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Title

SYNTHETIC CHANNEL BOUNDARY DETECTION USING CLASSIC AND MULTI-SCALE METHODS

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Abstract

 FROM HYDROCARBON EXPLORATION POINT OF VIEW, CHANNELS ARE AMONG THE IMPORTANT GEOLOGICAL PHENOMENA. IT IS POSSIBLE TO IMAGE CHANNELS IN TIME SLICES AFTER THE ADVENT OF 3D SEISMIC TECHNOLOGY. HOWEVER, MOST OF THE TIME, CHANNELS CANNOT BE EASILY DETECTED FROM ORIGINAL SEISMIC DATA BECAUSE OF STRUCTURAL COMPLEXITIES. IN THIS STUDY, CLASSIC OPERATORS OF IMAGE PROCESSING INCLUDING SOBEL AND CANNY ARE APPLIED TO A SYNTHETIC TIME SECTION OF A CHANNEL MODEL WITH AND WITHOUT ADDITIVE RANDOM NOISE TO DETECT CHANNEL BOUNDARIES. MOREOVER, LAPLACIAN PYRAMID AS A MULTI-SCALE DECOMPOSITION ALGORITHM IS USED TO DETECT CHANNEL BOUNDARIES AT DIFFERENT SCALES. SOBEL OPERATOR FAILS TO DETECT CHANNEL BOUNDARIES IN THE PRESENCE OF RANDOM NOISE. APPLYING CANNY OPERATOR WITH ITS DEFAULT PARAMETERS DETECT HIGH FREQUENCY RANDOM NOISE AS EDGES. LAPLACIAN PYRAMID AT THE FINEST DECOMPOSITION SCALE PROVIDES SUFFICIENT RESOLUTION FOR CHANNEL BOUNDARY DETECTION EVEN IN THE PRESENCE OF ADDITIVE RANDOM NOISE.

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