Influence of extractable organic matters on pore structure and its evolution of Chang 7 member shales in the Ordos Basin, China: Implications from extractions using various solvents

2020 ◽  
Vol 79 ◽  
pp. 103370
Author(s):  
Yan Cao ◽  
Hui Han ◽  
Chen Guo ◽  
Peng Pang ◽  
Zhen-gang Ding ◽  
...  

2017 ◽  
Author(s):  
Fengyang Xiong ◽  
◽  
Zhenxue Jiang ◽  
Mohammad Amin Amooie ◽  
Mohamad Reza Soltanian ◽  
...  


Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 583 ◽  
Author(s):  
Xiaohong Li ◽  
Zhiyong Gao ◽  
Siyi Fang ◽  
Chao Ren ◽  
Kun Yang ◽  
...  

The characteristics of the nanopore structure in shale, tight sandstone and mudstone from the Ordos Basin of China were investigated by X-ray diffraction (XRD) analysis, porosity and permeability tests and low-pressure nitrogen adsorption experiments. Fractal dimensions D1 and D2 were determined from the low relative pressure range (0 < P/P0 < 0.4) and the high relative pressure range (0.4 < P/P0 < 1) of nitrogen adsorption data, respectively, using the Frenkel–Halsey–Hill (FHH) model. Relationships between pore structure parameters, mineral compositions and fractal dimensions were investigated. According to the International Union of Pure and Applied Chemistry (IUPAC) isotherm classification standard, the morphologies of the nitrogen adsorption curves of these 14 samples belong to the H2 and H3 types. Relationships among average pore diameter, Brunner-Emmet-Teller (BET) specific surface area, pore volume, porosity and permeability have been discussed. The heterogeneities of shale nanopore structures were verified, and nanopore size mainly concentrates under 30 nm. The average fractal dimension D1 of all the samples is 2.1187, varying from 1.1755 to 2.6122, and the average fractal dimension D2 is 2.4645, with the range from 2.2144 to 2.7362. Compared with D1, D2 has stronger relationships with pore structure parameters, and can be used for analyzing pore structure characteristics.



2020 ◽  
Vol 118 ◽  
pp. 104439
Author(s):  
Juncheng Qiao ◽  
Jianhui Zeng ◽  
Shu Jiang ◽  
Yongchao Zhang ◽  
Sen Feng ◽  
...  




2019 ◽  
Vol 100 ◽  
pp. 270-284 ◽  
Author(s):  
Hui Han ◽  
Peng Pang ◽  
Zhao-liang Li ◽  
Pi-tong Shi ◽  
Chen Guo ◽  
...  


2015 ◽  
Vol 26 ◽  
pp. 1422-1432 ◽  
Author(s):  
Haijiao Fu ◽  
Xiangzeng Wang ◽  
Lixia Zhang ◽  
Ruimin Gao ◽  
Zongtian Li ◽  
...  


Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5282
Author(s):  
Yanyan Li ◽  
Zhihong Zhang ◽  
Siyu Wei ◽  
Peng Yang ◽  
Yanjun Shang

Pores of shale exhibit multiscale characteristics, and pore characterization is challenging due to the complexity of pore systems. Currently, research is focused on nano-submicron pores, but the structure of micrometer-scaled pores is not well understood. In this research, an investigation of the three-dimensional pore network of the Chang 7 shale in the Ordos Basin of China was conducted, in order to provide an insight into the full characteristics of pore systems. Nano-CT and micro-CT scanning technology was used to comprehensively delineate the pore structure at different scales, for further understanding the gas storage mechanism in shale rocks. Results show that the radius of micro-scale pores ranges from 1 to 15 μm, with an average of 2.8 μm, and pores with radii of 1–5 μm occupy approximately 90% of all the pores. For the nano-scale pores, the size ranges from 86 to 2679 nm, with an average of 152 nm, yet it has a rather concentrated distribution within 300 nm. The nano-scale pores constitute most of the pore amount in the shale, whereas the micro-scale pores constitute most of the pore volumes. Moreover, the results show that more than 70% of nano-scale pores in the Chang 7 shale are isolated pores, indicating that pore bodies formed in the shale reservoir have poor connectivity. Positive linear relationships between pore sizes and the number of pore throats at the micro-scale and nano-scale were both obtained, suggesting that larger pores tend to have better connectivity than smaller pores.



Fuel ◽  
2019 ◽  
Vol 241 ◽  
pp. 417-431 ◽  
Author(s):  
Yong Li ◽  
Zhuangsen Wang ◽  
Zhejun Pan ◽  
Xinlei Niu ◽  
Yun Yu ◽  
...  


Sign in / Sign up

Export Citation Format

Share Document