Combined adaptive multiple subtraction based on event tracing and Wiener filtering
Hao Tan, Lei Wang, Meng-xuan Zhong, Yuan-heng Li, Jing Li, Jun Hong Tan, Peng Song · International Geophysical Conference, Qingdao, China, 17-20 April 2017 · 2017
Summary Surface-related multiple elimination (SRME) method based on feedback formulation has become one of the preferred multiple suppression methods. However, there always exist some differences between the predicted multiples and those in the source seismic records, which may cause that the conventional adaptive multiple subtraction methods can hardly suppress the multiples effectively in actual production. This paper introduces a combined adaptive multiple attenuation method based on event tracing technique and Wiener filtering. Firstly, the method uses multiple records predicted by SRME to generate multiple velocity spectrum, then separates the original record to an approximate primary record and an approximate multiple record by applying event tracing method and short-time window FK fan filtering. After that by applying Wiener filtering method, the residual multiple in the approximate primary record can be eliminated and the damaged primary can be restored from the approximate multiple record. This method combines the advantages of multiple elimination based on event tracing method and Wiener filtering technique. It is an ideal method for suppressing typical hyperbolic as well as other types of multiple with the advantage of minimizing the damage of the primary. Synthetic and field data tests show that this method produces better multiple elimination results than traditional multi-channel Wiener filter method and is more suitable for the multiple elimination in complicated geological areas.