【摘要】 地震数据体中非正常地震道的识别一直是由人工进行分析的,如何快速而有效地识别和评价非正常地震道已经成为地震采集质量监控面临的重要问题。通过对地震道时窗能量特征和数据分数维的研究,提出了初至前是否起跳、极性反转、最大振幅异常、平均振幅异常、工业干扰道和主频异常等6种非正常地震道的自动识别方法和整体采集质量区域分布属性的评价方法,并开发了相应的软件系统。济阳坳陷纯化地区三维地震数据非正常地震道的自动识别和评价应用,提高了评价质量和工作效率,避免了一些人为感觉误差等因素的影响,同时展示了非正常地震道的分布情况,从而实现了地震采集数据由人工定性主观评价向自动定量客观评价的转变。更多还原

【Abstract】 Abnormal seismic trace recognition is manmade tasks all along.How to recognize and evaluate the abnormal seismic trace quickly and effectively has become one of the most important problems of quality control of seismic data acquisition.According to the research of energy characteristic and data fractal dimension of time window on the seismic trace,automatic recognition technologies for polarity reverse and others six abnormal traces were presented,and the evaluation of distribution attribute of overall acquisition quality region was proposed.The corresponding software system was also developed.It achieved better effect when it was applied to 3D seismic data of Chunhua region,Jiyang Depression. The evaluation quality and work efficiency was improved greatly,and the manmade error factors were avoided.And the distribution of abnormal seismic trace was shown.This method brings a change from subjective evaluation to automatic quantitative objective evaluation for the seismic data acquisition.更多还原