Paper Summary
We present a data integration study for reservoir characterization, resulting in estimates of hydrocarbon saturation in place within a reservoir. The limitations of using only seismic data for detailed reservoir characterization are well recognized. Seismic data are well suited to resolving structure and some rock properties, notably porosity, but attempts to map fluids from seismic data may be misleading due to the ambiguity between fluid and lithology effects. It is well known that CSEM data are sensitive to the presence of hydrocarbons, but the diffusive energy propagation results in low resolution images. Thus, a careful combination of both types of data helps to overcome their individual weaknesses. In this paper, we outline with a dataset example how the CSEM and seismic data can be integrated together with limited rock physical knowledge in the prospect area to estimate the total volume of hydrocarbon in place.