Processing of array sonic logging data with multi-scale STC technique

被引:18
作者
Tao Guo [1 ]
He Fengjiang [1 ]
Yue Wenzheng [1 ]
Chen Ping [1 ]
机构
[1] China Univ Petr, CNPC Well Logging Key Lab, Beijing 102249, Peoples R China
基金
中国国家自然科学基金;
关键词
borehole acoustic logging; signal processing; wavelet transform; reflection survey;
D O I
10.1007/s12182-008-0036-y
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
It is desirable to develop new signal processing techniques for effectively extracting reflected waves under the strong interferences of borehole guided waves. We presented a multi-scale semblance method for the separation and velocity (slowness) analysis of the reflected waves and guided waves in borehole acoustic logging. It was specially designed for the newly developed tools with ultra-long source-receiver spacing for acoustic reflection survey. This new method was a combination of the dual tree complex wavelets transform (DT-CWT) and the slowness travel time coherence (STC) method. Applications to the 3D finite difference (FD) modeling simulated data and to the field array sonic waveform signals have demonstrated the ability of this method to appropriately extract the reflected waves under severe interference from the guided waves and to suppress noise in the time-frequency domain.
引用
收藏
页码:238 / 241
页数:4
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