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