浅水多次波衰减

英文篇名：Shallow water multiple attenuation
中文刊名：石油地球物理勘探
英文刊名：Oil Geophysical Prospecting
作者：徐强 ; 王征 ; 史增园 ; 魏赟 ; 张善刚
英文作者：Xu Qiang ; Wang Zheng ; Shi Zengyuan ; Wei Yun ; Zhang Shangang ; Seismic Data Processing and Interpretation Centre ; Geophysical Division ; COSL ; CNOOC ; Shanghai Branch ; CNOOC Ltd.
中文关键词：浅水多次波 ; SRME ; 反褶积 ; 自由表面多次波
英文关键词：shallow-water multiples ; SRME ; deconvolution ; surface-related multiple
出版日期：2015-04-15
机构：中海油田服务股份有限公司物探事业部数据处理解释中心;中海石油(中国)有限公司上海分公司;
年：2015
期：02
出版单位：石油地球物理勘探

摘要

浅水海域地震资料通常会有较为严重的鸣震等短周期多次波干扰,一般采用预测反褶积进行压制,但是在地质构造较复杂地区其效果并不理想。而表层相关多次波压制方法(SRME)(Surface related multiple elimination)方法,由于海底反射信息较差,很难压制浅水海底相关等短周期多次波。本文使用数据驱动的浅水多次波压制方法,该方法同时基于SRME褶积方式与多道预测算子,在浅水复杂构造区压制短周期多次波方面可以取得比预测反褶积更好的效果。在实际资料应用中,使用本文方法与预测反褶积组合的方式,其多次波压制效果更为理想,优于单独使用其中任何一种方法。
Predictive deconvolution is used usually for multiples removal in shallow water.But it does not work effectively in complex structure area for shallow water multiple removal.SRME can remove free surface multiples for most marine situations.But it is not suitable for shallow water multiple removal,primarily due to poor water bottom reflection.In this paper we propose a data-driven method for shallow water multiple removal.This method derives directly a multichannel prediction operator from seismic data.Field data tests results show that the proposed method can obtain better results than predictive deconvolution. Furthermore we show that joint use of this method and predictive deconvolution can give better result than a separate use of either of these two.

引文

[1]Berkhout A J and Verschuur D J.Estimation of multiple scattering by iterative inversion,part I:theoretical considerations.Geophysics,1997,62(5):1586-1595.
    [2]Hargreaves N.Surface multiple attenuation in shallow water and the construction of primaries from multiples.SEG Technical Program Expanded Abstracts,2006,25:2689-2693.
    [3]Hung B,Yang K L,Zhou Y H et al.Surface multiple attenuation in seabeach-shallow water,case study on data from the Bohai Sea.SEG Technical Program Expanded Abstracts,2010,29:3431-3435.
    [4]Verschuur D J et al.Shallow water multiple prediction and attenuation,case study on data from the Arabian Gulf.SEG Technical Program Expanded Abstracts,2002,21:2229-2232.
    [5]Moore I and Bisley R.Multiple attenuation in shallowwater situations.SEG Technical Program Expanded Abstracts,2006,25:F018.
    [6]Brittan J,Martin T,Bekara M et al.3Dshallow water demultiple-extending the concept.First Break,2011,29(9):97-101.