Assessing structural controls on reservoir performance in different stratigraphic settings
Published:January 01, 2008
J. Tveranger, J. Howell, S. I. Aanonsen, O. Kolbjørnsen, S. L. Semshaug, A. Skorstad, S. Ottesen, 2008. "Assessing structural controls on reservoir performance in different stratigraphic settings", The Future of Geological Modelling in Hydrocarbon Development, A. Robinson, P. Griffiths, J. Price, J. Hegre, A. Muggeridge
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The present study attempts to qualify the impact of tectonic parameters on hydrocarbon production in reservoir models representing four clastic depositional environments. Eleven sectors from existing 3D reservoir models, representing fluvial, tidal, shallow marine and deep marine depositional settings, were re-sampled into a fixed-volume, unfaulted model grid. Each sample was permutated into 73 different faulted model configurations by using predefined combinations of fault patterns, maximum fault-throw, shale gouge ratio and shale smear factor. The resulting 803 models were run in a fluid flow simulator and results statistically analysed to identify changes in fluid flow response caused by changing model...
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The Future of Geological Modelling in Hydrocarbon Development
The 3D geological model is still regarded as one of the newest and most innovative tools for reservoir management purposes. The computer modelling of structures, rock properties and fluid flow in hydrocarbon reservoirs has evolved from a specialist activity to part of the standard desktop toolkit. The application of these techniques has allowed all disciplines of the subsurface team to collaborate in a common workspace. In today’s asset teams, the role of the geological model in hydrocarbon development planning is key and will be for some time ahead.
The challenges that face the geologists and engineers will be to provide more seamless interaction between static and dynamic models. This interaction requires the development of conventional and unconventional modelling algorithms and methodologies in order to provide more risk-assessed scenarios, thus enabling geologists and engineers to better understand and capture inherent uncertainties at each aspect of the geological model’s life.