| 用神经网络进行自适应反褶积 |
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| 引用本文： | 王彦春,段云卿.用神经网络进行自适应反褶积[J].石油天然气学报,1995,17(3):31-34. |
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| 作者姓名： | 王彦春 段云卿 |
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| 作者单位： | 江汉石油学院地球物理勘探系 |
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| 摘 要： | 提高地震资料的分辨率是物探资料处理的一个重要目标，借助神经网络的误差修改算法对地震资料进行反褶积。可在误差平方最小意义下最佳地确定反射系数序列和地震子波，且对子波，反射系数序列及噪声不需作任何假设，对理论合成记录进行试算，得出了较好的结果。
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| 关 键 词： | 地震数据处理 神经网络 分辨率 地震勘探 |
Adaptive Deconvolution Using Neural Networks |
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| Wang Yanchun, Duan Yunqing.Adaptive Deconvolution Using Neural Networks[J].Journal of Oil and Gas Technology,1995,17(3):31-34. |
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| Authors: | Wang Yanchun Duan Yunqing |
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| Abstract: | It is one of main tasks to raise the resolution of seismic data in data processing.Using an algorithm of neural networks,a deconvolution for seismic data can be made by iteration and, thereby, wavelet and reflectivity series can be get at the same time.This method has no limit to wavelet and reflectivity series forms.Preliminary experiments show more advantages over traditional deconvolution methods. |
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| Keywords: | seismic data processing deconvolution reflectivity Wavelet neural network resolution |
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