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。
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.
出处
《煤炭学报》
EI
CAS
CSCD
北大核心
2012年第4期621-626,共6页
Journal of China Coal Society
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)
关键词
小波变换
随钻地震
互相关
时延信息
wavelet transform
SWD
cross-correlation
timed delay information
