DocumentCode :
2631098
Title :
Automated image analysis for applications in reservoir characterization
Author :
Zhao, Xianghong ; Gosine, Ray ; Davi, Stephanie ; LeFeuvre, Patricia ; Sinclair, Iain ; Burden, E.
Author_Institution :
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
620
Abstract :
The paper presents a novel software toolkit called PetroGraFX that is being created to provide fast and accurate automated assessments of petrographic images. In particular, the paper describes the image analysis algorithms that have been developed to derive porosity from the visible pore space and to segment and measure individual quartz grains in color images of thin section slides. A region growing scheme in color space is described for accurate segmentation of the pore space, as is a modified watershed transformation developed for reliable delineation of the boundaries of adjoining quartz grains
Keywords :
geology; geophysics computing; image colour analysis; image segmentation; porosity; quartz; rocks; water supply; PetroGraFX; accurate automated assessments; accurate segmentation; adjoining quartz grain boundaries; automated image analysis; color images; color space; image analysis algorithms; modified watershed transformation; petrographic images; porosity; region growing scheme; reliable delineation; reservoir characterization applications; software toolkit; thin section slides; visible pore space; Image analysis; Image color analysis; Image databases; Image segmentation; Minerals; Parameter estimation; Performance evaluation; Pixel; Reservoirs; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
Type :
conf
DOI :
10.1109/KES.2000.884124
Filename :
884124
Link To Document :
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