Pore properties controlling permeability prediction in carbonates

Mapping Intimacies ◽

10.22564/16cisbgf2019.284 ◽

2019 ◽

Author(s):

Roseane Missagia ◽

Marco Ceia ◽

Lorena Figueiredo ◽

Irineu Neto

Keyword(s):

Permeability Prediction ◽

Pore Properties

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Faculty Opinions recommendation of Chimeric glutamate receptor subunits reveal the transmembrane domain is sufficient for NMDA receptor pore properties but some positive allosteric modulators require additional domains.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.726673095.793523203 ◽

2016 ◽

Author(s):

Robert Peoples

Keyword(s):

Nmda Receptor ◽

Glutamate Receptor ◽

Transmembrane Domain ◽

Allosteric Modulators ◽

Positive Allosteric Modulators ◽

Pore Properties

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Thermochemical and pore properties of goat-manure-derived biochars prepared from different pyrolysis temperatures

Journal of Analytical and Applied Pyrolysis ◽

10.1016/j.jaap.2014.07.004 ◽

2014 ◽

Vol 109 ◽

pp. 116-122 ◽

Author(s):

Njagga Touray ◽

Wen-Tien Tsai ◽

Huei-Ru Chen ◽

Sii-Chew Liu

Keyword(s):

Goat Manure ◽

Pore Properties

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Fractal analysis of CT images of tight sandstone with anisotropy and permeability prediction

Journal of Petroleum Science and Engineering ◽

10.1016/j.petrol.2021.108919 ◽

2021 ◽

pp. 108919

Author(s):

Yu Yang ◽

Dong Wang ◽

Jingyi Yang ◽

Bin Wang ◽

Tao Liu

Keyword(s):

Fractal Analysis ◽

Ct Images ◽

Tight Sandstone ◽

Permeability Prediction

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Permeability prediction for porous sandstone using digital twin modeling technology and Lattice Boltzmann method

International Journal of Rock Mechanics and Mining Sciences ◽

10.1016/j.ijrmms.2021.104695 ◽

2021 ◽

Vol 142 ◽

pp. 104695

Author(s):

Huaiguang Xiao ◽

Lei He ◽

Jianchun Li ◽

Chunjiang Zou ◽

Chengmeng Shao

Keyword(s):

Lattice Boltzmann Method ◽

Lattice Boltzmann ◽

Digital Twin ◽

Modeling Technology ◽

Permeability Prediction ◽

Porous Sandstone ◽

Boltzmann Method ◽

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Permeability Prediction Method for Dipping Coal Seams at Varying Depths and Production Stages in Northeastern Ordos Basin

Energy & Fuels ◽

10.1021/acs.energyfuels.0c03205 ◽

2021 ◽

Vol 35 (3) ◽

pp. 2016-2023

Author(s):

Quanshu Zeng ◽

Zhiming Wang ◽

Tianhao Huang

Keyword(s):

Ordos Basin ◽

Prediction Method ◽

Permeability Prediction ◽

Production Stages

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Large-Scale Membrane Permeability Prediction of Cyclic Peptides Crossing a Lipid Bilayer Based on Enhanced Sampling Molecular Dynamics Simulations

Journal of Chemical Information and Modeling ◽

10.1021/acs.jcim.1c00380 ◽

2021 ◽

Author(s):

Masatake Sugita ◽

Satoshi Sugiyama ◽

Takuya Fujie ◽

Yasushi Yoshikawa ◽

Keisuke Yanagisawa ◽

...

Keyword(s):

Molecular Dynamics ◽

Molecular Dynamics Simulations ◽

Membrane Permeability ◽

Lipid Bilayer ◽

Cyclic Peptides ◽

Large Scale ◽

Enhanced Sampling ◽

Permeability Prediction ◽

Dynamics Simulations

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Synergetic effects of matrix components and diagenetic processes on pore properties in the Lower Cambrian shale in Sichuan Basin, South China

Journal of Natural Gas Science and Engineering ◽

10.1016/j.jngse.2021.104072 ◽

2021 ◽

pp. 104072

Author(s):

Xin Li ◽

Zhenxue Jiang ◽

Shu Jiang ◽

Shuai Wang ◽

Yanan Miao ◽

...

Keyword(s):

South China ◽

Lower Cambrian ◽

Sichuan Basin ◽

Synergetic Effects ◽

Diagenetic Processes ◽

Matrix Components ◽

Pore Properties

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Construction and experimental analysis of permeability prediction model of unsaturated clay

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06897-8 ◽

2021 ◽

Vol 14 (7) ◽

Author(s):

Yong Wang ◽

Zihan Wang ◽

Han Yan ◽

Shiyu Li ◽

Yunhao Cui

Keyword(s):

Prediction Model ◽

Experimental Analysis ◽

Permeability Prediction ◽

Unsaturated Clay

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Permeability Prediction of Carbonate Rocks Based on Digital Image Analysis and Rock Typing Using Random Forest Algorithm

Energy & Fuels ◽

10.1021/acs.energyfuels.1c01331 ◽

2021 ◽

Author(s):

Zhao Zhang ◽

Zhongxian Cai

Keyword(s):

Image Analysis ◽

Random Forest ◽

Digital Image ◽

Carbonate Rocks ◽

Digital Image Analysis ◽

Random Forest Algorithm ◽

Permeability Prediction ◽

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Characterizing pore volume, sizes, and connectivity in pervious concretes for permeability prediction

Materials Characterization ◽

10.1016/j.matchar.2010.05.004 ◽

2010 ◽

Vol 61 (8) ◽

pp. 802-813 ◽

Author(s):

Narayanan Neithalath ◽

Milani S. Sumanasooriya ◽

Omkar Deo

Keyword(s):

Pore Volume ◽

Permeability Prediction

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