Seismic Impedance Inversion Using Cauchy Norm Regularization

Abstract

Summary High resolution deconvolution and seismic impedance inversion of seismic reflection data is extremely important in order to describe the geometry and the physical properties of subsurface structures. High resolution deconvolution results are taken as the reflectivity coefficient series of the earth and have broadband spectral information. However, when the noise content of the seismic data is increased, traditional inversion methods such as the least squares and quadratic regularization methods mostly lead to unreliable and low quality results. In addition, estimation of reflectivity from seismic data is generally band-limited and negatively affect impedance inversion. In this study, we used the Cauchy norm deconvolution (CND) method, which is iteratively applied and has high anti-noise ability. This produced high resolution deconvolution and also retrieved accurate seismic impedance results. We tested the performance of the CND method for impedance inversion on synthetic data and we showed that the method provides impedance with higher accuracy and reliability.