Literature DB >> 9939522

Quantitative prediction of permeability in porous rock.

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Abstract

Year:  1986        PMID： 9939522     DOI： 10.1103/physrevb.34.8179

Source DB:  PubMed          Journal:  Phys Rev B Condens Matter        ISSN： 0163-1829


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  8 in total

1.  Programmed sample delivery on a pressurized paper.

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2.  Comparative study and discussion of diagenetic facies and conductivity characteristics based on experiments.

Authors:  Xueqing Zhou; Zhansong Zhang; Chaomo Zhang
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3.  Pore Structure Characterization of Eocene Low-Permeability Sandstones via Fractal Analysis and Machine Learning: An Example from the Dongying Depression, Bohai Bay Basin, China.

Authors:  Yan Lu; Keyu Liu
Journal:  ACS Omega       Date:  2021-04-23

4.  Influence of Binders and Lightweight Aggregates on the Properties of Cementitious Mortars: From Traditional Requirements to Indoor Air Quality Improvement.

Authors:  Chiara Giosuè; Mattia Pierpaoli; Alessandra Mobili; Maria Letizia Ruello; Francesca Tittarelli
Journal:  Materials (Basel)       Date:  2017-08-22       Impact factor: 3.623

5.  Study on Surface Permeability of Concrete under Immersion.

Authors:  Jun Liu; Feng Xing; Biqin Dong; Hongyan Ma; Dong Pan
Journal:  Materials (Basel)       Date:  2014-01-28       Impact factor: 3.623

6.  Fabrication of Macroporous Biomorphic SiC from Cellulose Nanofibers Aerogel.

Authors:  Mingjie Wang; Fu Liu; Yao Chen; Jianmin Gao
Journal:  Materials (Basel)       Date:  2018-11-30       Impact factor: 3.623

7.  Predicting permeability via statistical learning on higher-order microstructural information.

Authors:  Magnus Röding; Zheng Ma; Salvatore Torquato
Journal:  Sci Rep       Date:  2020-09-17       Impact factor: 4.379

8.  Relationship between the Size of the Samples and the Interpretation of the Mercury Intrusion Results of an Artificial Sandstone.

Authors:  Hua Dong; Hongzhi Zhang; Yibing Zuo; Peng Gao; Guang Ye
Journal:  Materials (Basel)       Date:  2018-01-27       Impact factor: 3.623
  8 in total

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