An Iterative AVO Inversion Workflow for S-wave Improvement

Although routinely used for reservoir prediction, the conventional full-stack data is usually contaminated by AVO effects. So, AVO inversion, known for its real P-wave information with AVO effects removal and other abundant elastic attributes, is usually applied for a better reservoir prediction. However, it is not easy to conduct an AVO inversion precisely and efficiently, since the S-wave results of conventional linear inversion method (relatively fast) is strongly dominated by initial Vp/Vs model, while the non-linear inversion method is easily fallen into local optimization and also computer-intensive. To overcome these shortcomings, this paper presents an iterative AVO inversion workflow to improve the inverted S-wave component for reservoir prediction at an acceptable speed at first, and then tests it by both modeling and field data. It was proved to be an effect workflow to improve inverted S-wave data.