Reservoir Characterization Using Avo Attributes From Multi-Component Data

Traditionally, AVO analysis is mainly performed on P-wave data because of poor quality of S-wave data. Although the Pwave<br>analysis is a valuable tool, its results are sometimes too ambiguous to interpret. The recent development in ocean<br>bottom seismic technology makes it possible to acquire high quality S-wave data in marine environment. The use of Swaves<br>for AVO analysis can give a more reliable solution for reservoir characterization. In this paper, I present a real<br>data example using jointly P- and S-wave in AVO analysis. S-wave data give the opportunity to get an estimate of Swave<br>velocity and density variations. The real data example illustrates that the obtained elastic parameters allow indeed<br>to detect the fluid contacts and delineate the extent of reservoir sand. Some special prestack processing techniques for<br>the success of S-wave AVO inversion are also illustrated with this example.