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On-line Access: 2023-07-20

Received: 2022-11-09

Revision Accepted: 2023-02-21

Crosschecked: 2023-07-20

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yaming TANG

https://orcid.org/0000-0002-6368-9410

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Journal of Zhejiang University SCIENCE A 2023 Vol.24 No.7 P.584-595

http://doi.org/10.1631/jzus.A2200528


Fractal analysis of small-micro pores and estimation of permeability of loess using mercury intrusion porosimetry


Author(s):  Tuo LU, Yaming TANG, Yongbo TIE, Bo HONG, Wei FENG

Affiliation(s):  Chinese Academy of Geological Sciences, Beijing 100037, China; more

Corresponding email(s):   tangyaming@mail.cgs.gov.cn

Key Words:  Malan loess, Fractal models, Small-micro pores, Mercury intrusion porosimetry (MIP), Microstructure, Saturated water permeability


Tuo LU, Yaming TANG, Yongbo TIE, Bo HONG, Wei FENG. Fractal analysis of small-micro pores and estimation of permeability of loess using mercury intrusion porosimetry[J]. Journal of Zhejiang University Science A, 2023, 24(7): 584-595.

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Abstract: 
Many popular models have been proposed to study the fractal properties of the pores of porous materials based on mercury intrusion porosimetry (MIP). However, most of these models do not directly apply to the small-micro pores of loess, which have a significant impact on the throat pores and tunnels for fluid flow. Therefore, in this study we used a combination of techniques, including routine physical examination, MIP analysis, and scanning electron microscope (SEM) image analysis, to study these small-micro pores and their saturated water permeability properties. The techniques were used to determine whether the fractal dimensions of six MIP fractal models could be used to evaluate the microstructure types and permeability properties of loess. The results showed that the Neimark model is suitable for analysis of small-micro pores. When applied to saturated water permeability, the results from this model satisfied the correlation significance test and were consistent with those from SEM analysis. A high clay content and density cause an increase in the number of small-micro pores, leading to more roughness and heterogeneity of the pore structure, and an increase in the fractal dimensions. This process further leads to a decrease in the content of macro-meso pores and saturated water permeability. Furthermore, we propose new parameters: the *Ellipse and its area ratios (*EAR). These parameters, coupled with 2D-SEM and 3D-MIP fractal dimensions, can effectively and quantitatively be used to evaluate the types of loess microstructures (from type I to type III) and the saturated water permeability (magnitude from 1×10-4 cm/s to 1×10-5 cm/s).

基于压汞试验的黄土小微孔分维分析及渗透评价

作者:鲁拓1,2,唐亚明3,铁永波4,洪勃3,冯卫3
机构:1中国地质科学院,中国北京,100037;2中国地质大学(北京),水资源与环境学院,中国北京,100083;3中国地质调查局西安地质调查中心,中国西安,710054;4中国地质调查局成都地质调查中心,中国成都,610081
目的:基于压汞法(MIP)的6种分形模型常被用来研究多孔介质的分形特征,但是这些模型中的大多数并不能直接适用于黄土的小微孔,且小微孔隙对水的渗流吼道有显著影响。本文旨在结合常规变水头渗透试验、MIP分析和扫描电镜(SEM)图像等,研究小微孔及其饱和渗透特性,并验证6种MIP分形模型是否可用于评估原状黄土的微结构类型和饱和渗透特征。
创新点:1.结合饱和渗透系数和SEM图像计盒维数等参数进行相关性分析和显著性检验,以确定最适合黄土小微孔的MIP分形模型;2.建立SEM分形维数和MIP分形维数的耦合,并结合黏粒含量,对原状黄土微结构类型进行分类和对饱和渗透系数从1×10?4cm/s变到1×10?5cm/s进行评价。
方法:1.通过压汞试验和6种MIP分形模型公式,得出原状黄土小微孔隙在不同分形模型下的分形维数。2.通过SEM图像和计盒维数计算得出原状黄土小微孔隙的二维分形维数。
结论:1.模型2(Neimark模型)对小微孔隙显示出非常好的线性拟合(拟合系数大于0.94);其分形维数值与黏土含量、密度和饱和渗透系数呈强正相关,并与SEM图像的计盒维数相匹配。2.黏土颗粒含量高会导致小微孔数量增加;这些小微孔会导致孔隙结构的表面粗糙度和不均匀性增加,从而呈现出较大的分形维数;这一过程最终导致大中孔隙和主导流线减少,从而降低饱和渗透性。3.本研究提出了新的分维椭圆及其面积比(*EAR)参数,其中两个主要的半轴由Neimark模型的结果(减2)和计盒维数(减1)组成;*EAR和黏土含量可作为定量评价黄土微结构类型和饱和渗透性的有效参数;当*EAR在35%至50%之间、黏土含量在9%至15%之间时,原状黄土微观结构从Ⅰ型转变为Ⅱ型;当*EAR大于50%、黏土含量大于15%时,微结构进一步从Ⅱ型转变为Ⅲ型;相应地,饱和渗透系数从1×10?4cm/s转变为1×10?5cm/s。

