| Forming a new small sample deep learning model to predict total organic carbon content by combining unsupervised learning with semisupervised learning L Zhu, C Zhang, C Zhang, Z Zhang, X Nie, X Zhou, W Liu, X Wang Applied Soft Computing 83, 105596, 2019 | 84 | 2019 |
| A new and reliable dual model-and data-driven TOC prediction concept: A TOC logging evaluation method using multiple overlapping methods integrated with semi-supervised deep … L Zhu, C Zhang, C Zhang, Z Zhang, X Zhou, W Liu, B Zhu Journal of Petroleum Science and Engineering 188, 106944, 2020 | 83 | 2020 |
| Challenges and prospects of digital core‐reconstruction research L Zhu, C Zhang, C Zhang, X Zhou, Z Zhang, X Nie, W Liu, B Zhu Geofluids 2019 (1), 7814180, 2019 | 78 | 2019 |
| Prediction of total organic carbon content in shale reservoir based on a new integrated hybrid neural network and conventional well logging curves L Zhu, C Zhang, C Zhang, Y Wei, X Zhou, Y Cheng, Y Huang, L Zhang Journal of Geophysics and Engineering 15 (3), 1050-1061, 2018 | 69 | 2018 |
| Random noise attenuation based on residual convolutional neural network in seismic datasets L Yang, W Chen, W Liu, B Zha, L Zhu Ieee Access 8, 30271-30286, 2020 | 64 | 2020 |
| An improved method for evaluating the TOC content of a shale formation using the dual-difference ΔlogR method L Zhu, C Zhang, Z Zhang, X Zhou, W Liu Marine and Petroleum Geology 102, 800-816, 2019 | 61 | 2019 |
| Key factors of marine shale conductivity in southern China—Part II: The influence of pore system and the development direction of shale gas saturation models L Zhu, Y Ma, J Cai, C Zhang, S Wu, X Zhou Journal of Petroleum Science and Engineering 209, 109516, 2022 | 57 | 2022 |
| Mixed gas sources induced co-existence of sI and sII gas hydrates in the Qiongdongnan Basin, South China Sea J Wei, T Wu, L Zhu, Y Fang, J Liang, H Lu, W Cai, Z Xie, P Lai, J Cao, ... Marine and Petroleum Geology 128, 105024, 2021 | 38 | 2021 |
| High-precision calculation of gas saturation in organic shale pores using an intelligent fusion algorithm and a multi-mineral model L Zhu, C Zhang, Z Zhang, X Zhou Advances in Geo-Energy Research 4 (2), 135-151, 2020 | 37 | 2020 |
| A saturation evaluation method in tight gas sandstones based on diagenetic facies X Zhou, C Zhang, Z Zhang, R Zhang, L Zhu, C Zhang Marine and Petroleum Geology 107, 310-325, 2019 | 34 | 2019 |
| A new method for evaluating the pore structure complexity of digital rocks based on the relative value of fractal dimension X Li, W Wei, L Wang, P Ding, L Zhu, J Cai Marine and Petroleum Geology 141, 105694, 2022 | 33 | 2022 |
| Application of Multiboost-KELM algorithm to alleviate the collinearity of log curves for evaluating the abundance of organic matter in marine mud shale reservoirs: a case study … L Zhu, C Zhang, C Zhang, X Zhou, J Wang, X Wang Acta Geophysica 66 (5), 983-1000, 2018 | 32 | 2018 |
| A fractal irreducible water saturation model for capillary tubes and its application in tight gas reservoir Y Cheng, C Zhang, L Zhu Journal of Petroleum Science and Engineering 159, 731-739, 2017 | 32 | 2017 |
| Permeability prediction of the tight sandstone reservoirs using hybrid intelligent algorithm and nuclear magnetic resonance logging data L Zhu, C Zhang, Y Wei, C Zhang Arabian Journal for Science and Engineering 42 (4), 1643-1654, 2017 | 32 | 2017 |
| Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm L Zhu, X Zhou, C Zhang Artificial Intelligence in Geosciences 2, 76-81, 2021 | 28 | 2021 |
| Inversion of the permeability of a tight gas reservoir with the combination of a deep Boltzmann kernel extreme learning machine and nuclear magnetic resonance logging … L Zhu, C Zhang, Y Wei, X Zhou, Y Huang, C Zhang Interpretation 5 (3), T341-T350, 2017 | 27 | 2017 |
| Calculating the total porosity of shale reservoirs by combining conventional logging and elemental logging to eliminate the effects of gas saturation L Zhu, C Zhang, C Guo, Y Jiao, L Chen, X Zhou, C Zhang, Z Zhang Petrophysics 59 (02), 162-184, 2018 | 22 | 2018 |
| Study on the method of prediction of irreducible water saturation by combining mercury intrusion and NMR logging data L Zhu, C Zhang, W Shi, Y Chen, J Liu, C Guo, Y Cheng Science Technology and Engineering 16 (15), 22-29, 2016 | 22 | 2016 |
| Total organic carbon content logging prediction based on machine learning: A brief review L Zhu, X Zhou, W Liu, Z Kong Energy Geoscience 4 (2), 100098, 2023 | 20 | 2023 |
| An improved theoretical nonelectric water saturation method for organic shale reservoirs L Zhu, C Zhang, C Zhang, Z Zhang, X Zhou, B Zhu IEEE access 7, 51441-51456, 2019 | 20 | 2019 |
Jianchao CaiProfessor, China University of Petroleum (Beijing)在 cup.edu.cn 的电子邮件经过验证
