Yujie Yuan

Dr. Yujie Yuan

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2018 in International Journal of Coal Geology
Verified
Journal Article
Closed access
YYYujie Yuan
Yujie Yuan
Reza  RezaeeReza Rezaee
Reza Rezaee
MVMichael Verrall
Michael Verrall
SHSi-Yu Hu
Si-Yu Hu
JZJie Zou
Jie Zou
NTNadia Testmanti
Nadia Testmanti

1 June 2019 in Fuel
Verified
Journal Article
Closed access
KLKouqi Liu
Kouqi Liu
Mehdi OstadhassanMehdi Ostadhassan
Mehdi Ostadhassan
LSLiangwei Sun
Liangwei Sun
JZJie Zou
Jie Zou
YYYujie Yuan
Yujie Yuan
Reza  RezaeeReza Rezaee
Reza Rezaee

31 May 2019 in Energies
Verified
Journal Article
Open access
PDF file
YYYujie Yuan
Yujie Yuan
Reza  RezaeeReza Rezaee
Reza Rezaee
Porosity and pore size distribution (PSD) are essential petrophysical parameters controlling permeability and storage capacity in shale gas reservoirs. Various techniques to assess pore structure have been introduced; nevertheless, discrepancies and inconsistencies exist between each of them. This study compares the porosity and PSD in two different shale formations, i.e., the clay-rich Permian Carynginia Formation in the Perth Basin, Western Australia, and the clay-poor Monterey Formation in San Joaquin Basin, USA. Porosity and PSD have been interpreted based on nuclear magnetic resonance (NMR), low-pressure N2 gas adsorption (LP-N2-GA), mercury intrusion capillary pressure (MICP) and helium expansion porosimetry. The results highlight NMR with the advantage of detecting the full-scaled size of pores that are not accessible by MICP, and the ineffective/closed pores occupied by clay bound water (CBW) that are not approachable by other penetration techniques (e.g., helium expansion, low-pressure gas adsorption and MICP). The NMR porosity is largely discrepant with the helium porosity and the MICP porosity in clay-rich Carynginia shales, but a high consistency is displayed in clay-poor Monterey shales, implying the impact of clay contents on the distinction of shale pore structure interpretations between different measurements. Further, the CBW, which is calculated by subtracting the measured effective porosity from total porosity, presents a good linear correlation with the clay content (R2 = 0.76), implying that our correlated equation is adaptable to estimate the CBW in shale formations with the dominant clay type of illite.

17 September 2019 in Energy & Fuels
Verified
Journal Article
Closed access
YYYujie Yuan
Yujie Yuan
Reza  RezaeeReza Rezaee
Reza Rezaee
EAEmad Al-Khdheeawi
Emad Al-Khdheeawi
SHSi-Yu Hu
Si-Yu Hu
MVMichael Verrall
Michael Verrall
KLKouqi Liu
Kouqi Liu


4 May 2022 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
Bin PanBin Pan
Bin Pan
XYXia Yin
Xia Yin
WZWeiyao Zhu
Weiyao Zhu
Yongfei YangYongfei Yang
Yongfei Yang
YJYang Ju
Yang Ju
SIStefan Iglauer
Stefan Iglauer