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沙漠区基于浅层反射波的双参数扫描静校正方法

Dual-parameter scanning static correction method based on shallow reflected waves in desert area
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摘要 沙漠区初至波信噪比低和高密度采集导致初至拾取困难,影响了基于初至波的静校正效果和效率。浅层反射波结合沙丘曲线的静校正方法在沙漠区被证明是有效的,但目前该类方法通常在CMP域和叠加剖面上进行,可利用反射信息少,同时需要手动拾取反射波信息,操作过程繁琐。对浅层反射波结合沙丘曲线的静校正方法进行了改进,提出了基于浅层反射波对低速层速度和深度同时进行扫描反演近地表结构,并利用沙丘曲线静校正原理计算静校正量的方法。通过数值模拟测试了该方法对不同近地表模型的适应性、对不同信噪比数据反演的稳定性及影响反演效果的关键参数。实际地震资料处理结果表明,该方法能适应低信噪比数据,不依赖初至波或反射波拾取,计算效率高;与基于近地表调查的传统沙丘曲线静校正方法相比,可减少近地表调查的费用,且近地表建模精度更高,静校正效果更好,适用于沙漠区可控震源高效采集的地震数据处理。 The first arrival wave with low SNR and high-density acquisition in desert areas makes first arrival picking very difficult,which affects the effect and efficiency of static correction.The static correction technique of shallow reflection waves combined with dune curves has proven to be effective in desert areas.Currently,this method is usually carried out in CMP gathers or stack sections,which can utilize less reflection information,and the reflection wave information must be manually collected.Therefore,the implementation process is cumbersome.In view of these shortcomings,this study proposed a near-surface structure inversion method based on shallow reflected waves through velocity and depth dual-parameter scanning combined with a dune curve,in which static correction can be completed quickly and with high quality.The adaptability of the proposed method to different near-surface models,stability of the inversion results with different SNR data,and key parameters affecting the inversion effect were tested via numerical simulation.The method can be adapted to the undulating surface,different datasets,and low signal-to-noise ratio data,and it can be performed automatically without manual picking.The static correction results of actual seismic data show that this method has a good effect and obvious computational efficiency advantages,so it can be used to process seismic data collected by vibroseis in desert areas;however,whether it is applicable to other surface types must be further researched.
作者 崔庆辉 尚新民 赵胜天 刘群强 汪浩 龚剑 CUI Qinghui;SHANG Xinmin;ZHAO Shengtian;LIU Qunqiang;WANG Hao;GONG Jian(Geophysical Research Institute,Shengli Oilfield Company,Sinopec,Dongying 257000,China)
出处 《石油物探》 CSCD 北大核心 2023年第5期866-877,共12页 Geophysical Prospecting For Petroleum
基金 中国石油化工股份有限公司科技攻关项目(P22281) 胜利油田科技攻关项目(YKW2103)共同资助。
关键词 沙漠区 可控震源 参数扫描 浅层反射波 静校正 desert area vibroseis parameter scanning shallow reflected wave static correction
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