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Abstract

This paper discusses some improved strategies for successful multiple estimation and suppression on very shallow marine data recorded in various areas in the Arabian Gulf. Since the seabottom is extremely shallow in particular areas of the Arabian Gulf, the marine data that has been recorded contains a lot of very strong waterbottom multiples (from reverberations between seasurface and seabottom) which tend to create complex interference patterns with the primaries.

As generally known, multiples may become a major difficulty in the Arabian Gulf in particular in seismic data interpretation including AVO Analysis because multiples may obscure crucial target structures and making optimal data interpretation and therefore exploration very complicated. However because the primary reflections are necessary for an accurate interpretation of the earth'ssubsurface, it becomes very critical to aim at improving strategies that can suppress multiples in the most effective and optimal way.

In shallow water environments, surface-related multiple removal methods are very difficult to apply and are known to have problems. On the other hand, in some situations, the well-known prediction-error filtering has proven to be effective and successful. In this paper, the successful attenuation of multiples is illustrated on various datasets from the Arabian Gulf. The noise and multiples were attenuated sequentially: First the noise was estimated systematically from the data and suppressed. This was followed by autocorrelation analyses on the prestack shot gathers to estimate sequentially different types and higher orders of multiples with multi-gate prediction filters. Furthermore, multi-least squares algorithms were used to subtract all multiples simultaneously in the prestack domain. The simultaneous subtraction appears to provide a robust solution in these complex situations. Finally some remaining multiples have been attenuated in the poststack domain due to the varying depth of the seabottom in the Arabian Gulf.

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