DocumentCode :
3427179
Title :
Image analysis for core geological descriptions: strata and granulometry detection
Author :
Selmaoui, Nazha ; Repetti, Bernard ; Laporte-Magoni, Christine ; Allenbach, Michel
Author_Institution :
ERIM, New Caledonia Univ., Noumea, New Caledonia
Volume :
4
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
305
Abstract :
Digital signal processing is commonly used in Geophysics. Methods combining core sample physical property measurements with image analysis are beginning to emerge. In this paper, we describe a digital processing method applied directly to core sample images. Our approach uses a number of time-frequency and scale-frequency transformations as well as morphological operators that reach a resolution equivalent to and even better than the geologist´s eye. The resources presented below are free from operator-related subjectivity and provide efficient, reliable and repeatable sequential descriptions of geological borehole samples that include both layer detection and grain analysis. Our process´s efficiency is demonstrated through analyses carried out on a number of core samples taken from Cretaceous to Upper Eocene volcano-sedimentary series on New Caledonia´s West Coast.
Keywords :
geophysical signal processing; image segmentation; wavelet transforms; Geophysics; core geological description; digital signal processing; granulometry detection; image analysis; strata detection; Digital signal processing; Drilling; Geology; Geophysics; Image analysis; Image recognition; Performance analysis; Rhythm; Scanning electron microscopy; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1333764
Filename :
1333764
Link To Document :
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