Computational stratigraphy provides a method to model depositional and stratigraphic processes on a grain size scale while honoring physics-based flow dynamics. Using rock-physics equations and assumptions, these computational stratigraphy models can be converted to rock properties such as velocity and density. The rock-physics properties are in turn used to generate synthetic seismic data, which allow studying the seismic expression of stratigraphic features on different scales. These models and their application to existing hydrocarbon reservoirs can provide new insight into connectivity and other characteristics of subsurface reservoirs that are not provided by traditional reservoir-modeling approaches.

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