Pore structure characterization and classification using multifractal theory—An application in Santanghu basin of western China X Ge, Y Fan, J Li, MA Zahid
Journal of Petroleum Science and Engineering 127, 297-304, 2015
166 2015 Application of extreme learning machine and neural networks in total organic carbon content prediction in organic shale with wire line logs X Shi, J Wang, G Liu, L Yang, X Ge, S Jiang
Journal of Natural Gas Science and Engineering 33, 687-702, 2016
150 2016 Determination of nuclear magnetic resonance X Ge, Y Fan, X Zhu, Y Chen, R Li
Geophysics 80 (1), D11-D21, 2015
135 2015 A new method for calculating fractal dimensions of porous media based on pore size distribution Y Xia, J Cai, WEI Wei, X Hu, XIN Wang, X Ge
Fractals 26 (01), 1850006, 2018
115 2018 Laboratory investigation into the formation and dissociation process of gas hydrate by low‐field NMR technique X Ge, J Liu, Y Fan, D Xing, S Deng, J Cai
Journal of Geophysical Research: Solid Earth 123 (5), 3339-3346, 2018
104 2018 Investigation of organic related pores in unconventional reservoir and its quantitative evaluation X Ge, Y Fan, Y Cao, J Li, J Cai, J Liu, S Wei
Energy & Fuels 30 (6), 4699-4709, 2016
58 2016 The inversion of 2D NMR relaxometry data using L1 regularization X Zhou, G Su, L Wang, S Nie, X Ge
Journal of Magnetic Resonance 275, 46-54, 2017
49 2017 Determining the transverse surface relaxivity of reservoir rocks: A critical review and perspective X Ge, MT Myers, J Liu, Y Fan, MA Zahid, J Zhao, L Hathon
Marine and Petroleum Geology 126, 104934, 2021
46 2021 A new method for rock brittleness evaluation in tight oil formation from conventional logs and petrophysical data X Shi, J Wang, X Ge, Z Han, G Qu, S Jiang
Journal of Petroleum Science and Engineering 151, 169-182, 2017
46 2017 An improvement of the fractal theory and its application in pore structure evaluation and permeability estimation X Ge, Y Fan, S Deng, Y Han, J Liu
Journal of Geophysical Research: Solid Earth 121 (9), 6333-6345, 2016
44 2016 Application and prospect of low field nuclear magnetic resonancetechnology in accurate characterization of coal pore structure C ZHAI, Y SUN, Y FAN, P YANG, X GE, F WU, J XU, X YU, T LIU, Y ZHAO
Journal of China Coal Society 47 (2), 828-848, 2022
41 2022 Noise reduction of nuclear magnetic resonance (NMR) transversal data using improved wavelet transform and exponentially weighted moving average (EWMA) X Ge, Y Fan, J Li, Y Wang, S Deng
Journal of Magnetic Resonance 251, 71-83, 2015
41 2015 An improved method for permeability estimation of the bioclastic limestone reservoir based on NMR data X Ge, Y Fan, J Liu, L Zhang, Y Han, D Xing
Journal of Magnetic Resonance 283, 96-109, 2017
40 2017 Reservoir Pore Structure Classification Technology of Carbonate Rock Based on NMR T 2 Spectrum Decomposition X Ge, Y Fan, Y Cao, Y Xu, X Liu, Y Chen
Applied Magnetic Resonance 45, 155-167, 2014
38 2014 Permeability evaluation of tight sandstone based on dual T 2 cutoff values measured by NMR YR FAN, JY LIU, XM GE, SG DENG, HL LIU, DN GU
Chinese journal of geophysics 61 (4), 1628-1638, 2018
34 2018 Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning X Hou, G Wang, X Wang, X Ge, Y Fan, R Jiang, S Nie
Journal of the Science of Food and Agriculture 101 (6), 2389-2397, 2021
33 2021 Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance X Hou, G Wang, X Wang, X Ge, Y Fan, S Nie
Journal of Food Composition and Analysis 92, 103566, 2020
32 2020 Response simulation and corresponding analysis of dual laterolog in cavernous reservoirs FAN Yiren, W Lei, GE Xinmin, FAN Zhuoying, WU Zhenguan, LIU Jiaxiong, ...
Petroleum Exploration and Development 43 (2), 261-267, 2016
26 2016 Joint inversion of T1–T2 spectrum combining the iterative truncated singular value decomposition and the parallel particle swarm optimization algorithms X Ge, H Wang, Y Fan, Y Cao, H Chen, R Huang
Computer Physics Communications 198, 59-70, 2016
26 2016 A method to differentiate degree of volcanic reservoir fracture development using conventional well logging data—an application of kernel principal component analysis (KPCA … X Ge, Y Fan, X Zhu, S Deng, Y Wang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
26 2014 