Optimized Sequence of Single-domain and Joint Inversions Using Quantitative Integration Systems (QUIS)

In this paper we discuss a “systemic approach” for integrating multidisciplinary geophysical data. We apply a Bayesian inversion algorithm to perform a sequence of single domain and joint inversions of seismic and electromagnetic data. We show how this integration workflow allows accurate estimations of porosity and fluid saturation. We extend this approach also to gravity data combining cooperative modeling, single domain inversion and joint inversion for integrating real multidisciplinary data sets in the Barents Sea.