Qiming Wang

Dr. Qiming Wang

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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23 July 2023 in Geoscience Frontiers
Verified
Journal Article
Open access
LBLonghui Bai
Longhui Bai
Bo LiuBo Liu
Bo Liu
XFXiaofei Fu
Xiaofei Fu
QHQinhong Hu
Qinhong Hu
QHQiuli Huo
Qiuli Huo
MOMehdi Ostadhassan
Mehdi Ostadhassan

25 January 2023 in Journal of Hydrology
Verified
Journal Article
Closed access
XYXiaoqing Yuan
Xiaoqing Yuan
QHQinhong Hu
Qinhong Hu
XLXiang Lin
Xiang Lin
CZChen Zhao
Chen Zhao
QWQiming Wang
Qiming Wang
XLXiaodong Li
Xiaodong Li

17 August 2022 in International Journal of Coal Geology
Verified
Journal Article
Closed access
QWQiming Wang
Qiming Wang
QHQinhong Hu
Qinhong Hu
CZChen Zhao
Chen Zhao
XYXiaoguang Yang
Xiaoguang Yang
Tao ZhangTao Zhang
Tao Zhang
Yukio TachiYukio Tachi
Yukio Tachi


16 May 2023 in Nanomaterials
Verified
Journal Article
Open access
PDF file
QWQiming Wang
Qiming Wang
QHQinhong Hu
Qinhong Hu
CZChen Zhao
Chen Zhao
YWYang Wang
Yang Wang
TZTao Zhang
Tao Zhang
YSYi Shu
Yi Shu
Laboratory-scale analysis of natural rocks provides petrophysical properties such as density, porosity, pore diameter/pore-throat diameter distribution, and fluid accessibility, in addition to the size and shape of framework grains and their contact relationship with the rock matrix. Different types of laboratory approaches for petrophysical characterization involve the use of a range of sample sizes. While the sample sizes selected should aim to be representative of the rock body, there are inherent limitations imposed by the analytical principles and holding capacities of the different experimental apparatuses, with many instruments only able to accept samples at the μm–mm scale. Therefore, a total of nine (three limestones, three shales, two sandstones, and one dolomite) samples were collected from Texas to fill the knowledge gap of the sample size effect on the resultant petrophysical characteristics. The sample sizes ranged from 3 cm cubes to <75 μm particles. Using a combination of petrographic microscopy, helium expansion pycnometry, water immersion porosimetry, mercury intrusion porosimetry, and (ultra-) small-angle X-ray scattering, the impact of sample size on the petrophysical properties of these samples was systematically investigated here. The results suggest that the sample size effect is influenced by both pore structure changes during crushing and sample size-dependent fluid-to-pore connectivity.

11 November 2024 in Fractal and Fractional
Verified
Journal Article
Open access
PDF file
XLXiaofei Liang
Xiaofei Liang
QHQinhong Hu
Qinhong Hu
XPXiugang Pu
Xiugang Pu
XLXiaofei Liang
Xiaofei Liang
QWQiming Wang
Qiming Wang
WHWenzhong Han
Wenzhong Han
By using gas physisorption and multifractal theory, this study analyzes pore structure heterogeneity and influencing factors during thermal maturation of naturally immature but artificially matured shale from the Kongdian Formation after being subjected to hydrous pyrolysis from 250 °C to 425 °C. As thermal maturity increases, the transformation of organic matter, generation, retention, and expulsion of hydrocarbons, and formation of various pore types, lead to changes in pore structure heterogeneity. The entire process is divided into three stages: bitumen generation stage (250–300 °C), oil generation stage (325–375 °C), and oil cracking stage (400–425 °C). During the bitumen generation stage, retained hydrocarbons decrease total-pore and mesopore volumes. Fractal parameters ΔD indicative of pore connectivity shows little change, while Hurst exponent H values for pore structure heterogeneity drop significantly, indicating reduced pore connectivity due to bitumen clogging. During the peak oil generation stage, both ΔD and H values increase, indicating enhanced pore heterogeneity and connectivity due to the expulsion of retained hydrocarbons. In the oil cracking stage, ΔD increases significantly, and H value rises slowly, attributed to the generation of gaseous hydrocarbons further consuming retained hydrocarbons and organic matter, forming more small-diameter pores and increased pore heterogeneity. A strongly negative correlation between ΔD and retained hydrocarbon content, and a strongly positive correlation with gaseous hydrocarbon yield, highlight the dynamic interaction between hydrocarbon phases and pore structure evolution. This study overall provides valuable insights for petroleum generation, storage, and production.