...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>First Break >A model-based water-layer demultiple algorithm
【24h】

A model-based water-layer demultiple algorithm

机译：基于模型的水层多解算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper focuses on the attenuation of Water-Layer-Related Multiples (WLRMs or peg-leg multiples) which reflect at least once between the water bottom and the water surface. WLRMs are often the most dominant multiples in shallow-water seismic data. We propose a Model-based Water-layer Demultiple (MWD) algorithm to calculate the Green's functions of the Water-Layer Primary Reflections (WLPRs: Green's functions convolved with source signature) based on the known seabed and water-layer velocity model and then convolve them with the recorded data to predict the WLRMs. Combined with adaptive subtraction, MWD can effectively attenuate WLRMs. We apply MWD to field data from the Hibernia oilfield area which has a water depth of 70-90 m. The results show that while Surface-Related Multiple Elimination (SRME) by itself has limited success, MWD is effective in attacking WLRMs. Once the WLRMs have been removed by MWD, successive SRME can then be applied to predict and eliminate other types of surface-related multiples (SRMs). The combination of MWD and SRME is demonstrated as an effective multiple attenuation package for shallow-water data and results in fewer residual multiples and better preserved primaries over tau-p gapped deconvolution. This, in turn, contributes to a more realistic velocity model and higher-quality images.
机译：本文着重于水层相关倍数（WLRM或桩腿倍数）的衰减，该衰减在水底和水面之间至少反射一次。 WLRM通常是浅水地震数据中最主要的倍数。我们提出了一种基于模型的水层倍增（MWD）算法，以基于已知的海床和水层速度模型计算水层主反射的格林函数（WLPR：格林函数与源签名卷积），然后进行卷积它们与记录的数据一起预测WLRM。结合自适应减法，MWD可以有效地衰减WLRM。我们将MWD应用于水深为70-90 m的Hibernia油田地区的现场数据。结果表明，尽管表面相关多重淘汰（SRME）本身取得的成功有限，但MWD可以有效地攻击WLRM。一旦MWD删除了WLRM，便可以应用连续的SRME来预测和消除其他类型的表面相关倍数（SRM）。 MWD和SRME的组合被证明是用于浅水数据的有效多重衰减软件包，与tau-p间隙反褶积相比，其残留倍数更少，且保留的原色更好。反过来，这有助于建立更逼真的速度模型和更高质量的图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号