Discontinuous fluvial sands with highly variable permeabilty patterns pose a significant challenge for further development of mature onshore gas fields in South Australia. To obtain an optimial strategy for further infill drilling a multi-disciplinary reservoir characterization study was undertaken. This study combined all available data (petrophysics, geology, geophysics, and engineering) into a 3D stochastic geo-model before various upscaling methods could be considered for creating a reservoir simulation model. Coarse upscaling methods were used to match macro-scale reservoir characteristics (e.g. the effective permeability in the well's drainage area) while smaller scale heterogeneity (RFT pressure measurements) were matched using permeability predictors that preserved the observed variability from core data.
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