论文部分内容阅读
本文依据速度分析原理及L1和L2 范数的滤波特性 ,假设经过动校正的中心点道集中 ,任何一个时刻地震信号的采样值与炮检距平方满足一阶线性方程 ,提出了一种叠加速度分析新方法。该方法通过对沿着由t0 时间和叠加速度决定的双曲线延迟数据中提取的地震信号进行L1和L2 范数混合滤波 ,来实现噪声和信号的分离。由此 ,我们可以估计信噪比和设计合适的速度检测因子 ,从而提高速度分析的精度。我们用实例验证了该方法的可靠性和实用性。
In this paper, based on the principle of velocity analysis and the filtering characteristics of L1 and L2 norm, it is assumed that the center point of the moving correction is concentrated and the sampling value of the seismic signal meets the first-order linear equation at any one time. Analyze new methods. This method implements noise and signal separation by performing L1 and L2 norm filtering on seismic signals extracted from hyperbolic delay data determined by t0 time and stacking speed. As a result, we can estimate the signal-to-noise ratio and design a suitable speed detection factor to improve the speed analysis accuracy. We use examples to verify the reliability and practicability of this method.