煤炭作为支撑国民经济的重要能源资源，准确地描述煤层特征对于估算煤炭储量具有重要的意义．在地震勘探中，地震波包含了地下煤层的重要信息，应用地震层析技术，将地震数据体通过菲涅耳带插值宽谱层析反演技术进行处理，可实现对煤层表征．实际应用结果表明，该技术对于描述煤层位置以及火成岩侵入体位置非常有效，能够更容易地识别出煤层特征．%AbIn recent years, coal has becomed important energy resources to support national economy. Therefore, how to describe the characterization of coal seam accurately is also important in estimating the the remaining reserve in subsurface. Seismic wave is an very important parameter to characterize reservoir＇s properties of coal bed methane as well as quality of coal. In this paper, we show methodology to image the subsurface velocity using seismic tomography. Data are processed by Fresenl interpolated wavepath （FIW） wide -band inversion tomography. It is very useful for characterizing the coals seam as well as to detect the position of intrusion body.
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