Low frequencies missing from conventional seismic data are conventionally obtained from other geophysical information sources, such as well log data, for estimating absolute rock properties, which results in biased inversion results for complex heterogeneous geological targets or plays with sparse well log data, such as marine or deep stratum. Broadband seismic data lead to new opportunities to estimate the low frequency of elastic parameters without well log data. A novel AVO inversion approach with a Bayesian inference for broadband seismic data is proposed in this study. The low frequency components of the elastic parameters are initially estimated with the proposed broadband AVO inversion approach with a Bayesian inference in the complex frequency domain because seismic inversion in the complex frequency domain is able to recover the long-wavelength structures of the elastic model. Furthermore, with those low frequency components as initial models and constraints, the conventional AVO inversion with a Bayesian inference in the time domain is further implemented to estimate the final absolute elastic parameters. Synthetic and real data examples demonstrate that the proposed AVO inversion in the complex frequency domain is able to estimate the low frequency components of elastic parameters well.
Presentation Date: Tuesday, September 26, 2017
Start Time: 10:10 AM
Location: Exhibit Hall C/D
Presentation Type: POSTER
