节点文献

小波域相关算法在随钻地震信号处理中的应用

SWD signal processing based on wavelet domain correlation algorithm

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 金朝娣能昌信刘玉强董路

【Author】 JIN Zhao-di1,2,NAI Chang-xin1,LIU Yu-qiang1,DONG Lu1(1.Institute of Solid Waste Management,Chinese Research Academy of Environmental Sciences,Beijing 100012,China;2.School of Mechanical Electronic & Information Engineering,China University of Mining & Technology(Beijing),Beijing 100083,China)

【机构】 中国环境科学研究院固体废物污染控制技术研究所中国矿业大学(北京)机电与信息工程学院

【摘要】 因钻头振动能量弱、井场噪音能量强等因素使得随钻地震信噪比很低,时域互相关算法无法有效提取子波时延信息,基于此特点,提出小波变换域多次互相关算法,将参考道和其他接收道分别进行小波变换,将参考道时频信息与其他道时频信息进行互相关,得到接收道相对于参考道的时延,提取直达波和反射波信息。数值模拟和现场实验均表明:相对于传统的互相关技术,小波变换域多次互相关算法能在低信噪比下,检测随钻地震子波时延,有效提取了直达波或反射波信息,更好地压制了噪声。

【Abstract】 Due to the low vibration energy of drill-bit and the high energy of rig noise along with some other reasons,conventional cross-correlation can not extract the information effectively.Put forward wavelet transform domain correlation algorithm,reference channel and receiving channel was done by wavelet transform respectively,and the delay information was detected by cross-correlation of time-frequency information,and then,the direct wave or the reflected wave information was extracted.Numerical simulation and field experiments show that,compared with the traditional cross-correlation technique,the wavelet transform correlation algorithm has a better ability to suppress the noise,and detect the wave delay of SWD information accurately and clearly.

【基金】 国家高技术研究发展计划(863)重点资助项目(2007AA061303);中央级公益性科研资助项目(2009KYYW04)
  • 【文献出处】 煤炭学报 ,Journal of China Coal Society , 编辑部邮箱 ,2012年04期
  • 【分类号】P631.443
  • 【网络出版时间】2012-05-17 08:33
  • 【被引频次】5
  • 【下载频次】286
节点文献中: 

本文链接的文献网络图示:

本文的引文网络