1. 北京大学地球与空间科学学院,北京100871
2. School of Earth Sciences, Birkbeck, University of London, London, WC1, UK.
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.
马宏达,Roy E. White,胡天跃. 基于测井、VSP和地面地震数据最佳拟合的子波估计[J]. 应用地球物理, 2010, 7(4): 384-391.
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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