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The geological heterogeneity of key CO2 injection targets in the UKCS is exhibited at various scales. However, due to the size and spatial extent of saline aquifers, usually only the regional scale is modelled to investigate the spatial distribution of CO2 over time. Time-lapse seismic is a well-established technology used to monitor CCS operations. This study focuses on the different types of small-scale heterogeneity and translating it onto fine-scale 2D reservoir models. We generate multiple heterogeneity scenarios using available literature, build 2D reservoir models based on them, and flow CO2 across the whole length of the reservoir to simulate progression at the front of the plume. We then utilise Sim2Seis (an ETLP software) to obtain the 4D signal stemming from injection into these heterogeneous reservoirs. As CO2 is highly mobile, we find that its flow pattern may be hard to predict when faced with heterogeneity. The CO2 flow pattern differs based on the proximity to the injection site and inherent heterogeneity of the reservoir. The resulting 4D signal is strong and saturation-driven, and the effect of heterogeneity is visible.