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作 者:汤君健 张正炳[1] 付青青[1] Tang Junjian;Zhang Zhengbing;Fu Qingqing(Electronics&Information School,Yangtze University,Jingzhou 434023,Hubei)
出 处:《长江大学学报(自然科学版)》2020年第2期22-26,I0003,共6页Journal of Yangtze University(Natural Science Edition)
基 金:国家自然科学基金项目“随钻方位声波测井图像复原方法研究”(51604038)。
摘 要:地震勘探数据正向多维、多分量、多参数、高分辨率方向发展,使得勘探数据呈指数增长,对这些海量观测数据进行有效传输、存取成为制约对其进一步开发、利用的重大难题。利用多层小波分解的嵌入式零树编码对SEG-Y文件中的地震数据集进行压缩,对地震数据集进行分块处理和数据扩展填充,实现对SEG-Y文件的压缩。试验结果表明,数据扩展填充后,对叠前地震数据压缩4倍以下时,信噪比高于48dB,仍能保持较好的压缩质量。The seismic exploration data are developing in the direction of multi-dimension,multi-component,multi-parameter and high-resolution,which makes the exploratory data grow exponentially.The effective transmission and access of these massive observation data becomes a major problem that restricts their further development and utilization.In order to realize the compression of the SEG-Y files,the seismic data set in the SEG-Y files were compressed by using the embedded zero-tree coding for multi-layer wavelet decomposition,and the seismic data set was subjected to block processing and data expansion and filling.The experimental results show that after the data expansion and filling,when the pre-stack seismic data are compressed by 4 times or less,the signal-to-noise ratio is higher than 48 dB,and good compression quality can still be maintained.
关 键 词:地震数据压缩 SEG-Y文件 小波变换 数据扩展填充
分 类 号:P315.61[天文地球—地震学] TP391[天文地球—固体地球物理学]
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