Study of blind deconvolution and application of method
Meng Xiao-hong, Wu He-zhen, Liu Guo-feng
Key Laboratory of Education Ministry of Surveying Technology and Apparatus of Underground Information, China University of Geology,Beijing City, 100083,China
Abstract：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.
