empirical correlation for porosity deduction from x-ray computed tomography (ct)
Authors
abstract
for obtaining reservoir petrophysical properties, for example porosity, non-destructive methods such as x-ray computed tomography, ct, seems to be precise and accurate. porosity is deducted from the ct image with a single scan via different techniques, such as pore space detection by image segmentation techniques then correlation with porosity. more than one hundred samples with carbonate lithology have been scanned and analyzed in this study which leads to empirical correlation used for porosity calculation from ct data. the samples mainly grouped as dolostone, limestone and carbonate with respect to their mineral contents, having porosity ranges between 4.56 to 30.5 % and permeability from 0.25 to 3350.8 md. the results showed that the effect of atomic number is higher than the density on ct image. it is because density and atomic number in carbonate mineral (calcite and dolomite) show diverse relations. thus, the assumption of known lithology would be a large source of error. a good linear relationship exists between the porosity and ct no. according to the developed correlations.
similar resources
Empirical correlation for porosity deduction from X-ray computed tomography (CT)
For obtaining reservoir petrophysical properties, for example porosity, non-destructive methods such as X-ray computed tomography, CT, seems to be precise and accurate. Porosity is deducted from the CT image with a single scan via different techniques, such as pore space detection by image segmentation techniques then correlation with porosity. More than one hundred samples with carbonate li...
full textempirical correlation for porosity deduction from x-ray computed tomography (ct)
for obtaining reservoir petrophysical properties, for example porosity, non-destructive methods such as x-ray computed tomography, ct, seems to be precise and accurate. porosity is deducted from the ct image with a single scan via different techniques, such as pore space detection by image segmentation techniques then correlation with porosity. more than one hundred samples with carbonate litho...
full textPorosity Measurement Method by X-ray Computed Tomography
Therefore, the new method, called the grey level method, which reflects the phenomenon of image processing and computation of ration between the volume of voids and the total volume of the entire sample, was considered and improved in term of image noise and artifacts. The volumes of 2D CT image as a surface are achieved by means of integrating the surface with operations relating to image hist...
full textX-ray computed tomography.
X-ray computed tomography (CT), introduced into clinical practice in 1972, was the first of the modern slice-imaging modalities. To reconstruct images mathematically from measured data and to display and to archive them in digital form was a novelty then and is commonplace today. CT has shown a steady upward trend with respect to technology, performance and clinical use independent of predictio...
full textPast and future directions in x-ray computed tomography (CT)
We give a short account of the history of CT from motion tomography in the early 1930’s to sprial CT. We discuss the physical and the mathematical background. Finally we give an outlook on possible future developments of CT and related techniques. © 2002 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 12, 175–187, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DO...
full textX-ray micro-computed tomography
Micro-computed tomography (μCT) has been successfully used to study the cardiovascular system of mouse embryos in situ. With the use of barium as a suitablecontrast agent, blood vessels have beenimaged and analysed quantitatively such asblood volume and vessel sizes on embryosof ages 14.5 to 16.5 days old. The advantageof using this imaging modality is that it hasprovide...
full textMy Resources
Save resource for easier access later
Journal title:
geopersiaISSN 2228-7817
volume 1
issue 2 2011
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023