Wavelet estimation by matching well-log, VSP, and surface-seismic data
Ma Hong-Da1, Roy E. White2, and Hu Tian-Yue1
1. School of Earth and Space Sciences, Peking University, Beijing 100871, China.
2. School of Earth Sciences, Birkbeck, University of London, London, WC1, UK.
Abstract In this paper, we present a method of wavelet estimation by matching well-log, VSP, and surface-seismic data. It’s based on a statistical model in which both input and output are contaminated with additive random noise. A coherency matching technique is used to estimate the wavelet. Measurements of goodness-of-fit and accuracy provide tools for quality control. A practical example suggests that our method is robust and stable. The matching and estimation of the wavelet is reliable within the seismic bandwidth. This method needs no assumption on the wavelet amplitude and phase and the main advantage of the method is its ability to determine phase.
This research is supported by the Natural Science Foundation of China (Grant Nos. 40974066 and 40821062) and by the National Basic Research Program of China (Grant No. 2007CB209602).
Cite this article:
MA Hong-Da,Roy E. White,HU Tian-Yue. Wavelet estimation by matching well-log, VSP, and surface-seismic data[J]. APPLIED GEOPHYSICS, 2010, 7(4): 384-391.
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2010, Vol. 7 
