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低信噪比数据静校正技术综合应用研究 被引量:5

Integrated static corrections for low SNR data
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摘要 在地表条件复杂、数据信噪比低的地区,静校正问题对高精度地震成像的影响尤为突出。针对这一问题,开展了静校正综合应用技术研究,通过应用试验和效果对比分析,总结出一套逐步解决低信噪比数据静校正问题的可行方案。首先通过评价应用效果确定最佳的基准面静校正方法,如层析静校正、折射波静校正;然后发挥不同剩余静校正方法的优势,应用迭代逐步解决沟谷和侵蚀区的剩余静校正问题。在实际资料处理中,该综合静校正技术明显地提高了地震成像精度,取得了较好的效果。 In areas with complex surface conditions,static corrections are vital for seismic imaging,especially when data is low signal-to-noise ratio(SNR).Although many static corrections methods available,but how to use these methods to solve statics problems for low SNR data still needs further study.For this reason,we choose a project of low SNR data in a mountainous area to carry out the research of integrated static corrections.Through a series of experiments and comparisons,a set of static corrections methods for low SNR is summarized.First of all,the best datum statics are determined by tomographic static corrections and refraction wave static corrections.Then with different residual static corrections methods,statics of valleys and erosion areas are solved by iteration,and the precision of static corrections is obviously improved.Real data processing results show that our integrated static corrections improve significantly seismic imaging quality.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2017年第A02期14-18,共5页 Oil Geophysical Prospecting
基金 中国石油科学研究与技术开发项目(2016A-33) 软件重大专项(2016E-10)联合资助
关键词 低信噪比 层析 地表一致性 超级道 静校正 signal-to-noise ratio(SNR) tomography surface consistent super trace static corrections
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