Probabilistic Inversion for Stratigraphic Interpretation in a Poorly Resolved Unconventional Reservoir
Probabilistic inversion methods give a framework for inversion that allows us to encode stratigraphic sequencing into the inverse problem. This framework enables the results of the inversion to not only provide an understanding of the distribution of very subtle changes in facies type but also a probabilistic understanding of the transition between stratigraphic sub-units. In this study, we demonstrate how applying Direct Probabilistic Inversion (DPI) to a dataset in the Montney yields stratigraphic interpretation of key units that were previously unable to be interpreted on either conventional stacked seismic data or deterministic inversion results.