An ongoing challenge in reservoir modelling workflows is to integrate multi-scale heterogeneity into the models for the purpose of evaluating full-field reservoir performance. We present a modelling and upscaling approach to integrate reservoir data at multiple grid scales. The approach focuses on generating 3D sub-seismic-scale (< 10 m) stratigraphic heterogeneity models. The workflow begins with a conceptual interpretation of reservoir geology based on core and outcrop observations, and seismic interpretation. A high-resolution grid is generated based on sedimentary processes, and conditioned by a seismic interpretation framework grid. The grid is then populated with petrophysical data and upscaled by numerical simulation methods. The upscaled models reflect the effective petrophysical properties of the rocks and can be calibrated to well logs and seismic data. Using the same approach for simulating cm-scale bedding structures, we have developed algorithms to generate detailed geometrical grids representing internal stratification and large-scale bedding in point bars, tidal bars, and lobes. Direct upscaling of reservoir properties from sub-seismic stratigraphic models allows geoscientists to evaluate flow properties from multiple geological scenarios. By considering multi-scale heterogeneity, reservoir asset teams can effectively integrate reservoir data and improve the prediction of reserve volumes and production profiles.


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