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Combined adaptive multiple Subtraction Based on Optimized Event Tracing and Extended Wiener Filtering

Journal of Ocean University of China 2017年第3期16卷 411-421页

作者： TAN Jun SONG Peng LI Jinshan WANG Lei ZHONG Mengxuan ZHANG Xiaobo College of Marine Geo-sciences Ocean University of ChinaQingdao 266100P.R.China Laboratory for Marine Mineral Resource Qingdao National Laboratory for Marine Science and TechnologyQingdao 266071P.R.China Key Laboratory of Submarine Geosciences and Prospecting Techniques Ministry of Education Qingdao 266100P.R.China

The surface-related multiple elimination(SRME) method is based on feedback formulation and has become one of the most preferred multiple suppression methods used. However, some differences are apparent between the predicted multiples and those in the source seismic records, which may result in conventional adaptive multiple subtraction methods being barely able to effectively suppress multiples in actual production. This paper introduces a combined adaptive multiple attenuation method based on the optimized event tracing technique and extended Wiener filtering. The method firstly uses multiple records predicted by SRME to generate a multiple velocity spectrum, then separates the original record to an approximate primary record and an approximate multiple record by applying the optimized event tracing method and short-time window FK filtering method. After applying the extended Wiener filtering method, residual multiples in the approximate primary record can then be eliminated and the damaged primary can be restored from the approximate multiple record. This method combines the advantages of multiple elimination based on the optimized event tracing method and the extended Wiener filtering technique. It is an ideal method for suppressing typical hyperbolic and other types of multiples, with the advantage of minimizing damage of the primary. Synthetic and field data tests show that this method produces better multiple elimination results than the traditional multi-channel Wiener filter method and is more suitable for multiple elimination in complicated geological areas.

关键词： multiple adaptive attenuation surface-related multiple prediction Wiener filtering short-time window FK filtering event tracing technique

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