Online published: 2012-10-20
Velocity es timation and modeling technique is a key issue in exploration seismic. As a typical inversion problem, velocity estimation should be carried out under the framework of Bayesian estimation. However, a series of techniques for velocity analysis and modeling are developed by the petroleumindustry. In viewof the present situation of research and application of velocity estimation and modeling technique, we try to analyze the current velocity estimation methods under the framework of Bayesian estimation. All the existing velocity estimation methods can be incorporated into the following two objective functions: the best correlation criterion （the best focusing criterion） in the image-domain or the least error criterion in the data-domain. The gradient-guided local optimization method and Monte Claro method can be used to estimate the seismic velocity in different scales. Under this framework, we can analyze the common features of all the currentmethods, and develop new methods and techniques for velocity estimation.
XU Xiaohong , PAN Wei , GUO Zengqiang , DAI Lifei . Comparison among velocity analysis and inversion methods[J]. Lithologic Reservoirs, 2012 , 24(5) : 1 -11 . DOI: 10.3969/j.issn.1673-8926.2012.05.001
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