文件名称:Fast-genetic-residual-static-cor
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快速遗传剩余静校正方法(FGRS)
关键词: 互相关剩余静校正 遗传算法剩余静校正 快速遗传剩余静校正方法 大剩余静校正量
复杂地质地区(如复杂山地、山前带等),在野外静校正、折射或层析静校正等之后,仍可能存在大剩余静校正量,影响叠加效果。转换波剩余静校正量往往也较大,是转换波地震资料处理的难题之一。针对上述问题,研发了快速遗传剩余静校正方法,其特点是:
地表一致性
组合算法(互相关+遗传算法)
非线性反演
快速高效
全局寻优
可解决大的纵波剩余静校正量问题(主要针对中高频量,可部分解决小的中低频量问题)
可部分解决转换波剩余静校正量问题
实际数据处理效果较好,对大剩校量的解决优于主流商业软件-fast genetic residual static correction method (FGRS)
Keywords : cross-correlation residual statics residual statics fast genetic algorithm genetic residual statics method large residual statics
Complex geological areas ( such as complex mountain , piedmont zone , etc. ) , in the field statics , refraction statics or chromatography , etc. After that, there may still be a large residual statics , the impact of overlay effect . Converted wave residual statics often larger problem is one of the converted wave seismic data processing . In response to these problems , the fast development of genetic residual static correction method , which is characterized by :
Surface consistency
Combination algorithm ( cross-correlation+ genetic algorithm )
Nonlinear inversion
Fast and efficient
Global optimization
Solve large longitudinal wave residual statics problem ( mainly for high frequency volume can partially solve the problem of small amount of low-frequenc
关键词: 互相关剩余静校正 遗传算法剩余静校正 快速遗传剩余静校正方法 大剩余静校正量
复杂地质地区(如复杂山地、山前带等),在野外静校正、折射或层析静校正等之后,仍可能存在大剩余静校正量,影响叠加效果。转换波剩余静校正量往往也较大,是转换波地震资料处理的难题之一。针对上述问题,研发了快速遗传剩余静校正方法,其特点是:
地表一致性
组合算法(互相关+遗传算法)
非线性反演
快速高效
全局寻优
可解决大的纵波剩余静校正量问题(主要针对中高频量,可部分解决小的中低频量问题)
可部分解决转换波剩余静校正量问题
实际数据处理效果较好,对大剩校量的解决优于主流商业软件-fast genetic residual static correction method (FGRS)
Keywords : cross-correlation residual statics residual statics fast genetic algorithm genetic residual statics method large residual statics
Complex geological areas ( such as complex mountain , piedmont zone , etc. ) , in the field statics , refraction statics or chromatography , etc. After that, there may still be a large residual statics , the impact of overlay effect . Converted wave residual statics often larger problem is one of the converted wave seismic data processing . In response to these problems , the fast development of genetic residual static correction method , which is characterized by :
Surface consistency
Combination algorithm ( cross-correlation+ genetic algorithm )
Nonlinear inversion
Fast and efficient
Global optimization
Solve large longitudinal wave residual statics problem ( mainly for high frequency volume can partially solve the problem of small amount of low-frequenc
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