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重型外源机械干扰噪声分离技术及应用

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近年来地震勘探野外采集工区范围内覆盖了越来越多的各种大中型厂矿,给野外采集地震记录造成了十分严重的外源重型机械干扰,严重降低了原始资料信噪比.常规基于去噪思路的压制方法要么去噪力度不足,要么容易伤害有效信号,难以适应重型机械干扰的情况.将重型机械干扰视作正常单炮的交涉混叠单炮,将去噪问题转化为数据分离问题,采用以广义曲波变换和同步压缩变换为核心的稀疏反演数据分离技术对有效信号和机械干扰进行精准分离和去噪.数值模拟及龙门山前带YC工区实际资料应用表明,稀疏反演方法较常规去噪对重型机械干扰压制效果较好,能够有效提高单炮信噪比,改善成像质量.
Heavy external mechanical interference noise separation technique and application
In recent years,the seismic exploration field acquisition area has covered more and more various large plants and factories,which brings serious exogenous mechanical interference to the field acquisition seismic records and significantly re-duces the signal-to-noise ratio of the original data.Conventional denoising methods either tend to harm the effective signal or have insufficient denoising strength to cope with heavy exogenous mechanical interference.In this paper,the heavy machinery interference is regarded as the aliasing single shot of normal single shot.The source aliasing data separation technique based on sparse inversion is used to effectively separate signal and noise by sparse transform and synchronous compression transform.Numerical simulations and the application of actual data from the YC work area in front of Longmen Mountain show that the method can effectively suppress heavy mechanical interference,and improve the signal-to-noise ratio for better imaging quality.

mechanical interferenceexogenous interferencenoise separationsparse inversionsignal-to-noise ratio

肖盈、涂远艮、王斌、钟家均、曾涛、李华科

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中国石化西南油气分公司勘探开发研究院,成都 610041

机械干扰 外源干扰 噪声分离 稀疏反演 信噪比

2024

物探化探计算技术
成都理工大学 中国地质科学院物化探研究所

物探化探计算技术

CSTPCD
影响因子:0.398
ISSN:1001-1749
年,卷(期):2024.46(5)