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Guangzhi Liao

Showing results (1-10 of 34) with videos related to

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Journal of Magnetic Resonance (San Diego, Calif. : 1997)|March 2, 2021
Borehole Nuclear Magnetic Resonance Study at the China University of PetroleumGuangzhi Liao, Sihui Luo, Lizhi Xiao
Magnetic Resonance Imaging|October 7, 2018
T<sub>1</sub>-D-T<sub>2</sub> correlation of porous media with compressed sensing at low-field NMRYan Zhang, Lizhi Xiao, Xin Li, et al.
Magnetic Resonance Letters|September 8, 2025
Numerical simulation study on the effect of temperature on the restricted diffusion in porous mediaZhen Xie, Lizhi Xiao, Sihui Luo, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|April 26, 2016
Direct correlation of internal gradients and pore size distributions with low field NMRYan Zhang, Lizhi Xiao, Guangzhi Liao, et al.
Magnetic Resonance Imaging|December 4, 2018
WITHDRAWN: NMR characterizing mixed wettability under intermediate-wet conditionJie Wang, Lizhi Xiao, Yan Zhang, et al.
Magnetic Resonance Imaging|October 22, 2018
Characterization of porous media by T<sub>2</sub>-T<sub>2</sub> correlation beyond fast diffusion limitZhou Yu, Yan Zhang, Lizhi Xiao, et al.
Journal of Colloid and Interface Science|June 20, 2020
Visualizing in-situ emulsification in porous media during surfactant flooding: A microfluidic studyXuezhi Zhao, Yujun Feng, Guangzhi Liao, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|July 3, 2016
Direct correlation of diffusion and pore size distributions with low field NMRYan Zhang, Lizhi Xiao, Guangzhi Liao, et al.
Magnetic Resonance Imaging|October 23, 2018
The downhole circumferential scanning magnetic resonance imaging toolWei Liu, Lizhi Xiao, Guangzhi Liao, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|December 16, 2022
A study on multi-exponential inversion of nuclear magnetic resonance relaxation data using deep learningGang Luo, Lizhi Xiao, Sihui Luo, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|March 2, 2021
Borehole Nuclear Magnetic Resonance Study at the China University of PetroleumGuangzhi Liao, Sihui Luo, Lizhi Xiao
Magnetic Resonance Imaging|October 7, 2018
T<sub>1</sub>-D-T<sub>2</sub> correlation of porous media with compressed sensing at low-field NMRYan Zhang, Lizhi Xiao, Xin Li, et al.
Magnetic Resonance Letters|September 8, 2025
Numerical simulation study on the effect of temperature on the restricted diffusion in porous mediaZhen Xie, Lizhi Xiao, Sihui Luo, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|April 26, 2016
Direct correlation of internal gradients and pore size distributions with low field NMRYan Zhang, Lizhi Xiao, Guangzhi Liao, et al.
Magnetic Resonance Imaging|December 4, 2018
WITHDRAWN: NMR characterizing mixed wettability under intermediate-wet conditionJie Wang, Lizhi Xiao, Yan Zhang, et al.
Magnetic Resonance Imaging|October 22, 2018
Characterization of porous media by T<sub>2</sub>-T<sub>2</sub> correlation beyond fast diffusion limitZhou Yu, Yan Zhang, Lizhi Xiao, et al.
Journal of Colloid and Interface Science|June 20, 2020
Visualizing in-situ emulsification in porous media during surfactant flooding: A microfluidic studyXuezhi Zhao, Yujun Feng, Guangzhi Liao, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|July 3, 2016
Direct correlation of diffusion and pore size distributions with low field NMRYan Zhang, Lizhi Xiao, Guangzhi Liao, et al.
Magnetic Resonance Imaging|October 23, 2018
The downhole circumferential scanning magnetic resonance imaging toolWei Liu, Lizhi Xiao, Guangzhi Liao, et al.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)|December 16, 2022
A study on multi-exponential inversion of nuclear magnetic resonance relaxation data using deep learningGang Luo, Lizhi Xiao, Sihui Luo, et al.
Pageof 4