Color correction for Gabor deconvolution
Peng Cheng, Gary F. Margrave
Reflectivity is usually assumed to be white for conventional deconvolution algorithms. However, the reflectivity series in practice usually demonstrates a characteristically colored spectrum, so deconvolution algorithms should be modified accordingly. This article presents a color correction method for Gabor deconvolution, and proposes different ways to conduct the color correction in case of incomplete well log information. Testing on synthetic data shows that the effectiveness of color correction is subject to the available frequency band and the completeness of well log information. In addition, the performance of proposed approaches to deal with an incomplete well log are evaluated using synthetic data.