Abstract - Deep-water lobe deposits are arranged hierarchically and can be characterized by high net:gross ratios but poor sand
connectivity due to thin, but laterally extensive, shale layers. This heterogeneity makes them difficult to represent in standard
full-field object-based models, since the sands in an object-based model are not stacked compensationally and become
connected at a low net:gross ratio. The compression algorithm allows the generation of low-connectivity object-based models at
high net:gross ratios, by including the net:gross and amalgamation ratios as independent input parameters. Object-based
modelling constrained by the compression algorithm has been included in a recursive workflow, permitting the generation of
realistic models of hierarchical lobe deposits. Representative dimensional and stacking parameters collected at four different
hierarchical levels have been used to constrain a 250 m-thick, 14 km2 model that includes hierarchical elements ranging from
20 cm-thick sand beds to more than 30 m-thick lobe complexes. Sand beds and the fine-grained units are represented explicitly
in the model, and the characteristic facies associations often used to parameterize lobe deposits are emergent from the modelling
process. The model is subsequently resampled without loss of accuracy for flow simulation, and results show clearly the
influence of the hierarchical heterogeneity on drainage and sweep efficiency during a water-flood simulation.
Petroleum Geoscience, 26, 545-567, 2020. https://doi.org/10.1144/petgeo2018-078