| A new bat algorithm based on iterative local search and stochastic inertia weight C Gan, W Cao, M Wu, X Chen Expert Systems with Applications 104, 202-212, 2018 | 96 | 2018 |
| Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China C Gan, WH Cao, M Wu, X Chen, YL Hu, KZ Liu, FW Wang, SB Zhang Journal of Petroleum Science and Engineering 181, 106200, 2019 | 76 | 2019 |
| Two-level intelligent modeling method for the rate of penetration in complex geological drilling process C Gan, W Cao, M Wu, KZ Liu, X Chen, Y Hu, F Ning Applied Soft Computing 80, 592-602, 2019 | 62 | 2019 |
| A new hybrid bat algorithm and its application to the ROP optimization in drilling processes C Gan, WH Cao, KZ Liu, M Wu, FW Wang, SB Zhang IEEE Transactions on Industrial Informatics 16 (12), 7338-7348, 2019 | 50 | 2019 |
| Torsional vibration control of drill-string systems with time-varying measurement delays C Lu, M Wu, X Chen, W Cao, C Gan, J She Information Sciences 467, 528-548, 2018 | 31 | 2018 |
| A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process C Gan, WH Cao, KZ Liu, M Wu Journal of Process Control 109, 83-92, 2022 | 29 | 2022 |
| Intelligent Nadaboost-ELM modeling method for formation drillability using well logging data C Gan, W Cao, M Wu, X Chen, C Lu, Y Hu, G Wen Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2016 | 18 | 2016 |
| Semi-supervised support vector regression based on data similarity and its application to rock-mechanics parameters estimation X Chen, W Cao, C Gan, Y Ohyama, J She, M Wu Engineering Applications of Artificial Intelligence 104, 104317, 2021 | 16 | 2021 |
| A hybrid reducing error correcting output code for lithology identification X Chen, W Cao, C Gan, W Hu, M Wu IEEE Transactions on Circuits and Systems II: Express Briefs 67 (10), 2254-2258, 2019 | 13 | 2019 |
| An online modeling method for formation drillability based on OS-Nadaboost-ELM algorithm in deep drilling process C Gan, W Cao, M Wu, X Chen, Y Hu, G Wen, H Gao, F Ning, H Ding IFAC-PapersOnLine 50 (1), 12886-12891, 2017 | 13 | 2017 |
| A hybrid partial least squares regression-based real time pore pressure estimation method for complex geological drilling process X Chen, W Cao, C Gan, M Wu Journal of Petroleum Science and Engineering 210, 109771, 2022 | 12 | 2022 |
| A new spatial modeling method for 3D formation drillability field using fuzzy c-means clustering and random forest C Gan, WH Cao, KZ Liu, M Wu Journal of Petroleum Science and Engineering 200, 108371, 2021 | 12 | 2021 |
| Spatial estimation for 3D formation drillability field: A new modeling framework C Gan, WH Cao, KZ Liu, M Wu Journal of Natural Gas Science and Engineering 84, 103628, 2020 | 11 | 2020 |
| To improve drilling efficiency by multi-objective optimization of operational drilling parameters in the complex geological drilling process C Gan, W Cao, K Liu 2018 37th Chinese Control Conference (CCC), 10238-10243, 2018 | 9 | 2018 |
| An improved dynamic optimization control system for the drilling rate of penetration (rop) and its industrial application C Gan, WH Cao, LZ Wang, KZ Liu, M Wu IEEE Transactions on Industrial Electronics 70 (6), 6201-6208, 2022 | 7 | 2022 |
| A hybrid spatial model based on identified conditions for 3D pore pressure estimation X Chen, W Cao, C Gan, M Wu Journal of Natural Gas Science and Engineering 100, 104448, 2022 | 6 | 2022 |
| Design of intelligent drilling system software framework and data architecture based on MVC pattern P Ouyang, W Cao, M Wu, C Gan, F Wang 2019 Chinese Control Conference (CCC), 7075-7078, 2019 | 4 | 2019 |
| A multi-feature extraction-based image identification method for rock debris in the drilling process P Xu, C Gan, L Wang, W Cao 2022 China Automation Congress (CAC), 6666-6671, 2022 | 3 | 2022 |
| Denoising of piecewise constant signal based on total variation D Lv, W Cao, W Hu, C Gan, M Wu Neural Computing and Applications 34 (19), 16341-16349, 2022 | 3 | 2022 |
| Fault detection for geological drilling processes using multivariate generalized Gaussian distribution and Kullback Leibler divergence Y Li, W Cao, W Hu, C Gan, M Wu IFAC-PapersOnLine 53 (2), 164-169, 2020 | 3 | 2020 |
Min WuProfessor, IEEE Fellow, China University of GeosciencesVerified email at cug.edu.cn
