多重约束下异常地震道自动剔除与质量监控
详细信息 本馆镜像全文    |  推荐本文 | | 获取馆网全文
摘要
针对城区勘探中异常道发育的特点,采用分时间段的数据分析,提取不同时间段内地震数据的特征参数(能量、频率等),综合互相关参数、分频扫描、视衰减因子等检测不正常道,在多重约束下确定不正常道的位置,并自动剔除。在质量监控方面,对自动剔除的不正常道进行点-线-面的分析,确保自动剔除的效果,多重约束的处理方法既保证了坏道检测的准确性,又提高了工作效率。量化的质量监控方式使得处理人员了解已剔除的不正常道在空间的分布位置,便于检查与核实,文中图件展示了处理结果的有效性。
According to the characteristics of abnormal traces from urban districts,we use the characteristic parameter (energy,frequency,etc)of seismic data in different time segmens to automatically detect and delete abnormal traces by comparing cross correlation coefficients,frequency division scanning results,and apparent attenuation factors.In quality control,we take a point-line-surface policy to guarantee the effect of automatic rejection.The multi-constraint processing method not only guarantees the accuracy of abnormal trace detecting but also improves the efficiency.Quantitative quality control method makes processors know the exact locations of the deleted abnormal traces.Results from real data showed the effectiveness of the method.
引文
1崔兴宝.复杂地质条件下的地震采集质量监控[J].石油地球物理勘探,2003,38(1):11~16
    2蔡希玲,赵波,贺振华,等.异常噪声对叠前多道处理效果的影响[J].石油物探,2002,41(1):84~87
    3张翎孟,刘秋林,张永科.地震资料品质定量分析和采集参数优选[J].石油地球物理勘探,2008,43(增刊2):1~5
    4俞寿朋.高分辨率地震勘探[M].石油工业出版社,1993.142~145
    5蔡希玲,吕英梅.地震数据的时频分析与分频处理[J].勘探地球物理进展,2005,28(4):265~270
    6 Hilterman F J.Amplitudes of seismic waves—a quicklook[J].Geophysics,1975,40(5):745~762
    7 Sheriff R E.Encyclopedic dictionary of applied geo-physics[M].4thed.Society of Exploration Geophysi-cists,2002.1~429

版权所有:© 2023 中国地质图书馆 中国地质调查局地学文献中心