DocumentCode :
3075480
Title :
Seismic signal character recognition using analysis techniques
Author :
Love, P.L. ; Simaan, M.
Author_Institution :
Gulf Research and Development Co., Houston, Texas
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
581
Lastpage :
584
Abstract :
Two texture analysis methods have been designed for application to images created in reflection seismology and used for oil and gas exploration. These methods are intended to segment a seismic section (image) into a few zones of common signal character or image texture. It has been suggested that such character zones are related to the geologic environment in which their sediments were deposited. A comparison is made between the segmentations of the image using the texture algorithms and a manual interpretation.
Keywords :
Character recognition; Design methodology; Image analysis; Image segmentation; Image texture; Image texture analysis; Petroleum; Reflection; Seismology; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172664
Filename :
1172664
Link To Document :
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