A new parameter for characterizing pore-fracture structure heterogeneity: fractal dimension based on the mercury extrusion curve
Junjian ZHANG, Anan XU, Chengjin ZHAO, Wei WANG, Youlu JIANG, Veerle VANDEGINSTE, Zhengbao XUE, Yuqiang GUO, Heyao MIAO
A new parameter for characterizing pore-fracture structure heterogeneity: fractal dimension based on the mercury extrusion curve
Pressure mercury intrusion test is (MIP) one of the most commonly used methods to characterize pore-fracture structure. Here, we use the fractal dimension of the mercury intrusion curve to analyze the heterogeneity of pore and fracture distribution. Differing from the intrusive mercury curve, the extrusive curve provides a better representation of the seepage capacity of a reservoir. In this paper, the division method of sample types using both mercury invasive parameters (pore volume, pore volume percentage, porosity, permeability) and extrusive parameters (mercury removal efficiency) is discussed. The fractal dimension values of mercury intrusive and extrusive curves are calculated for all samples using the Menger, Thermodynamics, and Multifractal fractal models. Moreover, the fractal significance of the mercury withdrawal curve is examined. The results are as follows. 1) The samples can be divided into three types based on the mercury removal efficiency and total pore volume. Type A is characterized by lower total pore volume (< 0.08 cm3·g−1) and removal efficiency (< 30%), type B has lower total pore volume (< 0.08 cm3·g−1) and higher removal efficiency (> 30%), and type C has larger total pore volume (> 0.08 cm3·g−1) and higher removal efficiency(> 30%). 2) Mercury removal efficiency does not correlate with the mineral composition or total pore volume, but it does show a clear positive correlation with pore volume in the range of 100 to 1000 nm. Unlike the Menger model, the mercury removal curve analyzed using the thermodynamics and multifractal model shows good fractal characteristics. 3) In contrast to the injective curves, the fractal dimension of mercury removal curves exhibits an obvious linear negative correlation with pore structure parameters and mercury removal efficiency. Moreover, the multifractal dimensions D0–D10 obtained from the mercury removal curves show a negative correlation with porosity and permeability. This indicates that fractal dimension based on the mercury extrusion curve can be used as a new parameter for characterizing pore-fracture structure heterogeneity.
pore-fracture structure / mercury extrusion curve / pore structure / porosity / permeability
[1] |
Cai Y, Li Q, Liu D (2018). Insights into matrix compressibility of coals by mercury intrusion porosimetry and N2 adsorption.Int J Coal Geol, 200: 199–212
CrossRef
Google scholar
|
[2] |
Cai Y, Liu D, Pan Z (2016). Investigating the effects of seepage-pores and fractures on coal permeability by fractal analysis.Transp Porous Media, 111(2): 479–497
CrossRef
Google scholar
|
[3] |
Guo X, Yao Y, Liu D (2014). Characteristics of coal matrix compressibility: an investigation by mercury intrusion porosimetry.Energy Fuels, 28(6): 3673–3678
CrossRef
Google scholar
|
[4] |
He D F, Li D S, Zhang G W (2011). Formation and evolution of multi-cycle superposed Sichuan Basin, China.Chinese J Geo, 46(3): 589–606
|
[5] |
Hou H H, Shao L Y, Tang Y, Li Y N, Liang G D, Xin Y L, Zhang J Q (2023). Coal seam correlation in terrestrial basins by sequence stratigraphy and its implications for palaeoclimate and palaeoenvironment evolution.J Earth Sci, 34(2): 1–15
|
[6] |
Hou H H, Shao L Y, Tang Y, Zhao S, Yuan Y, Li Y N, Mu G Y, Zhou Y, Liang G D, Zhang J Q (2020). Quantitative characterization of low-rank coal reservoirs in the southern Junggar Basin, NW China: implications for pore structure evolution around the first coalification jump.Mar Pet Geol, 113: 104165
