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马达海洋区块分段压制多次波方法
引用本文:夏常亮,李振勇,代东.马达海洋区块分段压制多次波方法[J].西南石油大学学报(自然科学版),2015,37(6):64.
作者姓名:夏常亮  李振勇  代东
作者单位:1. 中国地质大学(北京)地球物理与信息技术学院,北京海淀100083 2. 中国石油东方地球物理勘探有限责任公司研究院,河北涿州072750
摘    要:马达海洋工区海底深度变化很大,多次波异常发育,多次波衰减一直是该区地震资料处理难题之一。首先分 析与自由表面相关多次波衰减方法(SRME)、预测反褶积、抛物线Radon 变换的方法原理,针对各方法的不同特点制 定方案:采用SRME 方法衰减与自由表面相关的多次波,预测反褶积方法压制层间多次波,抛物线Radon 变换法衰减 剩余的多次波。实际资料处理表明:这种分步分段压制多次波的方法能够很好地衰减海底深度变化范围大、海底构造 复杂的海洋地震资料的多次波,很好地改善海洋地震资料的成像效果。实际资料处理表明,这种分段压制多次波方法 能够广泛应用于海底深度变化大,海底地质构造复杂的海洋地震资料多次波衰减处理。

关 键 词:资料处理  多次波  SRME  预测反褶积  Radon  变换  

Eliminating Oceanic Seismic Data Multiples in West Madagascar Sea
Xia Changliang,Li Zhenyong,Dai Dong.Eliminating Oceanic Seismic Data Multiples in West Madagascar Sea[J].Journal of Southwest Petroleum University(Seience & Technology Edition),2015,37(6):64.
Authors:Xia Changliang  Li Zhenyong  Dai Dong
Institution:1. School of Geophysics and Information Technology,China University of Geosciences(Beijing),Haidian,Beijing 100083,China; 2. Geophysical Research Institute,BGP,CNPC,Zhuozhou,Hebei 072750,China
Abstract:Multiple eliminating is always the difficult stage of oceanic seismic data processing. The oceanic seismic data processing of west Madagascar sea has become difficult because of great changes at sea bottom,abnormal growth of multiples and multiples attenuation. This paper analyzes the method and principle of SRME(Surface Related Multiple Elimination)related to free surface,predictive deconvolution and parabolic Radon transformation. According to the characteristics of methods above, we make a united solution,that is using SRME to eliminate the surface related multiples,using predictive deconvolution to attenuate the multiples generated between layers and using parabolic Radon transformation to eliminate the residual multiples. The processing results after applying above methods show that the progressively united multiple solution can do a good job in oceanic seismic data multiple elimination,especially for those whose sea bottom depth changes in great range.
Keywords:data processing  oceanic multiple  SRME  predictive deconvolution  Radon filtering  
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