Facies trend modeling based on geobody-based binning of seismic impedance

In this paper, a new approach for building facies trend models from a 3D seismic acoustic impedance volume based on the local analysis of impedance geobodies is proposed. The geobodies (or geoobjects) are defined as connected regions that meet local impedance cut-offs. The idea is to mimic geophysical interpretation by extracting the objects from the 3D seismic volume that have impedance contrast and assign facies probability for each location within area of interest by analyzing local facies well data that penetrates the geoobjects. The workflow/approach for trend calculation implementation is presented in detail and illustrated using analysis of data from the Christina Lake in-situ project located within the Athabasca Oil Sands Region (AOSR), Alberta, Canada.