Toni Simo received his M.S. degree and his Ph.D. from the University of Barcelona. His research focuses on carbonate sedimentology, sequence stratigraphy, and basin analysis.

Offshore Nile Delta gas reservoirs are dominated by slope-channel systems of Plio-Pleistocene age. High-quality, three-dimensional seismic imaging has significantly helped in defining the geomorphology and architectures of these channels. Integrating seismic, logs and core data from four wells resulted in understanding of different stages of channel development and reservoir quality. The studied reservoirs that are largely controlled by episodes of transgressive-regressive events resulted in deposition of fine grained sediment and shale. Sienna channel complex consists of unconfined channel system with clearly defined development stages. The stages include amalgamated or stacked channels followed by channel abandonment phases and local flooding events. The depositional pattern continued through the Late Pliocene-Pleistocene. SimSat-P1 and Sim-Sat-P2 reservoirs are characterized by isolated sand bodies, most probably relics of fan depositional setting. The depositional scenario that is largely controlled by successive transgression and flooding events resulted in deposition of interbedded, sheet-like, fine grained sediment and shale.

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The Lower Cretaceous Muddy Formation at the Bell Creek Field, Montana, USA, is characterized by a clastic sequence of mixed lithofacies. An integrated workflow was applied to define the reservoir compartments and distribution of petrophysical properties throughout the central and northern areas of the field. The workflow focused on the heterogeneity of the reservoir flow units, diagenetic complexities, and the associated compartments. The compartments play a considerable role in controlling the connectivity and fluid flow through the reservoir. Descriptions of the reservoir properties were used as inputs to a three-dimensional (3-D) geologic model for history matching and prediction of CO2 flooding. History matching of the primary production of the Muddy Formation helped to improve understanding of the distribution of the rock and fluid properties. The simulation model was then used to forecast future CO2 flooding in the study area. Following CO2 injection, the collected production data were utilized to verify the validity of the model by comparing the production forecast with the actual field results. The simulation model successfully predicted the CO2 flood response, pressure, and production data.