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在地震资料处理中,废道检测是一项基础性工作,对后续处理进度和质量有较大影响.奇异值分解技术广泛应用于地震资料处理,本文首次将奇异值分解应用于废道识别中,给出一种基于奇异值分解的废道自动识别算法,通过提取平均振幅、主频、过零点个数、相关系数和衰减因子等5个地震道属性特征,利用奇异值分解技术找出正常道所具有的属性特征向量,根据向量距离找出废道,最后通过实际生产所用地震资料进行了测试验证,结果表明,本算法可以快速准确地识别废道.
In the seismic data processing, the detection of the waste track is a basic work, which has a great influence on the progress and quality of the subsequent processing. The singular value decomposition technique is widely used in the seismic data processing. For the first time, this paper applies the singular value decomposition , An automatic waste track recognition algorithm based on singular value decomposition is proposed. By extracting the attributes of five seismic traces, such as average amplitude, dominant frequency, number of zero crossings, correlation coefficient and attenuation factor, the singular value decomposition According to vector distance, we find out the waste road and finally verify the seismic data used in actual production. The results show that this algorithm can quickly and accurately identify waste road.