基于EMD算法的煤层透射槽波信号提纯

透射槽波勘探是井下地震勘探的主要方式之一，具有探测范围大、准确率高等优点。然而井下地震信号信噪比低，远偏移距槽波信号易被噪声所淹没而无法识别，为槽波的后续处理与解释带来困难。针对这一问题．采用EMD算法对原始信号进行分解，选取并增强分解结果中的有效信号，从而实现槽波信号的提纯。实际工程中的应用效果表明，经过提纯后的地震数据，具有较少的噪声成分和较为清晰的槽波波列。

Purification of Coal Seam Transmission In-seam Seismic Signals Based on EMD Algorithm

The transmission in-seam seismic prospecting is one of main means in coalmine underground seismic prospecting. It has advantages of wide detection range and high accuracy. However, as seismic underground prospecting has low S/N ratio, large offset in-seam signal can be easily suppressed by noises and incapable to be identified, thus bring on difficulties in succeeding processing and interpretation. In allusion to this problem, the EMD algorithm is used to decompose original signals, select and enhance effective signals, thus to realize in-seam signal purification. Practical application has shown seismic data after purification have less noises and rather clear in-seam wave trains.