scholarly journals Imaging data analyses for hazardous waste applications. Final report

1995 ◽  
Author(s):  
N. David ◽  
I.W. Ginsberg
Keyword(s):  
Hazardous Waste ◽  
Final Report ◽  
Imaging Data ◽  
Data Analyses

Implications of Peak Selection in the Interpretation of Unsupervised Mass Spectrometry Imaging Data Analyses

2021 ◽  
Author(s):  
Teresa Murta ◽  
Rory T. Steven ◽  
Chelsea J. Nikula ◽  
Spencer A. Thomas ◽  
Lucas B. Zeiger ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
Imaging Data ◽  
Data Analyses

scholarly journals Portable sensor for hazardous waste. Final report, March 31, 1995--May 31, 1997

1997 ◽  
Author(s):  
L.G. Piper ◽  
A.J.R. Hunter ◽  
M.E. Fraser ◽  
S.H. Davis ◽  
M.L. Finson
Keyword(s):  
Hazardous Waste ◽  
Final Report ◽  
Portable Sensor

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.

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