| 多煤层自燃磁异常的小波分析 |
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| 引用本文： | 岳建华 曹璎瑜. 多煤层自燃磁异常的小波分析[J]. 煤炭学报, 1996, 21(3): 296-300 |
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| 作者姓名： | 岳建华 曹璎瑜 |
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| 作者单位： | 中国矿业大学 |
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| 摘 要： | 煤层自燃形成的烧变岩具有较强热剩磁根据深、浅烧变岩层磁异常及磁性干扰信号在频率成分上的差异，采用小波多分辨分析概念和Ｍａｌａｔ算法，实现了多煤层自燃叠加磁异常的去噪和分离处理，应用实例表明，该方法有效可行结合理论模型试算，研究了截断误差、磁异常采样密度和烧变岩层间距离等对小波分解结果的影响
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| 关 键 词： | 多煤层自燃叠加磁异常 去噪和异常分离 小波分析 |
WAVELET ANALYSIS OF MAGNETIC ANOMALY RESULTED FROM SPONTANEOUS IGNITION OF A MULTIPLE COAL SEAMS |
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| Yue Jianhua Cao Yinglu Li Zhidan. WAVELET ANALYSIS OF MAGNETIC ANOMALY RESULTED FROM SPONTANEOUS IGNITION OF A MULTIPLE COAL SEAMS[J]. Journal of China Coal Society, 1996, 21(3): 296-300 |
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| Authors: | Yue Jianhua Cao Yinglu Li Zhidan |
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| Affiliation: | China University of Mining and Technology |
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| Abstract: | The sintered rock resulted from coal self ignition has very strong thermoremanence.Based on the frequency difference of magnetic anomalies and magnetic interference signal of sintered rocks at different depths,the concept of multi resolution and Mallat algorithm are applied to eliminate noises and to separate stacking anomalies of a number of coal seams.Case study has proved that this method is feasible and effective.The effect of truncated error,sample density and interval of sintered rocks on the wavelet decomposition is discussed respectively on the basis of model test data. |
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| Keywords: | stacking magnetic anomaly of a multiple self ignition coal seams noise elimination and anomaly separation wavelet analysis |
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