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The AAPG/Datapages Combined Publications Database

Indonesian Petroleum Association

Abstract


27th Annual Convention Proceedings, 2000
Pages 1-8

A Comparative Study of Wave Equation Multiple Suppression to Conventional Tau-p Deconvolution and Radon Multiple Attenuation Methods

Kriyanti Setiyono, Ken H. Matson

Abstract

Multiple elimination is one of the fundamental problems in seismic data processing and is still an active area of research. Numerous methods have been proposed for the elimination of Previous HitmultiplesNext Hit, each depending on a specific criterion for discriminating between primaries and Previous HitmultiplesNext Hit. One basic approach utilizes moveout properties that differentiate primaries from Previous HitmultiplesNext Hit, for example, f-k and Radon demultiple filters. Other methods predict and subtract Previous HitmultiplesNext Hit from seismic data. Examples of such methods are predictive deconvolution and the more recently developed wave-equation based methods.

A comparative study of Tau-p predictive deconvolution, Radon demultiple, and ARCO's proprietary Wave Equation Multiple Suppression (WEMS) method was conducted. We present the results of applying these three multiple suppression techniques to a data set with a moderately hard water bottom and lateral structural Previous HitvariationNext Hit.

The effectiveness of both Radon and Tau-p deconvolution methods depends on the amount of structure, the subsurface velocity profile, the hardness of the Previous HitseafloorNext Hit and the water depth. While WEMS does not depend on any subsurface properties, it is sensitive to factors that can affect the accuracy of the near offsets, e.g., shallow water depths. Since each method has different strengths and weaknesses, a combination of these three methods can be used to optimally attenuate Previous HitmultiplesTop in any kind of data.

Since the example data set contained significant structure, WEMS provided the most incremental multiple suppression.


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