Guangjun Feng

Dr. Guangjun Feng

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

View All Publications
1 January 2022 in Adsorption Science & Technology
Verified
Journal Article
Open access
PDF file
GFGuangjun Feng
Guangjun Feng
XZXinzhuo Zhao
Xinzhuo Zhao
Meng WangMeng Wang
Meng Wang
YSYu Song
Yu Song
SZSijian Zheng
Sijian Zheng
ZYZhenjiang You
Zhenjiang You
Pore structure and methane adsorption of coal reservoir are closely correlated to the coalbed gas occurrence and outburst. Full-scale pore structure and its fractal heterogeneity of coal samples were quantitatively characterized using low-pressure N2 gas adsorption (LP-N2GA) and high-pressure mercury intrusion porosimetry (HP-MIP). Fractal pore structure and adsorption capacities between outburst and nonoutburst coals were compared, and their geological significance to gas occurrence and outburst was discussed. The results show that pore volume (PV) is mainly contributed by macropores (>1000 nm) and mesopores (100–1000 nm), while specific surface area (SSA) is dominated by micropores (<10 nm) and transition pores (10–100 nm). On average, the PV and SSA of outburst coal samples are 4.56 times and 5.77 times those of nonoutburst coal samples, respectively, which provide sufficient place for gas adsorption and storage. The pore shape is dominated by semiclosed pores in the nonoutburst coal, whereas open pores and inkbottle pores are prevailing in the outburst coal. The pore size is widely distributed in the outburst coal, in which not only micropores are dominant, but also, transition pores and mesopores are developed to a certain extent. Based on the data from HP-MIP and LP-N2GA, pore spatial structure and surface are of fractal characteristics with fractal dimensions [ ] (2.81–2.97) and [ ] (2.50–2.73) calculated by Menger model and Frenkel–Halsey–Hill (FHH) model, respectively. The pore structure in the outburst coal is more heterogeneous as its [ ] and [ ] are generally larger than those of the nonoutburst coal. The maximum methane adsorption capacities ([ ]: 15.34–20.86 cm3/g) of the outburst coal are larger than those of the nonoutburst coal ([ ]: 9.97–13.51cm3/g). The adsorptivity of coal samples is governed by the micropores, transition pores, and [ ] because they are positively correlated with the SSA. The outburst coal belongs to tectonically deformed coal (TDC) characterized by weak strength, rich microporosity, complex pore structure, strong adsorption capacity, but poor pore connectivity because of inkbottle pores. Therefore, the area of TDC is at high risk for gas outburst as there is a high-pressure gas sealing zone with abundant gas enrichment but limited gas migration and extraction.


13 February 2024 in Energy & Fuels
Verified
Journal Article
Closed access
GFGuangjun Feng
Guangjun Feng
Wu LiWu Li
Wu Li
YZYanming Zhu
Yanming Zhu
XWXuheng Wang
Xuheng Wang
YWYang Wang
Yang Wang
FSFuhua Shang
Fuhua Shang

30 September 2024 in Fractal and Fractional
Verified
Journal Article
Open access
PDF file
BZBaoyuan Zhong
Baoyuan Zhong
YZYanming Zhu
Yanming Zhu
GFGuangjun Feng
Guangjun Feng
JXJie Xiang
Jie Xiang
YWYang Wang
Yang Wang
The application of high-pressure fluid induces the closure of isolated pores inside the matrix and promotes the generation of new fractures, resulting in a compressive effect on the matrix. To examine the compressibility of coal-measure shale samples, the compression of the coal–shale matrix in the high-pressure stage was analyzed by a low-pressure nitrogen gas adsorption and mercury intrusion porosimetry experiment. The quantitative parameters describing the heterogeneity of the pore-size distribution of coal-measure shale are obtained using multifractal theory. The results indicate that the samples exhibit compressibility values ranging from 0.154 × 10−5 MPa−1 to 4.74 × 10−5 MPa−1 across a pressure range of 12–413 MPa. The presence of pliable clay minerals enhances the matrix compressibility, whereas inflexible brittle minerals exhibit resistance to matrix compression. There is a reduction in local fluctuations of pore volume across different pore sizes, an improvement in the autocorrelation of PSD, and a mitigation of nonuniformity after correction. Singular and dimension spectra have advantages in multifractal characterization. The left and right spectral width parameters of the singular spectrum emphasize the local differences between the high- and low-value pore volume areas, respectively, whereas the dimensional spectrum width is more suitable for reflecting the overall heterogeneity of the PSD.

8 August 2025 in Fuel
Verified
Journal Article
Closed access
HXHong Xie
Hong Xie
YZYanming Zhu
Yanming Zhu
YLYu Liu
Yu Liu
GFGuangjun Feng
Guangjun Feng

23 May 2024 in ACS Omega
Verified
Journal Article
Open access
PYPeng Yao
Peng Yao
Junjian ZhangJunjian Zhang
Junjian Zhang
ZQZHENYUAN QIN
ZHENYUAN QIN
AFAiping Fan
Aiping Fan
GFGuangjun Feng
Guangjun Feng
XZXiaoyang Zhang
Xiaoyang Zhang
Pore structure heterogeneity affects sandstone porosity and permeability and thus sandstone gas productivity. A total of 17 sandstone samples collected from the northwestern margin of the Junggar Basin in Xinjiang Province are investigated in this study. The pore-fracture system distribution of target sandstones is studied by high-pressure mercury injection tests. On this basis, single- and multi-fractal models are used to characterize pore structure heterogeneity, and the applicability of four models (Menger model, Sierpinski model, Thermodynamic model, multifractal model) to characterize pore and fracture distribution heterogeneity are discussed. Moreover, a correlation between fractal dimension, pore structure parameters, and variation coefficient of porosity-permeability is discussed based on overburden permeability test results. The results are as follows. (1) D S (fractal dimension of Sierpinski model) shows a significant correlation with pore volume percentage, so the Sierpinski model could better characterize fracture distribution heterogeneity quantitatively. Multifractal dimensions are consistent with those of Sierpinski and Thermodynamic models, which indicates that the single- and multiple-fractal models are consistent. (2) The porosity and permeability decrease as a power function with higher confining pressure. The porosity and permeability behavior changes at a critical conversion pressure value. For a confining pressure lower than this critical value, the porosity and permeability decrease largely. For confining pressures higher than this critical value, the porosity and permeability vary less. In contrast, permeability has a larger variation rate and is more obviously affected by confining pressure. (3) Pore compression space is affected by the permeability variation coefficient. Compressibility, porosity, and permeability variation coefficient have no relationship with pore structure parameters since compressibility is affected by pore structure, mineral composition, and other factors in sandstone samples.