Moving on to Carbonate modeling, we use the Wadi Nisha outcrop study by H. Eltom et al. to model the upper Jubalia and lower Arab-D deposits from the sedimentary logs. The evolution of the carbonate platform deposits is driven by the sea level, which we compute from the lithofacies. The local bathymetry, induced from the lithofacies, constrains the geometry of the platform slope in the upper Jubalia and the lagoon back ramp in the lower Arab-D. The back ramp geometry influences the wave energy on the upper slope, defining local lithology trends. As we see in the image, each layer's boundaries are perfectly honored, providing stratigraphic information for the reservoir model. The computed trends (wave energy, bathymetry, local environment) will constrain the reservoir model's petrophysical properties simulation, introducing process-based realistic heterogeneities. As always, thanks for your support. #geologicalmodeling #forwardstratigraphicmodeling #reservoirmodeling
Doudja CHABANI
1mo
Interesting.
Next shot@Geomodeling | R&D | Software Architect
2moLooking at traditional FSM, the main drivers of the simulation are the model at t0 and the deposition amount as a function of time. These parameters are complex to provide, and sampling iterative methods with significant FSM computational costs are needed to fit the data. Looking at our new method, C-FSM automatically constructs the model at t0, automatically constructs the sea-level curve, and deduces the deposition at each “time” step as a function of the environment/process/lithofacies interval thickness. Therefore, C-FSM is a direct method. Looking at the image above, you will see that the modeling computation time for the entire model is less than 1mn. In addition to the eight wells and their parasequences, the only parameters are the platform slope and the maximum lagoon depth.