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槽波勘探是井下地震勘探的主要方式之一,能够在较大范围内探测出煤层中的断层、陷落柱、溶洞等地质异常体,对煤矿的安全生产具有重要作用。在透射法槽波勘探中,需要寻找出槽波的阻断位置以对断层进行定位。然而井下地震信号中波场成分复杂、信噪比低,槽波信号会被噪声所遮盖而很难寻找出具体的阻断位置。针对这一问题,根据槽波的频散特性,利用二维傅里叶变换将地震信号转换到F-K域并对其进行滤波,以消弱噪声和其它波场成分。实际工程中的应用效果表明,在经过F-K滤波后的地震数据中,可以较为容易的识别出槽波的阻断位置。
Slot-wave exploration is one of the main methods of downhole seismic exploration. It can detect geological anomalies such as faults, sinkholes and caves in a large area and plays an important role in the safe production of coal mines. In the transmission method of slot wave exploration, we need to find out the slot wave blocking position to locate the fault. However, the components of the wave field in the downhole seismic signal are complex, and the signal-to-noise ratio is low. Therefore, the signal of the slot wave is covered by the noise and it is difficult to find out the specific blocking position. In response to this problem, according to the dispersion characteristics of the groove wave, the two-dimensional Fourier transform is used to convert the seismic signal into the F-K domain and filter it to weaken the noise and other wave field components. The practical application results show that it is easy to recognize the slot wave blocking position in F-K filtered seismic data.