盲源反褶积方法与应用研究

Study of blind deconvolution and application of method

本文在Guy Canadas等 提出的针对非最小相位子波和非白噪反射系列情况下的盲源反褶积数学框架的 基础上,通过松弛交替求解法和预条件共轭梯度算法,采用具有稀疏特性的反射系列惩罚项,实现了地震子波 和反射系数的同时估计,理论模型和实际资料处理结果表明,此法不仅能够很好地实现子波与反射系数的同时 估计,并且算法稳定,收敛速度快,是提高地震资料分辨率的有效手段,可以有效地拓宽记录的有效频带,突出 其中的结构信患。在地震数据处理中有着良好的应用前景。

On the basis of mathematic framework of blind deconvolution presented by Mr. Guy Canadas et al in view of the situations of non-minimum phase wavelet and non-white reflection sequence, the paper used the penalty term of reflection sequence characterized by sparse by using alternative relaxation solution and preconditioned conjugate gradient algorithm, which realized simultaneous e-valuation of seismic wavelet and reflection coefficients. The results of theoretical models and real data processing showed that the method not only can better realize the simultaneous evaluation of seismic wavelet and reflection coefficients,but also has advantages of stable algorithm and fast convergence, which is effective tool of improving the resolution of seismic data that can effectively broaden the useful band of records,highlight the structural information and have good applied prospect in seismic data processing.