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物探与化探  2017, Vol. 41 Issue (5): 914-918    DOI: 10.11720/wtyht.2017.5.18
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
子波法去鬼波在墨西哥湾的应用
姜丹, 蒲晓东, 麻志国, 石孟常, 李君君
中海油田服务股份有限公司 物探事业部,天津 300451
The application of wavelet method to eliminating ghost wave in Gulf of Mexico
JIANG Dan, PU Xiao-Dong, MA Zhi-Guo, SHI Meng-Chang, LI Jun-Jun
Geophysical Department,China Oilfield Services Co.,Ltd.,Tianjin 300451,China
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摘要 海洋深水地震资料鬼波发育,造成地质假象,严重影响油田的勘探开发。分析地震资料采集环境及采集特征,采用子波法压制鬼波,在Echos(地震资料处理软件)处理平台上,利用采集设计子波,计算反褶积算子,再将压制鬼波算子应用于实际地震资料。鬼波压制后频率域陷波点得到有效补偿,单炮及叠加剖面上鬼波被有效压制,资料品质得到明显改善,利于构造解释及储层研究。
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Abstract:The ghost wave is developed well in deep water.Meanwhile,the seismic profile will be wrong when the ghost and the reflection merge or separate,and this situation infuences the oilfield exploration and development seriously.In order to analyze the characteristics of the seismic data acquisition environment and acquisition,the authors chose the wavelet method to remove the ghost wave by Echos (software of seismic data processing)processing platform.According to the acquisition parameter,the wavelet was designed for calculating the de-convolution factor which was applied to the actual seismic data.After the application,the notch points were compensated effectively.The results show that the ghost wave is effectively attenuated both on the shot and on stack profile,and the quality is effectively improved,which is benificial to the tectonic interpretation and reservoir research.
收稿日期: 2016-10-08      出版日期: 2017-10-20
:  P631.4  
基金资助:“海洋地震采集数据实时QC软件开发与应用”项目(WTB17YF004)
作者简介: 姜丹(1982-),男,2006年毕业于大庆石油学院勘查技术与工程专业,中国石油大学(华东)工程硕士在读,现为中海油田服务股份有限公司物探事业部现场处理工程师,主要从事地震资料现场处理方面研究工作。
引用本文:   
姜丹, 蒲晓东, 麻志国, 石孟常, 李君君. 子波法去鬼波在墨西哥湾的应用[J]. 物探与化探, 2017, 41(5): 914-918.
JIANG Dan, PU Xiao-Dong, MA Zhi-Guo, SHI Meng-Chang, LI Jun-Jun. The application of wavelet method to eliminating ghost wave in Gulf of Mexico. Geophysical and Geochemical Exploration, 2017, 41(5): 914-918.
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https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2017.5.18      或      https://www.wutanyuhuatan.com/CN/Y2017/V41/I5/914
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