During the past ten years, a marine controlled source electromagnetic(CSEM) method has been developed rapidly as a technology for hydrocarbon exploration. For shallow water environments, two CSEM data acquisition systems: Seabed Logging(SBL) and towed streamer electromagnetics(TSEM) have been developed in recent years. The purpose is to compare the performance of the SBL and TSEM systems at different water depths. Three different methods for the comparison are presented. The first method is a quick one dimensional sensitivity modelling. As a result, the sensitivity of marine CSEM data increases with water depth for the SBL system. Further, the sensitivity decreases with the increasing water depth for the TSEM system. The two other methods use two dimensional synthetic data from a simple 2-D isotropic model. The second method is a reservoir sensitivity index(RSI) method which has been developed to provide a quick comparison of the two systems. The RSI is calculated as the amplitude of the scattered field dividing by data uncertainty. From the calculations, it is found that with the increasing water depth RSI increases for the SBL system, while it decreases for the TSEM system. The third method uses Occam’s inversion, and applies an anomaly transverse resistance(ATR) ratio for evaluating the resulting resistivity image. In shallow water environments, the resolution of the CSEM inversion results is good for both the SBL and TSEM systems. In deep water environments, the resolution of the CSEM inversion is better for the SBL system than for the TSEM system. The ATR ratios of the resistivity images show the similar conclusion. The SBL data acquisition system has an advantage in deep water environments. The TSEM system, on the other hand, is preferable for the shallow water environments. For shallow water environments, two CSEM data acquisition systems: Seabed Logging (SBL) and towed streamer electromagnetics (TSEM) have The developed is to compare the performance of the SBL and TSEM systems at different water depths. The first method is a quick one dimensional sensitivity modeling. As a result, the sensitivity The two method uses two dimensional synthetic data from a simple 2-D isotropic model. The second method is a reservoir sensitivity index (RSI) method which has been developed to provide a quick comparison of the two systems. The RSI is calculated as the amplitude of t he scattered field dividing by data uncertainty. From the calculations, it is found that with the increasing water depth RSI increases for the SBL system, while it decreases for the TSEM system. The third method uses Occam’s inversion, and applies an anomaly transverse resistance ( In shallow water environments, the resolution of the CSEM inversion results is good for both the SBL and TSEM systems. In deep water environments, the resolution of the CSEM inversion is better for the SBL system than The TSM system, on the other hand, is preferred for the shallow water environments. The SBR data acquisition system has an advantage in deep water environments.