Method of porosity estimation from high resolution CT scan images
Abstract
In this research, the porosity of core samples is determined from CT scan images with single scanning using many techniques, such as segmentation techniques or image digitalising, and compared with routine core analysis results. A total of 31 full diameter core samples taken from Cuu Long Basin, Nam Con Son basin and Song Hong Basin have been CT scanned and analysed. These samples have porosity ranging from 11% to 40.9%, and permeability ranging from 0.002mD to 1.373mD. The results show values of the grayscale point of each group of stones and the empirical correlations to determine porosity for all cores.
References
William K.Pratt. Digital image processing: PIKS inside (3rdedition). A Wiley Interscience Publication. 2001.
Kazem Saadat, Hossain Rahimpour-Bonab, Mohammad Reza Esfahani, Jafar Vali. Empirical correlation for porosity deduction from X-ray computed tomography (CT). Journal Geopersia. 2011; 1(2): p. 47 - 54.
Emmanuel Le Trong, Olivier Rozenbaum, JeanLouis Rouet, Ary Bruand. A simple metholodogy to segment X-ray tomographic images of a multiphasic building stone. Image Analysis & Stereology. 2008; 27(3): p. 175 -182.
Andrew Squelch, Brett Harris, Majed AlMalki. Estimating porosity from CT scans of high permeability core plugs. ASEG Extended Abstracts. 2012.
VPI-Labs. Rourine core analysis report. 2010 - 2012.
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