We can obtain elastic parameters through prestack amplitude versus offset (AVO) inversion, which is used to characterize the reservoir, so it is significant to obtain high precision elastic parameters in order to get highly reliable reservoir prediction result. In this paper, we develop a AVO inversion method based on Bayesian theory in ray parameter domain, whose output is density, P-wave impedance and . These elastic parameters have high precision, which are valuable input for reservoir characterization because they are related to lithology and fluid content of the reservoir. In ray parameter domain inversion, the ray path of seismic wave propagation is considered polyline, which is more consistent with the actual situation, thus extracted amplitudes of P gathers used in inversion are more accurate. In addition, the reflection coefficient formula in ray parameter domain has higher precision when the incident angle is large. The inversion based on Bayesian theory can improve the stability of the inversion. Test on the actual data shows that the result of ray parameter domain inversion with a Bayesian scheme is more accurate, stable and reliable.
Presentation Date: Thursday, October 20, 2016
Start Time: 11:25:00 AM
Location: 174
Presentation Type: ORAL
