The accurate prediction of bottomhole conditions in wellbore modelling is critical for the safe and efficient design of subsurface systems involving fluid injection or production. While current wellbore models have been extensively validated using oil and gas operational data, their applicability to pure CO2, especially under the dynamic conditions present in Carbon Capture and Storage (CCS) projects as well as CO2-based geothermal energy extraction, remains uncertain. As CCS deployment accelerates globally, it becomes increasingly important to ensure that these models can accurately represent the rapidly changing thermophysical properties of CO2 during operation. To address this knowledge gap, this work compares measured field data from the Aquistore CO2 injection well with software-predicted bottomhole conditions.