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机构地区:[1]College of Geo-Exploration Science and Technology, Jilin University
出 处:《Global Geology》2013年第2期113-120,共8页世界地质(英文版)
基 金:Supported by the National Natural Science Foundation of China(40974054,41174080);the National Basic Research Program of China(973 Program)(2009CB219301);the National Innovation Research Project for Exploration and Development of Oil Shale(OSP-02,OSR-02);the National Public Benefit Scientific Research Foundation of China(201011078)
摘 要:In practical seismic exploration, internal multiples generated when the wave impedance of medium is strong, and seismic records are recorded. The method of virtual event repress internal multiples is to move scattered points from underground to the surface, similar to the method of the surface-related multiple elimination (SRME). The method of SRME belongs to the prediction-subtraction approaches to eliminate internal multiples, prediction method is based on building a brand new way of seismic wave propagation (virtual reflection and virtual event), so that it has forward and backward wave propagation, and through convolution with significant wave to predict the internal multiples. Due to required data needing field information of full-wave, the authors use Seislet transform interpolating the missing data to ensure the premise of internal multiples prediction. The test data show that the above method has achieved good results.In practical seismic exploration, internal multiples generated when the wave impedance of medium is strong, and seismic records are recorded. The method of virtual event repress internal multiples is to move scat- tered points from underground to the surface, similar to the method of the surface-related multiple elimination (SRME). The method of SRME belongs to the prediction-subtraction approaches to eliminate internal multi- ples, prediction method is based on building a brand new way of seismic wave propagation (virtual reflection and virtual event) , so that it has forward and backward wave propagation, and through convolution with signifi- cant wave to predict the internal multiples. Due to required data needing field information of full-wave, the au- thors use Seislet transform interpolating the missing data to ensure the premise of internal multiples prediction. The test data show that the above method has achieved good results.
关 键 词:internal multiples virtual event crosscorrelation Seislet transform
分 类 号:P631.4[天文地球—地质矿产勘探]
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