| 地震资料自适应高分辨率处理方法定量研究 |
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| 引用本文： | 郭锐,林鹤,余刚,张宇生.地震资料自适应高分辨率处理方法定量研究[J].地球物理学报,2017,60(9):3587-3600. |
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| 作者姓名： | 郭锐 林鹤 余刚 张宇生 |
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| 作者单位： | 中国石油集团东方地球物理公司新兴物探开发处, 河北涿州 072750 |
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| 基金项目： | 中国石油天然气集团公司科学研究与技术开发项目"物探新方法新技术研究"课题"页岩气和水合物地球物理新方法新技术"（2016A-3305）资助. |
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| 摘 要： | 分辨率是地震资料处理的重要问题,常以子波能量展布和震荡长度来定量分析,决定于地震资料的主频和频宽.越来越复杂的勘探对象要求高分辨率算法提供更丰富的波形和相位信息.实践表明自适应滤波方法在提高地震资料分辨率的同时,处理结果表现出更丰富的信息.在对APES方法的自适应滤波原理进行理论探讨和模型分析基础上,提出了加权方式的改进算法(WAPES).通过统计实验,对改进前后的方法在信噪比和分辨率方面的表现进行了定量分析,同时设计典型模型试验来证明新方法的适用性.最后,改进后的方法应用于实际工区资料的处理,取得了很好的应用效果.
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| 关 键 词： | 分辨率 自适应方法 带宽 信噪比 薄层 |
| 收稿时间： | 2016-10-31 |
Quantitative study of adaptive high resolution seismic data processing method |
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| GUO Rui,LIN He,YU Gang,ZHANG Yu-Sheng.Quantitative study of adaptive high resolution seismic data processing method[J].Chinese Journal of Geophysics,2017,60(9):3587-3600. |
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| Authors: | GUO Rui LIN He YU Gang ZHANG Yu-Sheng |
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| Institution: | BGP, China National Petroleum Corporation, Hebei Zhuozhou 072750, China |
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| Abstract: | The resolution is an important issue in seismic data processing, and is often quantitatively analyzed with wavelet energy distribution and turbulence length, which determine the frequency and bandwidth of seismic data. More and more complex exploration targets require high resolution algorithms to provide more waveform and phase information. The adaptive filtering method can improve the resolution of seismic data, and the corresponding results show more abundant information. Based on theoretical and numerical analysis of the adaptive filtering method (APES), an improved algorithm of weighted method (WAPES) is proposed. Through statistical experiments, a quantitative comparison of the performance between APES and WAPES is performed to evaluate the signal to noise ratio and the thin layer resolvability. Moreover, typical models are designed to prove the applicability of WAPES. Finally, this improved method is applied to the field data and the results show its effectiveness. |
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| Keywords: | Resolution Adaptive method Bandwidth Signal to noise ratio Thin layer |
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