(1) Cen, Jinxia, Min, Chao*, et al. Gap functions and global error bounds for differential variational–hemivariational inequalities ，Nonlinear Analysis: Real World Applications,2023. (2) Cen, Jinxia, Migórski, Stanislstrok, Min, Chao*, Yao, Jen-Chih，Hemivariational inequality for contaminant reaction–diffusion model of recovered fracturing fluid in the wellbore of shale gas reservoir ， Communications in Nonlinear Science and Numerical Simulation，2023. (3) 闵超，张馨慧，杨兆中，李小刚，代博仁.基于CBFS-CV算法的煤层气井压裂效果主控因素识别[J].油气地质与采收率,2022,29(01):168-174. (4) 蔺研锋，闵超*，代博仁，张馨慧.基于动态特征和深度神经网络的钻井漏失事故预测[J].西安石油大学学报(自然科学版),2022,37(03):64-69. (5) Chaochao Zhao, Chao Min*, Analysis of the transient flow of non‑Newtonian power‑law fluids in homogeneous reservoirs with the elastic outer boundary, Acta Geophysica, 69(5), 1865-1875. (6) J.X. Cen, C. Min*, G.J. Tang and V.T. Nguyen, Generalized well-posedness results for a class of new mixed varaitional inequalities, Optimization, https://doi.org/10.1080/02331934.2021.1970752. (7) Min, C., Fan, F., et al. On a class of generalized stochastic Browder mixed variational inequalities. J. Inequal. Appl. 2020, 4 (2020); (8) Z. Yang, C. Yang, X. Li, C. Min, Pattern Recognition of the Vertical Hydraulic Fracture Shapes in Coalbed Methane Reservoirs Based on Hierarchical Bi-LSTM Network, Complexity, 2020, https://doi.org/10.1155/2020/1734048. (9) 闵超，代博仁等，机器学习在油气行业中的应用进展综述，红宝石官方网站hbs123学报(自然科学版) 2020,42(06). (10) 闵超，文国权，李彬瑞，基于改进云模型的化学驱油田开发项目综合评价，模糊系统与数学, 2019, 2. (11) Zeng-bao Wu, Chao Min, Nan-jing Huang. On a system of fuzzy fractional differential inclusions with projection operators, Fuzzy Sets and Systems, (347)2018: 70-88. (12) 王贺华，肖武，闵超，数据驱动的油田开发规划预测与优化[M]，石油工业出版社，2020. |
