An iterative AVO inversion workflow for pure P-wave computation and 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 the conventional linear inversion method (relatively fast) have been concluded to be highly effected by the initial Vp/Vs model, while the non-linear inversion method easily falls into local optimization and is 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 modelling and field data. It is proven to be an effective workflow to improve inverted S-wave data.