Impact of Extra Low Frequencies from Broadband Data on Seismic Inversion: A Collection of Case Studies

The biggest challenge in the quantitative inversion of seismic data while using a model based approach is to build an accurate low frequency model. The lack of low frequency content in conventional surface seismic data increases the dependency on the sparse log data, which, in turn increases the uncertainty. Various acquisition and processing techniques are developed to expand the seismic bandwidth. The question is, how much difference does it really make? The present paper shows some case studies to elaborate the advantages of broad band data for successful seismic inversion.