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煤层工作面透–反射槽波数据融合处理方法研究
The Fusion Processing Method Study of Transmission-Reflection Channel Wave Data in Coal Seam Working Face

DOI: 10.12677/me.2024.123067, PP. 562-570

Keywords: 槽波勘探,透射法勘探,反射法勘探,数值模拟实验,数据融合
Channel Wave Exploration
, Transmission Prospecting, Reflection Exploration, Numerical Simulation Experiment, Data Fusion

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Abstract:

槽波勘探是煤层工作面小构造探测的主要方法之一。目前,槽波勘探主要以透射法和反射法为主,进行衰减系数CT成像和偏移成像。偏移成像在揭示走向断层时效果较好于衰减系数CT成像,本文将衰减系数CT成像数据与偏移成像数据进行融合,得到融合叠加剖面,结合两种方法成像的优势,从而对工作面地质构造进行全面的判断。根据衰减系数CT成像与反射偏移成像结果,将网格大小划分一致,相应的CT能量和偏移能量分别做归一化处理,对相同位置的网格单元进行配准,使用加权平均法对数据进行融合。采用槽波三维数值模拟技术,验证了融合叠加剖面揭示走向断层的优点;利用实测槽波数据,实现并对比分析了透–反射数据融合成像。实验结果证明:融合后的数据精确度有所提高,对煤层工作面地质条件判断准确性有所上升。该方法克服了单一槽波数据成像的局限性,为槽波勘探数据处理提供了一种新的思路。
Channel wave exploration is one of the main methods to detect small structures in coal seam working face. At present, transmission method and reflection method are mainly used for attenuation coefficient CT imaging and migration imaging in Channel wave exploration. The effect of migration imaging in revealing strike fault is better than that of attenuation coefficient CT imaging. In this paper, the attenuation coefficient CT imaging data and migration imaging data are fused and superimposed section is combined with the advantages of the two imaging methods to comprehensively judge the geological structure of the working face. According to the results of attenuation coefficient CT imaging and reflection migration imaging, the grid size is divided into the same size, and the corresponding CT energy and migration energy are normalized respectively to register the grid cells at the same position, and the data are fused by weighted average method Three-dimensional numerical simulation of Channel wave is used to verify the advantages of fused stacked section to reveal strike faults; Using measured Channel wave data, the fusion imaging of transmission-reflection data is realized and compared. The experimental results show that the accuracy of the fused data is improved, and the accuracy of judging the geological conditions of coal seam working face is improved. This method overcomes the limitation of single Channel wave data imaging and provides a new idea for Channel wave exploration data processing

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