Impedance joint inversion of borehole and surface seismic data

The impedance inversion for single surface seismic data is limited by the bandwidth of the seismic data and subject to a large degree of non-uniqueness. Joint inversion with other high frequency geophysical data has great potential to improve the resolution and reduce the ambiguity of the inversion result. The borehole seismic data have the advantages of less attenuation, higher resolution, wider frequency bandwidth and being closer to the reservoir target than the surface seismic data, which is valuable to improve the surface seismic inversion. We built an impedance joint inversion workflow based on the Bayes theorem. The borehole seismic and surface seismic data are integrated together with the likelihood function and the sparse priori distribution of the reflectivity is designed in accordance with the field logging data characteristic. Two practical cases of the impedance joint inversion with the borehole seismic data and the surface seismic data were presented. It is obvious that the impedance joint inversion method provides a substantial improvement with respect to the constrained sparse spike inversion result. Consequently, this joint inversion is a promising technology for reservoir characterization.