Understanding the pore-structure dependence of supercapacitive performance for microporous carbon in aqueous KOH and H2SO4 electrolytes

2021 ◽  
pp. 139422
Author(s):  
Mingzhe Liu ◽  
Xinping Yang ◽  
Xiaozhong Wu ◽  
Xin Wang ◽  
Yanyan Li ◽  
...  
Keyword(s):  
Pore Structure ◽  
Microporous Carbon ◽  
Supercapacitive Performance ◽  
Structure Dependence

Pore structure dependence with the sintering time for dense ceramic bulk YBa2Cu3Oy

2013 ◽  
Vol 39 (3) ◽  
pp. 3001-3006 ◽  
Author(s):  
J.L. Gonzalez ◽  
C.K. Piumbini ◽  
W.L. Scopel ◽  
F. Deleprani ◽  
A. Gomes ◽  
...  
Keyword(s):  
Pore Structure ◽  
Structure Dependence ◽  
Sintering Time ◽  
Dense Ceramic

Ordered hierarchical mesoporous/microporous carbon with optimized pore structure for supercapacitors

2013 ◽  
Vol 1 (4) ◽  
pp. 1192-1200 ◽  
Author(s):  
Dan-Dan Zhou ◽  
Yuan-Jin Du ◽  
Yan-Fang Song ◽  
Yong-Gang Wang ◽  
Cong-Xiao Wang ◽  
...  
Keyword(s):  
Pore Structure ◽  
Microporous Carbon

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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