Ikuti
Linqi Zhu
Linqi Zhu
Department of Earth Science and Engineering/I-X, Imperial College London
Email yang diverifikasi di imperial.ac.uk
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
952019
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
922020
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
872019
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
732018
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
692020
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
662019
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
652022
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
432022
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
432021
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
402019
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
382020
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
382017
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
362021
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
352018
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
352017
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
292017
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
262023
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
Sci. Technol. Eng 16 (15), 22-28, 2016
252016
Saturation evaluation for fine-grained sediments
L Zhu, S Wu, X Zhou, J Cai
Geoscience Frontiers 14 (4), 101540, 2023
222023
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
222018
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