首页|Multiple Matching Attenuation Based on Curvelet Domain Extended Filtering

Multiple Matching Attenuation Based on Curvelet Domain Extended Filtering

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The paper develops a multiple matching attenuation method based on extended filtering in the curvelet domain,which combines the traditional Wiener filtering method with the matching attenuation method in curvelet domain.Firstly,the method uses the predicted multiple data to generate the Hilbert transform records,time derivative records and time derivative records of Hilbert trans-form.Then,the above records are transformed into the curvelet domain and multiple matching attenuation based on least squares ex-tended filtering is performed.Finally,the attenuation results are transformed back into the time-space domain.Tests on the model data and field data show that the method proposed in the paper effectively suppress the multiples while preserving the primaries well.Furthermore,it has higher accuracy in eliminating multiple reflections,which is more suitable for the multiple attenuation tasks in the areas with complex structures compared to the time-space domain extended filtering method and the conventional curvelet transform method.

multiplematching attenuationcurvelet domain extended filtering

HUA Qingfeng、CHEN Zhang、HE Huili、TAN Jun、CHEN Haifeng、LI Guanbao、SONG Peng、ZHAO Bo、JIANG Xiuping

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Key Laboratory of Marine Geology and Metallogeny,First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China

Laboratory for Marine Mineral Resources,Qingdao Marine Science and Technology Center,Qingdao 266237,China

College of Marine Geoscience,Ocean University of China,Qingdao 266100,China

BGP Inc.,China National Petroleum Corporation,Zhuozhou 072750,China

Key Laboratory of Submarine Geosciences and Prospecting Techniques,Ministry of Education,Qingdao 266100,China

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Wenhai Program of the ST Fund of Laoshan LaboratoryNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Key R&D Program of ChinaResearch Project of the China National Petroleum Corporation

2022048034207 4138422061952022YFC28035012021ZG02

2024

10.1007/s11802-024-5638-5

中国海洋大学学报(自然科学英文版)
中国海洋大学

中国海洋大学学报(自然科学英文版)

CSTPCD
影响因子：0.268
ISSN：1672-5182
年,卷(期)：2024.23(4)
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