Geophysical methods, such as seismic and electromagnetic (EM), provide valuable information regarding the physical properties of reservoirs for characterization and monitoring. Seismic methods utilise the elastic structure of the earth [20], while EM methods explore the electrical resistivity [21; 22]. At a fixed salinity, the electrical resistivity of a fluid filling rock pores is inversely proportional to its temperature [11; 23]. Therefore, the electrical resistivity of the TU Delft campus reservoir can be expected to increase at a percentage as the temperature decreases. EM techniques, such as electrical resistivity tomography (ERT), magnetotellurics (MT), and the CSEM, are suitable for mapping resistivity changes as an indicator of the cold plume. The length of the ERT acquisition profile is normally several times the investigated depth [24]. To monitor the deep TU Delft campus reservoir, ERT surveys require an acquisition profile many kilometres deep, which is not feasible. MT can achieve a great depth of investigation by measuring the sub-surface response to naturally occurring EM fields [25]; however, MT measurements suffer from a low signal-to-noise ratio (SNR) in urban environments [26; 27], and may not be able to detect small resistivity changes due to variations in MT fields [28]. The CSEM relies on artificial sources of EM fields to investigate the electrical resistivity of the sub-surface to a depth of a few kilometres [29; 30]. CSEM fields suffer from less variation due to the high repeatability of the source fields, and are characterised by high SNR due to the high source power [31]. Overall, we purpose CSEM to monitor the resistivity changes in the TU Delft campus geothermal reservoir. Several configurations can be used to collect CSEM monitoring data, such as surface-to-surface, surface-to-borehole, borehole-to-surface, and/or borehole-to-borehole. The surface-to-surface configuration allows for dense data coverage at relatively low cost. The TU Delft campus reservoir lies at such a depth that CSEM fields carrying information about the resistivity change will be below the noise floor when collecting surface-based measurements. Furthermore, deploying the receivers at the surface makes them susceptible to high levels of both natural and anthropogenic noise. In surface-to-borehole and borehole-to-surface configurations, electric fields travel relatively short distances and can be measured with amplitudes above the noise floor. While the surface-to-borehole configuration is theoretically equivalent to the borehole-to-surface, practical applications indicate that the surface-to-borehole configuration offers a relatively higher SNR for two reasons: (1) The ability to achieve large dipole moments with surface sources, and (2) the borehole receivers are located away from EM noise near the surface [32; 33]. The borehole-to-borehole CSEM requires a borehole source, has a limited dipole moment, and only provides two-dimensional (2D) inter-well resistivity information. In this paper, we investigate the feasibility of CSEM monitoring for 4-8 \(\Omega\cdot\)m resistivity changes in the deep low-enthalpy reservoir model of the TU Delft campus geothermal project. Considering the reasons mentioned above, we chose to use a surface-to-borehole configuration to determine time-lapse electric fields (i.e., fields with temporal intervals). Monitoring this low-enthalpy reservoir is a process that will be carried out over several decades, as the resistivity change is expected to progress laterally. We explore the potential of the CSEM technique to monitor various lateral resistivity changes inside the TU Delft campus low-enthalpy reservoir. We also test the robustness of the CSEM monitoring of the reservoir against undesired effects, which can distort CSEM data when scattered by the reservoir. These effects include multiplicative random noise, survey repeatability errors, near-surface changes, and the influence of a steel-cased borehole.