| 谱分解技术在煤层厚度预测及沉积环境方面的应用 |
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| 引用本文： | 郝治国,常锁亮,张新民,施绍武,桂文华,许玉莹,成跃.谱分解技术在煤层厚度预测及沉积环境方面的应用[J].中国煤炭地质,2014(2):55-59. |
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| 作者姓名： | 郝治国 常锁亮 张新民 施绍武 桂文华 许玉莹 成跃 |
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| 作者单位： | 山西山地物探技术有限公司,山西晋中030600 |
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| 摘 要： | 谱分解技术是通过短时窗离散傅里叶变换(DFT)将地震资料从时间域转换到频率域,得到振幅谱及相位谱调谐体的一项处理技术。通过谱分解顺层相位与频率切片可以较清晰地了解区内煤层的岩性特征及沉积环境,从而预测煤厚。基于该项技术,以山西省沁水盆地某研究区山西组3煤层为例,研究了3号煤层厚度与下伏砂岩厚度的对应关系,发现3煤层厚度与基底分流河道砂岩厚度呈负相关关系,即煤层厚度随基底砂岩厚度增大而减小。由此认为在三角洲平原沉积环境下,在钻孔较少且分布不均匀时,可通过谱分解属性切片对煤层基底砂岩厚度的预测来推断煤厚。该区利用谱分解技术预测的煤厚趋势与振幅法获得的煤厚趋势相比,其精度较高,因此,谱分解技术不失为一种较好的煤层预测方法。
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| 关 键 词： | 地震分辨率 谱分解法 振幅法 沉积环境 煤厚预测 |
Application of Spectral Decomposition Technology in Coal Thickness Prediction and Sedimentary Environment Aspects |
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| Hao Zhiguo,Chang Suoliang,Zhang Xinmin,Shi Shaowu,Gui Wenhua,Xu Yuying and Cheng Yue.Application of Spectral Decomposition Technology in Coal Thickness Prediction and Sedimentary Environment Aspects[J].Coal Geology of China,2014(2):55-59. |
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| Authors: | Hao Zhiguo Chang Suoliang Zhang Xinmin Shi Shaowu Gui Wenhua Xu Yuying and Cheng Yue |
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| Institution: | (Shanxi Mountain Land Geophysical Prospecting Technology Co. Ltd., Jinzhong, Shanxi 030600) |
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| Abstract: | The spectral decomposition technology is a kind of processing technology through short time window discrete Fourier trans- form （DFT）, transforming seismic data from time domain to frequency domain, in order to get amplitude spectrum and phase spectrum tuning body. Through spectral decomposition bedding phase and frequency slices can clearly find out coal seam lithological features and depositional environment, accordingly to predict coal thickness. Based on the technology, taking Shanxi Formation coal No. 3 in a Qinshui Basin study area, Shanxi Province as an example, studied correspondence between thicknesses of coal No.3 and underlying sandstone, have found a negative correlation between thicknesses of coal No.3 and basal distributary channel sandstone, i,e. coal thick- ness decreasing along with basal sandstone thickness increasing. From this considered that under the delta plain depositional environ- ment, in case of seldom and unevenly distributed boreholes, through spectral decomposition attribute slices can predict basal sandstone thickness, and then coal thickness. The accuracy of predicted coal thickness trend through spectral decomposition technology is better than those from amplitude method, thus the spectral decomposition technology can yet be regarded as a preferable coal seam predicting method. |
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| Keywords: | seismic data resolution spectral decomposition method amplitude method sedimentary environment coal thickness predic-tion |
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