Multimodal Zeolite-Beta-Based Catalysts with a Hierarchical, Three-level Pore Structure

ChemSusChem ◽  
2011 ◽  
Vol 4 (10) ◽  
pp. 1452-1456 ◽  
Author(s):  
Li-Hua Chen ◽  
Xiao-Yun Li ◽  
Ge Tian ◽  
Yu Li ◽  
Hai-Yan Tan ◽  
...  
Keyword(s):  
Pore Structure ◽  
Zeolite Beta

Influence of Steam Activation on Pore Structure and Acidity of Zeolite Beta: An Al K Edge XANES Study of Aluminum Coordination

2002 ◽  
Vol 211 (2) ◽  
pp. 540-547 ◽  
Author(s):  
J.A. van Bokhoven ◽  
D.C. Koningsberger ◽  
P. Kunkeler ◽  
H. van Bekkum
Keyword(s):  
Pore Structure ◽  
Zeolite Beta ◽  
Steam Activation

Chiral zeolite beta: structure, synthesis, and application

2019 ◽  
Vol 6 (8) ◽  
pp. 1938-1951 ◽  
Author(s):  
Tingting Lu ◽  
Wenfu Yan ◽  
Ruren Xu
Keyword(s):  
Pore Structure ◽  
Asymmetric Catalysis ◽  
Chiral Separations ◽  
Zeolite Beta ◽  
Structure Synthesis ◽  
Potential Applications ◽  
Beta Structure

Pure polymorph-A of zeolite beta with chiral pore structure has potential applications in asymmetric catalysis and chiral separations.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

Author response for "Effect of lithofacies on pore structure of the Cambrian organic‐rich shale in northern Guizhou, China"

2020 ◽  
Author(s):  
Peng Xia ◽  
Hongnan Li ◽  
Yong Fu ◽  
Wenlang Qiao ◽  
Chuan Guo ◽  
...  
Keyword(s):  
Pore Structure ◽  
Author Response

Modification of activated carbon fiber pore structure by coke deposition

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-279-Pr3-286
Author(s):  
X. Dabou ◽  
P. Samaras ◽  
G. P. Sakellaropoulos
Keyword(s):  
Activated Carbon ◽  
Carbon Fiber ◽  
Pore Structure ◽  
Activated Carbon Fiber ◽  
Coke Deposition
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