Bridging Log to Basin: Integrating Petrophysical Insights into Forward Stratigraphic Modeling

Forward Stratigraphic Modeling (FSM) has evolved as a critical tool in predicting stratigraphic architecture and sediment distributions across geological timescales. While FSM tools like DionisosFlow® are primarily driven by regional sediment supply, accommodation, and transport processes, the integration of high-resolution petrophysical data from wells and cores provides a valuable constraint in calibrating model parameters and validating simulation outputs.

This paper demonstrates a practical workflow for translating petrophysical interpretations — such as sediment properties (i.e. grain size and density), shale volume (Vsh), porosity profiles, electrofacies, and source rock distribution — into meaningful inputs for FSM.

Particular emphasis is given to the application of petrophysical-derived sediment properties in calibrating vertical and lateral facies stacking patterns, porosity evolution, and diagenetic overprints within stratigraphic sequences.

Through the selected case study, the added values of incorporating petrophysical data in bridging the resolution gap between subsurface measurements and basin-scale process simulation are explored. The outcomes highlight how integrated workflows not only improve model fidelity but also strengthen subsurface predictions for reservoir presence and quality in underexplored settings.

This presentation aims to foster stronger collaboration between petrophysicists and geoscientists by demonstrating the strategic importance of petrophysical insights in advancing forward stratigraphic modeling practices.