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重采样法高分辨率处理 被引量:2

High-resolution data processing by resampling method
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摘要 重采样法是一种获得高分辨率地震剖面的方法。此法首先从常规低频叠后剖面上用沃希函数法反演出具有明显分层特点的相对声阻抗,然后对声阻抗进行重采样,加密采样点,减少采样间隔;并在保持子波波形不变的条件下,在时间轴上压缩子波,再由重采样后的声阻抗和压缩后的子波生成地震道,得到高分辨率地震剖面。模型数据和实际资料的处理结果表明:重采样法能明显提高分辨率,而不增加新的噪声。得到的高分辨率剖面对确定小断层、薄透镜体和薄尖灭体等有很大的帮助,在薄储层研究中有很好的应用前景。 Resampling is a method for producing a high-resolution seismic section. This method consists of the following steps: deriving the layered relative acoustic impedance data from an usual stacked low-frequency seismic section with the use of Walsh function denser resampling of the acoustic impedance data compressing the wavelets along time axis on the condition that their wave forms remain unchanged producing a high-resolution section by combining the resampled acoustic impedance data with compressed wavelets to form seismic traces.The processing results of modeling and real data prove that the resampling method improves resolution greatly, without noise increased. The high-resolution seismic section is very helpful to the discovery of minor faults, thin lens and pinch;therefore it will find wide application in thin reservoir research.
机构地区 江汉石油学院
出处 《石油地球物理勘探》 EI CSCD 北大核心 1994年第4期498-503,共6页 Oil Geophysical Prospecting
关键词 地震数据 高分辨率 重采样 seismic data processing, high resolution, Walsh function, resampling
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参考文献5

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