Phase Inversion of Seismic Data With Unknown Source Wavelet : Synthetic Examples
Phase Inversion of Seismic Data With Unknown Source Wavelet : Synthetic Examples
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DOI：
10.1190/1.2148021
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Wonsik Kim;C. Shin
中科院分区：
文献类型：
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作者：
Wonsik Kim;C. Shin
本文提出了一种新的、可靠的地震资料速度反演方法。我们的算法模型的声波方程，利用频域有限元建模技术来计算相对于地球模型参数，如速度的地震数据的相位的雅可比矩阵。在地震资料的震源估计中，地球物理学家在实施波形反演时遇到了困难。在算法中加入了恢复源信号子波相位信息的步骤，解决了源信号估计的问题。我们的算法实现了一个迭代反演的源相位的时间，当我们计算的残余误差向量的目标函数，包括源相位。波形反演要求提取地震资料中可靠的低频成分，以估计低波数速度模型。由于震源和接收器的频带限制，很难从真实的地震资料中提取可靠的低频分量。在这项研究中，我们假设它是可能的，以提取可靠的成分的低频，特别是相对于相位信息。通过数值算例，验证了本文方法在叠前深度偏移速度模型估计中的可行性。
We propose a new and reliable velocity inversion technique of seismic data in this study. Our algorithm models the acoustic wave equation, exploiting a frequency domain finite element modeling technique to calculate the Jacobian of the phase of the seismic data with respect to the earth model parameter such as a velocity. Geophysicists have encountered difficulties when implementing a waveform inversion in the source estimation of the seismic data. We solve the issue of the source estimation, adding the step of recovering the phase information of source wavelet into our algorithm. Our algorithm implements an iterative inversion of the source phase at the time when we calculate the residual error vector from the objective function including the source phase. Waveform inversion requires extracting the reliable low frequency content of seismic data to estimate the low wave number velocity model. It is difficult to acquire the reliable low frequency component of real seismic data due to the band limited characteristic of the source and receivers. In this study, we assume that it is possible to extract the reliable component of low frequency, especially with respect to phase information. Through synthetic numerical examples, we will attempt to demonstrate the feasibility of our method in estimating the correct velocity model for prestack depth migration.