Multiple subtraction method based on a non-causal matching filter
Liu Hua-Feng1,2, Chen Xiao-Hong1,2, Song Jia-Wen1,2, and Liu Guo-Chang1,2
1. CNPC Key Lab of Geophysical Exploration, China University of Petroleum (Beijing), Beijing 102249, China.
2. State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum (Beijing), Beijing 102249, China.
Abstract The filter operator used in normal multichannel matching filter is physically realizable. This filter operator only delays seismic data in the filtering process. A noncausal multichannel matching fi lter based on a least squares criterion is proposed to resolve the problem in which predicted multiple model data is later than real data. The differences between causal and non-causal multichannel matching fi lters are compared using a synthetic shot gather, which demonstrates the validity of the non-causal matching filter. In addition, a variable length sliding window which changes with offset and layer velocity is proposed to solve the count of events increasing with increasing offset in a fixed length sliding window. This variable length sliding window is also introduced into the modified and expanded multichannel matching fi lter. This method is applied to the Pluto1.5 synthetic data set. The benefi ts of the non-causal fi lter operator and variable length sliding window are demonstrated by the good multiple attenuation result.
This work was supported by the National 863 Program (Grant No. 2006AA09A102-09) and the National 973 Program (Grant No. 2007CB209606).
About author: Liu Hua-Feng is a PHD student at China University of Petroleum (Beijing). He received his Bachelor degree of geophysical exploration in 2004 and Master degree of geophysical exploration in 2007 both from Chang’an University. He mainly does research on multiple prediction and attenuation.
Cite this article:
LIU Hua-Feng,CHEN Xiao-Hong,SONG Jia-Wen et al. Multiple subtraction method based on a non-causal matching filter[J]. APPLIED GEOPHYSICS, 2011, 8(1): 27-35.
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2011, Vol. 8 
