| 基于神经网络的面波迭代反演应用研究 |
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| 引用本文： | 贺懿,张进,刘怀山. 基于神经网络的面波迭代反演应用研究[J]. 西南石油学院学报, 2010, 32(1) |
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| 作者姓名： | 贺懿 张进 刘怀山 |
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| 作者单位： | 贺懿,HE Yi(中国海洋大学海洋地球科学学院,山东,青岛,266100;中海石油有限公司湛江分公司研究院,广东,湛江,524057);张进,刘怀山,ZHANG Jin,LIU Huai-shan(中国海洋大学海洋地球科学学院,山东,青岛,266100) |
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| 基金项目： | 国家高技术研究发展计划(863计划)，山东省自然科学基金 |
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| 摘 要： | 根据滩浅海近地表结构特征,尝试利用地震记录中的面波进行近地表结构研究,以便了解滩浅海地区的近地表地层介质结构变化,为深层油气勘探提供准确的低降速带资料.针对面波频散反演已有方法存在的不足,引入一种基于BP神经网络的迭代反演方法对面波的频散曲线进行拟合迭代,用于反演预测滩浅海低降速带地层参数.由于神经网络具有很强的自学习、自适应、自组织和容错能力,它的反演预测能力非常强大,能够较精确地预测出所要求解的目标数据,同时结合传统迭代反演方法的优点,增强了该方法的反演预测能力.通过对滩浅海近地表结构模型试算,获得好的效果,同时进一步对实际记录进行了计算,也取得了比较满意的结果.
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| 关 键 词： | 滩浅海近地表结构 面波 频散曲线 BP神经网络 迭代反演 地震勘探 |
STUDY ON THE APPLICATION OF ITERATIVE INVERSION OF SURFACE WAVE BASED ON ARTIFICIAL NEURAL NETWORK |
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| HE Yi,,ZHANG Jin,LIU Huai-shan. STUDY ON THE APPLICATION OF ITERATIVE INVERSION OF SURFACE WAVE BASED ON ARTIFICIAL NEURAL NETWORK[J]. Journal of Southwest Petroleum Institute, 2010, 32(1) |
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| Authors: | HE Yi ZHANG Jin LIU Huai-shan |
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| Affiliation: | HE Yi1,2,ZHANG Jin1,LIU Huai-shan1(1.College of Marine Geo-science,Ocean University of China,Qingdao Sh,ong 266100,China,2.Research Institute,Zhanjiang Company,CNOOC Ltd.,Zhanjiang Guangdong 524057,China) |
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| Abstract: | Because traditional methods applied in investigating surface-structure are restricted on paralic zone,according to the feature of surface-structure on paralic zone,the try is done to use the surface wave on seismic record to research the surface-structure and to offer deep exploration activity of weathering zone.In view of shortages in the methods applied in dispersion curve inversion of surface wave,an iterative inversion method based on BP(Back-propagation) artificial neural network is introduced to surfa... |
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| Keywords: | surface-structure on paralic zone surface wave dispersion curve BP artificial neural network iterative inversion seismic prospecting |
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