Research on soil pore structure extraction model for microfluidic chips

LiuWu FU, YiDing WU, XiaoYu LIANG, HongXiang ZHOU

Prog Geophy ›› 2024, Vol. 39 ›› Issue (6) : 2483-2492.

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Prog Geophy ›› 2024, Vol. 39 ›› Issue (6) : 2483-2492. DOI: 10.6038/pg2024II0039

Research on soil pore structure extraction model for microfluidic chips

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Abstract

Due to the opacity of soil, it is difficult to observe the fluid movement and ecological processes inside soil pores in detail, which has always been a difficulty and hot spot in research. Microfluidic chips developed in recent years provide a visualization platform for pore-scale observation. In order to depict a more realistic soil pore structure on the microfluidic chip, this study constructed two two-dimensional soil pore structure models based on the Monte Carlo algorithm and the watershed algorithm. By performing seepage simulation within the structure using the lattice Boltzmann method, the permeability and two-phase flow saturation of the structure were analyzed. Research results show that the pore structure generated by the Monte Carlo algorithm is closer to the real soil sample in terms of pore parameters and permeability, while the pore structure generated by the watershed algorithm is closer to the soil sample in terms of saturation. In addition, the goodness of fit of the multiple linear regression analysis between the simulation results of permeability and saturation and the pore parameters is 0.96 and 0.99 respectively. The hydraulic characteristics of the model are highly correlated with the pore parameters. Therefore, the soil microfluidic structure extraction scheme proposed in this article is better than the traditional cylindrical scheme and is more in line with the actual soil structural characteristics.

Key words

Pore structure / Microfluidic chip / Lattice Boltzmann method / Permeability / Two-phase flow saturation

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LiuWu FU , YiDing WU , XiaoYu LIANG , et al. Research on soil pore structure extraction model for microfluidic chips[J]. Progress in Geophysics. 2024, 39(6): 2483-2492 https://doi.org/10.6038/pg2024II0039

References

Aleklett K , Kiers E T , Ohlsson P , et al. Build your own soil: exploring microfluidics to create microbial habitat structures. The ISME Journal. 2018, 12(2 312 319
Aufrecht J , Khalid M , Walton C L , et al. Hotspots of root-exuded amino acids are created within a rhizosphere-on-a-chip. Lab on a Chip. 2022, 22(5): 954-963
Chen Y , Valocchi A J , Kang Q J , et al. Inertial effects during the process of supercritical CO2 displacing brine in a sandstone: Lattice Boltzmann simulations based on the continuum-surface-force and geometrical wetting models. Water Resources Research. 2019, 55(12): 11144-11165
Dong H , Blunt M J . Pore-network extraction from micro-computerized-tomography images. Physical review E. 2009, 80(3): 036307
Gaol C L , Wegner J , Ganzer L . Real structure micromodels based on reservoir rocks for enhanced oil recovery (EOR) applications. Lab on a Chip. 2020, 20(12): 2197-2208
Katuwal S , Arthur E , Tuller M , et al. Quantification of soil pore network complexity with X-ray computed tomography and gas transport measurements. Soil Science Society of America Journal. 2015, 79(6): 1577-1589
Kravchenko A N , Guber A K , Razavi B S , et al. Microbial spatial footprint as a driver of soil carbon stabilization. Nature Communications. 2019, 10(1): 3121
Latva-Kokko M , Rothman D H . Diffusion properties of gradient-based lattice Boltzmann models of immiscible fluids. Physical Review E. 2005, 71(5): 056702
Muljadi B P , Blunt M J , Raeini A Q , et al. The impact of porous media heterogeneity on non-Darcy flow behaviour from pore-scale simulation. Advances in Water Resources. 2016, 95 329-340
Nie S K , Liu P F , Ba T , et al. Seepage experiment and numerical simulation based on microfluidic chip model. Journal of Zhejiang University (Engineering Science) (in Chinese). 2023, 57(5): 967-996 967-976, 996
Ohser J , Schladitz K . 3D Images of Materials Structures: Processing and Analysis. Hoboken: John Wiley & Sons. 2009
Scheidweiler D , Peter H , Pramateftaki P , et al. Unraveling the biophysical underpinnings to the success of multispecies biofilms in porous environments. The ISME Journal. 2019, 13(7): 1700-1710
She D L , Han X , Sun X Q , et al. Coastal soil pore space network characterization and seepage simulation based on CT scanning. Transactions of the Chinese Society for Agricultural Machinery (in Chinese). 2023, 54(5): 308-323 308-315, 323
Song L , Ning Z F , Duan L . Research on reservoir characteristics of Chang7 tight oil based on nano-CT. Arabian Journal of Geosciences. 2018, 11(16): 472
Wei T T , Fan W , Yuan W N , et al. Three-dimensional pore network characterization of loess and paleosol stratigraphy from South Jingyang Plateau, China. Environmental Earth Sciences. 2019, 78(11): 333
Wolf F G , Siebert D N , Carreño M N P , et al. Dual-porosity micromodels for studying multiphase fluid flow in carbonate rocks. Lab on a Chip. 2022, 22(23): 4680-4692
Zhou H X , Yu X L , Chen C , et al. Evaluating hydraulic properties of biochar-amended soil aggregates by high-performance pore-scale simulations. Soil Science Society of America Journal. 2018, 82(1): 1-9
Zhu Y M , Yue W Z , Zhang X , et al. Advances on the calculation methods of tortuosity in porous media. Progress in Geophysics (in Chinese). 2023, 38(3): 1293-1304
绍凯 , 鹏飞 , , et al. 基于微流控芯片模型的渗流实验与数值模拟. 浙江大学学报(工学版). 2023, 57(5): 967-996 967-976, 996
冬立 , , 枭沁 , et al. 基于CT扫描的滨海土壤孔隙空间网络表征与渗流模拟. 农业机械学报. 2023, 54(5): 308-323 308-315, 323
瑜明 , 文正 , , et al. 多孔介质孔隙结构迂曲度计算方法研究进展. 地球物理学进展. 2023, 38(3): 1293-1304

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