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摘要
During acoustic logging using an array acoustic tool, the signal-to-noise (S/N) ratio of formation signals are often contaminated by the background noise and by the interference of the strong unwanted direct signals (e.g.,casing waves in cased hole logging and collar waves in logging while drilling conditions), making it different to extract the formation acoustic signal from the data. In this paper, we present a super-mixing-virtual (SMV) interferometry based on the super-virtual (SV) interferometric method. Based on the principle of reciprocity, we reconstruct a new wavefield, which is called the super-reverse-virtual (SRV), by processing the raw wavefield using cross-correlation and deconvolution over all receivers positioned at stationary-phase points. We finally reconstruct the super-mixing-virtual (SMV) by averaging the SRV and SV results over all receiver positions in the array. The S/N ratio of formation signals can be significantly enhanced. At the same time, it can significantly improve the near-field performance of the existing SV method. The new technique was tested on synthetic waveform data and the cased hole acoustic logging data. The results show that the new technique effectively suppresses the coherence of the casing waves and significantly enhances the S/N ratio and the coherence of the formation acoustic signal.
- 出版日期2017-7
- 单位中国石油大学（北京）
