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An impedance inversion method based on wavelet energy balancing

Accurate wavelet estimation is absolutely critical to the success of any seismic inversion. The inferred shape of seismic wavelet may strongly influence the seismic inversion result and, thus, subsequent assessments of the reservoir quality. Wavelet amplitude is a key factor in the process of wavelet estimation. So, this paper proposes a method with wavelet energy balancing strategy of impedance inversion. However, inversion problems are generally ill-posed. Regularization methods are essential for solving such problems, this paper we adopt regularization method to solute its intrinsic ill-posed problem. Meanwhile, we make improvements to conjugate gradient search direction on the basis of normal conjugate gradient algorithm. Theoretic simulations are made and the field data are applied, it is proved that this method has advantage of high precision, robustness, and wide range of applications.