| YE地区低信噪比复杂地表资料的静校正处理技术 |
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| 引用本文： | 肖盈,居兴国,齐玉涛,刘燕峰,邹少峰.YE地区低信噪比复杂地表资料的静校正处理技术[J].山东国土资源,2017,33(11). |
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| 作者姓名： | 肖盈 居兴国 齐玉涛 刘燕峰 邹少峰 |
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| 作者单位： | 中国石油化工股份有限公司石油物探技术研究院,中国石油化工股份有限公司石油物探技术研究院,四川大学,中国石油化工股份有限公司石油物探技术研究院,中国石油化工股份有限公司石油物探技术研究院 |
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| 摘 要： | 当地震资料既存在严重静校正问题,信噪比又极低时,严重的静校正问题会制约提高信噪比技术的效果,同时低信噪比问题又会严重导致静校正问题得不到很好解决,两者形成一种耦合关系,严重影响资料的成像效果。以解决复杂地表条件下低信噪比资料的静校正问题为出发点,讨论了折射层析静校正和初至波层析静校正适用性,提出了层析静校正融合技术;分析了生产中常用模型迭代剩余静校正和非地表一致性剩余静校正方法的适用性,提出了基于蒙特卡罗剩余静校正与模型约束最大能量剩余静校正的综合剩余静校正技术,摸索出一套有效解决低信噪比资料静校正问题的处理技术。以YE地区存在严重静校正问题的低信噪比资料为例,验证了所述静校正处理技术的有效性。
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| 关 键 词： | 静校正 低信噪比 层析静校正融合 综合剩余静校正 |
Application of Processing Technique of Static Correction in Complex Surface Structure with Low S/N in YE Area |
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| XIAO Ying,JU Xingguo,QI Yutao,LIU Yanfeng and ZOU Shaofeng.Application of Processing Technique of Static Correction in Complex Surface Structure with Low S/N in YE Area[J].Land and Resources in SHANDONG Province,2017,33(11). |
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| Authors: | XIAO Ying JU Xingguo QI Yutao LIU Yanfeng and ZOU Shaofeng |
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| Abstract: | When there are both serious seismic data statics problem and low signal to noise ratio, the static correction problem will be restricted to improve the effect of signal-to-noise ratio seriously, and the low SNR will lead to static correction problems which cannot be solved seriously. They form a kind of coupling relation, and seriously affect the effect of imaging data. In order to solve the complex surface conditions of low SNR data static correction problem, the suitability of the refraction tomographic static correction and tomographic static correction have been analyzed, and tomographic static correction fusion technology has been put forward. Applicability of the commonly used model in the production of iterative residual static correction and non surface consistent residual static correction method have been analyzed. Comprehensive residual static correction technology based on Monte Carlo model constrained maximum residual static correction and residual static correction energy has been put forward. A set of effective solution to low SNR data static correction processing technology have been explored. Taking the low signal-to-noise ratio (SNR) data of severe static correction in YE area as an example, the effectiveness of the proposed static correction technique is verified. |
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| Keywords: | Static correction low signaltonoise ratio tomostatics fusion integrated residual static correction |
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