关键词:马兰黄土;分形模型;小微孔;压汞试验;微结构;饱和渗透系数

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]AQSIQ (General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China), 2012. Rock Capillary Pressure Measurement, GB/T 29171-2012. National Standards of the People’s Republic of China(in Chinese).

[2]DouWC, LiuLF, JiaLB, et al., 2021. Pore structure, fractal characteristics and permeability prediction of tight sandstones: a case study from Yanchang formation, Ordos basin, China. Marine and Petroleum Geology, 123:104737.

[3]FriesenWI, MikulaRJ, 1987. Fractal dimensions of coal particles. Journal of Colloid and Interface Science, 120(1):263-271.

[4]HuYB, GuoYH, ShangguanJW, et al., 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.

[5]LeiXY, 1987. Pore types and collapsibility of Chinese loess. Science in China Series B-Chemistry, Biological, Agricultural, Medical & Earth Sciences, 17(12):‍1309-1318 (in Chinese).

[6]LeiXY, 1988. The types of loess pores in China and their relationship with collapsibility. Science in China Series B-Chemistry, Biological, Agricultural, Medical & Earth Sciences, 18(11):1398-1411 (in Chinese).

[7]LiJ, DuQ, SunCX, 2009. An improved box-counting method for image fractal dimension estimation. Pattern Recognition, 42(11):2460-2469.

[8]LiKW, 2010. Analytical derivation of brooks–corey type capillary pressure models using fractal geometry and evaluation of rock heterogeneity. Journal of Petroleum Science and Engineering, 73(1-2):20-26.

[9]LiKW, HorneRN, 2006. Fractal modeling of capillary pressure curves for the geysers rocks. Geothermics, 35(2):‍198-207.

[10]LiP, ZhengM, BiH, et al., 2017. Pore throat structure and fractal characteristics of tight oil sandstone: a case study in the Ordos basin, China. Journal of Petroleum Science and Engineering, 149:665-674.

[11]LiXA, LiLC, 2017. Quantification of the pore structures of Malan loess and the effects on loess permeability and environmental significance, Shaanxi Province, China: an experimental study. Environmental Earth Sciences, 76(15):523.

[12]LiYR, HeSD, DengXH, et al., 2018. Characterization of macropore structure of Malan loess in NW China based on 3D pipe models constructed by using computed tomography technology. Journal of Asian Earth Sciences, 154:271-279.

[13]LiZQ, QiSW, QiZY, et al., 2021. Microstructural insight into the characteristics and mechanisms of compaction during natural sedimentation and man-made filling on the Loess Plateau. Environmental Earth Sciences, 80(19):668.

[14]LiuZ, LiuFY, MaFL, et al., 2016. Collapsibility, composition, and microstructure of loess in China. Canadian Geotechnical Journal, 53(4):673-686.

[15]LuT, TangYM, RenHY, et al., 2022. A new method to determine the segmentation of pore structure and permeability prediction of loess based on fractal analysis. Bulletin of Engineering Geology and the Environment, 81:509.

[16]MaFL, YangJ, BaiXH, 2017. Water sensitivity and microstructure of compacted loess. Transportation Geotechnics, 11:41-56.

[17]MahamudMM, GarcíaV, 2018. Textural characterization of chars using fractal analysis of N2 and CO2 adsorption. Fuel Processing Technology, 169:269-279.

[18]MandelbrotBB, 1982. The Fractal Geometry of Nature. W. H. Freeman, San Francisco, USA.

[19]MOHURD (Ministry of Housing and Urban-Rural Development of the People’s Republic of China), SAMR (State Administration for Market Regulation of the People’s Republic of China), 2019. Standard for Geotechnical Testing Method, GB/T 50123-2019. National Standards of the People’s Republic of China(in Chinese).

