Analysis of the spatial variation of the pore network coordination number of porous solids using nitrogen sorption measurements

被引:11
|
作者
Murray, KL
Seaton, NA
Day, MA
机构
[1] Univ Edinburgh, Dept Chem Engn, Edinburgh EH9 3JL, Midlothian, Scotland
[2] ICI PLC, Technol, Res & Technol Ctr, Middlesbrough TS90 8JE, Cleveland, England
[3] Univ Cambridge, Dept Chem Engn, Cambridge CB2 3RA, England
关键词
D O I
10.1021/la980113k
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Mesoporous solids have been characterized by pore size distribution (PSD) obtained by analyzing nitrogen isotherms. Seaton and co-workers have formed an analysis that uses sorption hysteresis to characterize the connectivity of pore network. A comparison between simulated and experimental desorption isotherms suggest that spatial variation of coordination number among the microparticles is a plausible interpretation of the long hysteresis loop tails. However, a new analysis developed allowed the estimation of the variation in coordination numbers among the microparticles by assuming that two values of Z are present in the solid.
引用
收藏
页码:4953 / 4954
页数:2
相关论文
共 29 条
  • [21] Analysis of Fundamentals of Two-Phase Flow in Porous Media Using Dynamic Pore-Network Models: A Review
    Joekar-Niasar, V.
    Hassanizadeh, S. M.
    CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2012, 42 (18) : 1895 - 1976
  • [22] Analysis of the influence of wettability on permeability in hydrate-bearing porous media using pore network models combined with computed tomography
    Wang, Jiaqi
    Zhao, Jiafei
    Zhang, Yi
    Wang, Dayong
    Li, Yanghui
    Song, Yongchen
    JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 : 1372 - 1379
  • [23] Analysis of the effect of particle size on permeability in hydrate-bearing porous media using pore network models combined with CT
    Wang, Jiaqi
    Zhao, Jiafei
    Zhang, Yi
    Wang, Dayong
    Li, Yanghui
    Song, Yongchen
    FUEL, 2016, 163 : 34 - 40
  • [24] Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical Bayesian Model
    Wang, Zhensheng
    Yue, Yang
    Li, Qingquan
    Nie, Ke
    Yu, Changbin
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (02)
  • [25] Capturing the urban canyon effect on particle number concentrations across a large road network using spatial analysis tools
    Farrell, William J.
    Cavellin, Laure Deville
    Weichenthal, Scott
    Goldberg, Mark
    Hatzopoulou, Marianne
    BUILDING AND ENVIRONMENT, 2015, 92 : 328 - 334
  • [26] Spatial Variability Analysis of Within-Field Winter Wheat Nitrogen and Grain Quality Using Canopy Fluorescence Sensor Measurements
    Song, Xiaoyu
    Yang, Guijun
    Yang, Chenghai
    Wang, Jihua
    Cui, Bei
    REMOTE SENSING, 2017, 9 (03)
  • [27] Estimation of Pore-Network Characteristics and Irreducible Saturations in Wolfcamp and Eagle Ford Shales Using Low-Pressure-Nitrogen-Adsorption/Desorption-Isotherm Measurements
    Ojha, Shiv Prakash
    Misra, Siddharth
    Tinni, Ali
    Sondergeld, Carl
    Rai, Chandra
    SPE RESERVOIR EVALUATION & ENGINEERING, 2018, 21 (02) : 373 - 391
  • [28] Spatial distribution pattern analysis of groundwater nitrate nitrogen pollution in Shandong intensive farming regions of China using neural network method
    Huang, Jianxi
    Xu, Jingyu
    Liu, Xingquan
    Liu, Jia
    Wang, Limin
    MATHEMATICAL AND COMPUTER MODELLING, 2011, 54 (3-4) : 995 - 1004
  • [29] Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis
    Chen, Baozhang
    Coops, Nicholas C.
    Fu, Dongjie
    Margolis, Hank A.
    Amiro, Brian D.
    Black, T. Andrew
    Arain, M. Altaf
    Barr, Alan G.
    Bourque, Charles P. -A.
    Flanagan, Lawrence B.
    Lafleur, Peter M.
    McCaughey, J. Harry
    Wofsy, Steven C.
    REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 742 - 755