CrossRef
Google scholar
|
[7] |
Hu Y, Guo Y, Shangguan J (2020). Fractal characteristics and model applicability for pores in tight gas sandstone reservoirs: a case study of the Upper Paleozoic in Ordos Basin.Energy Fuels, 34(12): 16059–16072
CrossRef
Google scholar
|
[8] |
Knackstedt M A, Sahimi M, Roberts G W (1996). Fractal analysis of capillary pressure curves in reservoir rocks.Transport Porous Media, 24: 2–14
|
[9] |
Lai J, Wang G, Wang Z (2018). A review on pore structure characterization in tight sandstones.Earth Sci Rev, 177: 436–457
CrossRef
Google scholar
|
[10] |
Li Y, Yang J, Pan Z, Tong W (2020). Nanoscale pore structure and mechanical property analysis of coal: an insight combining AFM and SEM images.Fuel, 260: 116352
CrossRef
Google scholar
|
[11] |
Peng C, Zou C, Yang Y, Zhang G, Wang W (2017). Fractal analysis of high rank coal from southeast Qinshui basin by using gas adsorption and mercury porosimetry.J Petrol Sci Eng, 156: 235–249
CrossRef
Google scholar
|
[12] |
Schmitt M, Fernandes C P, Da Cunha Neto J A B, Wolf F G, Dos Santos V S S (2013). Characterization of pore systems in seal rocks using nitrogen gas adsorption combined with mercury injection capillary pressure techniques.Mar Pet Geol, 39(1): 138–149
CrossRef
Google scholar
|
[13] |
Song Y, Jiang B, Li F L, Yan G Y, Yao Y P (2018). Applicability of fractal models and nano-pore’s fractal characteristics for low middle rank tectonic deformed coals.Earth Sci, 43(5): 1611–1622
|
[14] |
Su P H, Xia Z H, Qu L C, Yu W, Wang P, Li D W, Kong X W (2018). Fractal characteristics of low-permeability gas sandstones based on a new model for mercury intrusion porosimetry.J Nat Gas Sci Eng, 60: 246–255
CrossRef
Google scholar
|
[15] |
Wang Z, Fu X, Pan J, Deng Z (2023). Effect of N2/CO2 injection and alternate injection on volume swelling/shrinkage strain of coal.Energy, 275: 127377
CrossRef
Google scholar
|
[16] |
Zhang B, Liu W, Liu X (2006). Scale-dependent nature of the surface fractal dimension for bi- and multi-disperse porous solids by mercury porosimetry.Appl Surf Sci, (253): 1349–1355
|
[17] |
Zhang F, Liu S W, Li Q G, Wang Z Q, Han Y G, Yang K, Wu F H (2009). LA-ICP-MS zircon U-Pb geochronology and geological significance of Xiba granitoids from Qinling, central China.Acta Scientiarum Naturalium Universitatis Pekinensisl, 45(5): 832–838
|
[18] |
Zhang J J, Chu X X, Wei C T, Zhang P F, Zou M J, Wang M J, Quan F K, Ju W (2022a). Review on the application of low-field nuclear magnetic resonance technology in coalbed methane production simulation.ACS Omega, 7(30): 26298–26307
CrossRef
Google scholar
|
[19] |
Zhang J J, Hu Q H, Chang X C, Qin Z Y, Zhang X Y, Marsh S, Grebby S, Agarwal V (2022b). Water saturation and distribution variation in coal reservoirs: intrusion and drainage experiments using one- and two-dimensional NMR techniques.Energy Fuels, 36(12): 6130–6143
CrossRef
Google scholar
|
[20] |
Zhang J J, Qin Z Y, Han Y N, Wang H M, Hou M G, Yan G Y, Feng G J, Zhang X Y, Yin T T, Zhang H N, Wen S P (2022c). Pore-fracture distribution heterogeneity of shale reservoirs determined by using HPMI and LPN2 GA tests.Acta Geol Sin Eng Ed, 96(5): 1659–1672
CrossRef
Google scholar
|
[21] |
Zhang P, Lu S, Li J, Chang X (2020). 1D and 2D nuclear magnetic resonance (NMR) relaxation behaviors of protons in clay, kerogen and oil-bearing shale rocks.Mar Pet Geol, 114: 104210
CrossRef
Google scholar
|
[22] |
Zhao C J, Jiang Y L, Liu J D (2022). Occurrence and origin of chlorite and associated impact on tight sandstone reservoir quality: a case study of the Xujiahe Formation (NE Sichuan Basin, China).J Petrol Sci Eng, 209: 109859
CrossRef
Google scholar
|
/
〈 | 〉 |