Pore pressure prediction assisted by machine learning models   combined with interpretations: A case study of an HTHP gas field, Yinggehai   Basin. Geoenergy Science and Engineering,   229:212114.

25. Wang L., Chen X. J., Zhang H., Yao G. Q., Zhao   N., Zhao X. B., et al., 2023. A new index to evaluate the seepage capacity of   water-wet sandstone reservoirs. Journal of Energy   Engineering, 149(4):04023018.

26. Zhao X. B., Chen X. J.*, Chen W., Liu M. Q., Yao   Y., Wang H., et al., 2023. Quantitative classification and prediction of diagenetic   facies in tight gas sandstone reservoirs via unsupervised and supervised   Machine learning models: Ledong Area, Yinggehai Basin. Natural Resources Research,   32(6):2685-2710.

27. Chen X. J.*, Zhou K., Jiang P., Zhao X. B., Yao G. Q., 2024. Identification,   characterization, and up-scaling of pore structure facies in the low   permeability reservoirs: Insight into reservoir quality evaluation and   sweet-spots analysis. Marine and Petroleum   Geology, 162:106646.

28. Fu H., Chen X. J., Zhang L. J., Tan Y. B.,   Xiang S., Xu J. P., et al., 2024. The nonlinear analysis of Portevin-Le   Chatelier (PLC) effect: an application to medium Mn steel. Materials & Design,   245:113250.

29. Wang L., Lei X., Zhang Q.   L., Yao G. Q., Sui B., Chen X. J., et al., 2024. Experimental study of the effects of a   multistage pore-throat structure on the seepage characteristics of sandstones   in the Beibuwan Basin: Insights into the flooding mode. Petroleum Science, 21(2):1044-1061.

30. Lyu S. F., Chen X. J., Lu B., Li Y. L., Ji Z.   Y., 2025. Wettability variations among macroscopic components of high-rank   coal and their effects on permeability-stress correlations: An experimental   study. Energy & Fuels,   39(4):1813-1827.

31. Lyu S. F., Lu A., Li R., Chen X. J., Chen Z. Y., Chen L. C.,   et al., 2024. Production of coal fines in deep coal seam via morphologic,   flow-channel, mineral analyses: evidence from coalbed methane wells in the   Qinshui Basin. ACS omega,   9(23):25283-25296.

32. Fang Q. D., Ren X. W.,   Zhang B., Chen X. J., Guo Z. Y., 2022. A   flexible soil-water characteristic curve model considering physical   constraints of parameters. Engineering Geology, 305:106717.