| 谱分解技术在预测煤层岩浆岩侵入区的应用 |
| |
| 引用本文： | 陈同俊,王新,崔若飞.谱分解技术在预测煤层岩浆岩侵入区的应用[J].中国煤炭地质,2010(8):16-17,57. |
| |
| 作者姓名： | 陈同俊 王新 崔若飞 |
| |
| 作者单位： | 中国矿业大学,江苏徐州221116 |
| |
| 摘 要： | 岩浆岩的侵入问题一直严重影响着煤矿的安全和高效生产,如何准确地划分出岩浆岩侵入区范围是急需解决的关键问题之一。通过对正演模型数据和实际数据的谱分解分析,发现正常煤层与岩浆岩侵入煤层间存在着明显的频谱差异。正常煤层反射波在其主频对应的谱分解切片上的能量较强,而岩浆岩侵入煤层反射波在同一谱分解切片上的能量较弱。对于实际煤层数据来说,通过钻井标定,即可以定量、准确地划分出岩浆岩侵入区的范围。以大屯煤电公司徐庄煤矿为例,对7煤层谱分解沿层切片与振幅沿层切片进行了对比解释,结果证实谱分解技术对预测煤层岩浆侵入范围是切实可行的。
|
| 关 键 词： | 谱分解 正演模拟 窗口Fourier变换 |
Application of Spectral Decomposition Technology on Coal Seam Magmatic Intrusion Prediction |
| |
| Chen Tongjun,Wang Xin and Cui Ruofei.Application of Spectral Decomposition Technology on Coal Seam Magmatic Intrusion Prediction[J].Coal Geology of China,2010(8):16-17,57. |
| |
| Authors: | Chen Tongjun Wang Xin and Cui Ruofei |
| |
| Institution: | (China University of Mining and Technology,Xuzhou,Jiangsu 221116) |
| |
| Abstract: | Coalmine safety and high efficiency production are always seriously impacted by the magmatic intrusion.How to cycle out magmatic intrusion limits correctly is one of key issues need to be solved urgently.Through forward modeling data analysis and actual data spectral decomposition analysis have found that the obvious spectrum difference is existed between normal coal seams and magmatic intruded coal seams.Normal coal seam reflection has stronger energy on spectral decomposition slices corresponding to its basic frequency,while magmatic intruded coal seam reflection has weaker energy on the same slices.For actual coal seam data,can cycle out magmatic intrusion limits quantitatively and correctly through borehole calibration.To take the Xuzhuang coalmine of the Datun Coal and Power（Group） Co.Ltd.as an example,correlated and interpreted No.7 coal seam spectral decomposition bedding slices and amplitude bedding slices,the results have demonstrated that the spectral decomposition technology is practicable in magmatic intrusion limits prediction. |
| |
| Keywords: | spectral decomposition forward modeling window Fourier transform |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
