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SEISMIC HORIZON DETECTION USING IMAGE PROCESSING ALGORITHMS 1
Author(s) -
BONDÁR ISTVÁN
Publication year - 1992
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1992.tb00552.x
Subject(s) - geology , edge detection , geophysical imaging , image processing , regional geology , algorithm , horizon , image (mathematics) , point (geometry) , environmental geology , image quality , seismology , computer science , artificial intelligence , telmatology , geometry , mathematics , tectonics
A bstract Seismic sections used in interpretation are actually images. We often superimpose colour‐coded pictures of seismic attributes on seismic sections. Thus, it seems straightforward to use image processing algorithms to enhance the quality of the seismic images. From an image processing point of view, seismic horizons can be thought of as edges on the seismic image. We present a novel approach to detecting seismic horizons, which includes the 2D median filtering of the instantaneous phase attribute and applying an edge detection algorithm. The resulting edge magnitude picture provides a skeletonized image of the seismic section, on which the structural and stratigraphic patterns can be better recognized.