[20]MuQY, NgCWW, ZhouC, et al., 2019. Effects of clay content on the volumetric behavior of loess under heating-cooling cycles. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 20(12):979-990.

[21]MuQY, ZhouC, NgCWW, 2020. Compression and wetting induced volumetric behavior of loess: macro- and micro-investigations. Transportation Geotechnics, 23:100345.

[22]MuQY, DongH, LiaoHJ, et al., 2022. Effects of in situ wetting–drying cycles on the mechanical behaviour of an intact loess. Canadian Geotechnical Journal, 59(7):1281-1284.

[23]NeimarkA, 1992. A new approach to the determination of the surface fractal dimension of porous solids. Physica A: Statistical Mechanics and Its Applications, 191(1-4):‍258-262.

[24]PfeiferP, AvnirD, 1983. Chemistry in noninteger dimensions between two and three. I. Fractal theory of heterogeneous surfaces. The Journal of Chemical Physics, 79(7):3558-3565.

[25]PittmanED, 1992. Relationship of porosity and permeability to various parameters derived from mercury injection-capillary pressure curves for sandstone. AAPG Bulletin, 76(2):191-198.

[26]RobinsonRB, 1966. Classification of reservoir rocks by surface texture. AAPG Bulletin, 50(3):547-559.

[27]ShenP, LiK, JiaF, 1995. Quantitative description for the heterogeneity of pore structure by using mercury capillary pressure curves. International Meeting on Petroleum Engineering.

[28]WangJD, LiP, MaY, et al., 2019. Evolution of pore-size distribution of intact loess and remolded loess due to consolidation. Journal of Soils and Sediments, 19(3):1226-1238.

[29]WeiTT, FanW, YuNY, et al., 2019a. Three-dimensional microstructure characterization of loess based on a serial sectioning technique. Engineering Geology, 261:105265.

[30]WeiTT, FanW, YuanWN, et al., 2019b. Three-dimensional pore network characterization of loess and paleosol stratigraphy from South Jingyang Plateau, China. Environmental Earth Sciences, 78(11):333.

[31]WeiYN, FanW, YuB, et al., 2020a. Characterization and evolution of three-dimensional microstructure of Malan loess. CATENA, 192:104585.

[32]WeiYN, FanW, YuNY, et al., 2020b. Permeability of loess from the South Jingyang Plateau under different consolidation pressures in terms of the three-dimensional microstructure. Bulletin of Engineering Geology and the Environment, 79(9):4841-4857.

[33]XiaoT, LiP, ShaoSJ, 2022. Fractal dimension and its variation of intact and compacted loess. Powder Technology, 395:476-490.

[34]XuPP, QianH, ZhangQY, et al., 2022. Investigating saturated hydraulic conductivity of remolded loess subjected to CaCl2 solution of varying concentrations. Journal of Hydrology, 612:128135.

[35]YuB, FanW, DijkstraTA, et al., 2021. Heterogeneous evolution of pore structure during loess collapse: insights from X-ray micro-computed tomography. CATENA, 201:105206.

[36]YuBM, LiJH, 2001. Some fractal characters of porous media. Fractals, 9(3):365-372.

[37]YuJR, ZhouC, MuQY, 2022. Numerical investigation on light non-aqueous phase liquid flow in the vadose zone considering porosity effects on soil hydraulic properties. Vadose Zone Journal, 21(5):e20211.

[38]ZhangBQ, LiSF, 1995. Determination of the surface fractal dimension for porous media by mercury porosimetry. Industrial & Engineering Chemistry Research, 34(4):‍‍1383-1386.

[39]ZhangLX, QiSW, MaLN, et al., 2020. Three-dimensional pore characterization of intact loess and compacted loess with micron scale computed tomography and mercury intrusion porosimetry. Scientific Reports, 10(1):8511.

[40]ZhangZY, WellerA, 2014. Fractal dimension of pore-space geometry of an eocene sandstone formation. Geophysics, 79(6):D377-D387.

[41]ZhouJ, TangYQ, 2018. Experimental inference on dual-porosity aggravation of soft clay after freeze-thaw by fractal and probability analysis. Cold Regions Science and Technology, 153:181-196.

[42]ZhuXM, LiYS, PengXL, et al., 1983. Soils of the loess region in China. Geoderma, 29(3):237-255.

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