Submarine fan strata are commonly described and interpreted assuming a nested,hierarchical organisation of elements, from beds, to lobe elements, lobes and lobecomplexes. However, describing outcrop and subsurface strata following a particularconceptual method or model is never evidence in itself that the model or methodaccurately reflects the true nature of the strata. To develop better understanding of andmethods for robust hierarchy identification and measurement we developed twometrics, a clustering strength metric that measures how much clustering is present inthe spatial distribution of beds on a submarine fan, and a hierarchy step metric thatindicates how many clustered hierarchical elements are present in the bed spatialdistribution. Both metrics are applied to two quantitative fan models. The first is a verysimple geometric model with 10 realisations ranging from a perfectly clusteredhierarchy to a indistinguishable-from-random arrangement of beds. The second model,Lobyte3D, is a reduced-complexity process model which uses a steepest descent flowrouting algorithm, combined with a simple but physically reasonable representation offlow velocity, erosion, transport and deposition thresholds, to generate detailed 3Drepresentations of submarine fan strata. Application of the cluster strength andhierarchy step metric to the simpler model demonstrates how the metrics usefullycharacterise how much order and hierarchy is present in the fan strata. Application tofour Lobyte3D models with increasingly complex basin-floor topography shows noevidence for true hierarchy, despite clear self-organisation of the model strata intolobes, suggesting that either Lobyte3D is missing key as yet unidentified processesresponsible for producing hierarchy, or that interpretations of hierarchy are not realistic.