多子波分解与重构在郭家滩煤矿薄煤层识别中的应用

Application of multi wavelet decomposition and reconstruction in thin coal seam identification for Guojiatan Coal Mine

  • 摘要: 【目的】郭家滩煤矿主采煤层为2-2、3-1、4-3和5-3煤层,由于上部2-2煤层较厚,易形成强能量地震反射波,对下部3-1、4-3和5-3薄煤层地震反射波存在能量屏蔽效应。为解决此情况,【方法】文中详细地介绍了多子波分解与重构技术方法原理,根据郭家滩煤矿主采煤层地质赋存特征构建了地质模型,并采用声波波动方程进行地震正演模拟。【结果】利用地质模型正演模拟地震记录对多子波分解与重构技术进行测试、分析认为该方法可以有效地提取出强能量地震反射波,从地震数据中将强能量地震反射波剔除后使深部薄煤层地震反射波能量相对增强,从而提高地震勘探对薄煤层的识别能力。【结论】同时将多子波分解与重构技术应用到郭家滩煤矿实际三维地震数据处理中,取得了良好的应用效果,并为郭家滩煤周边区域或其他类似地区地震勘探工作提供借鉴。

     

    Abstract: The main coal seams of Guojiatan Coal Mine are the 2-2,3-1,4-3,and 5-3coal seams. Due to the thick thickness of the upper 2-2coal seam,strong energy seismic reflection waves are easily formed in the 2-2coal seam,which has an energy shielding effect on the seismic reflection waves of the lower 3-1,4-3,and 5-3thin coal seams. This article provides a detailed introduction to the principles of multi wavelet decomposition and reconstruction techniques. Based on the geological characteristics of the main coal seam in Guojiatan Coal Mine,a geological model is constructed,and seismic forward simulation is carried out using the acoustic wave equation. The use of geological model forward modeling to simulate seismic records for multi wavelet decomposition and reconstruction technology has been tested and analyzed. It is believed that this method can effectively extract high-energy seismic reflection waves. After removing high-energy seismic reflection waves from seismic data,the energy of deep thin coal seam seismic reflection waves is relatively enhanced,thereby improving the ability of seismic exploration to identify thin coal seams. The application of multi wavelet decomposition and reconstruction techniques to the actual 3D seismic data processing of Guojiatan Coal Mine has achieved good results.

     

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