地震波形分类技术在地质异常体解释中的应用

地震波形分类技术具有统计地震信号总体变化和反映这种变化分布规律的特点，是地震属性分析技术的重要延伸，在地质异常体解释方面具有良好的应用效果。高密度三维地震资料具有高信噪比，高分辨率和高保真度的特点，尝试利用波形分类技术对高密度三维地震资料反映的煤层赋存状态、岩浆岩侵入区进行预测，并对陷落柱解释方法进行了研究。井下巷道实际揭露和钻孔验证结果表明:波形分类方法解释的地质异常体精度高、圈定范围准确，可以为煤矿安全开采提供精准的地质资料。 

Application of seismic waveform classification technology in interpretation of geological abnormal body

Seismic waveform classification technology has the characteristics of statistics of the overall change of the seismic signal and reflects the distribution of this change. It is an important extension of seismic attribute analysis technology. It has a good application effect on the reflected wave changes caused by geological anomalies, which is similar to the conventional single attribute prediction. Compared, it has the characteristics of sensitive reflection and reliable results. High density 3D seismic data have the characteristics of high signal-to-noise ratio, high resolution and high fidelity. This paper attempts to use waveform classification technology to predict the occurrence of coal seam and magmatic intrusion area reflected by high density 3D seismic data, and studies the interpretation method of collapse column. Through actual exposure and drilling verification in underground roadways, the prediction results have high accuracy and accurate bounds, which can provide accurate geological data for coal mining.