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Rock physics modelling often contains errors, and finding the origins of such errors can be a starting point to fix them. For this purpose, the concept of error analysis in the form of error crossplots (petrophysical properties versus errors in modeling) is introduced to investigate the available errors. Based on the data pattern in the error crossplots, one is capable of discovering the reasons for errors in modelling. In this regard, an unconsolidated oil sand reservoir’s density and P-wave velocity have been modelled with correct and erroneous petrophysical interpretations to observe the error pattern on different crossplots. A constant bias from the error baseline, for instance, could be related to the wrong rock physics model parameter selection, or a steep slope in the data with no bias could refer to the incorrect petrophysical interpretation.