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Didier Granjeon1, Kevin Church2, Celine Lavaure3, Lutz Seiffert4, Tristan Euzen1, Previous HitCarolineTop Le Turdu5, Patrick Henriquel6, Howard Johnson7
(1) IFP, Paris, France
(2) Imperial College, London, United Kingdom
(3) Elf E&P France, Pau
(4) Elf Exploration UK, London, United Kingdom
(5) Elf Norway, Stavanger, Norway
(6) Elf E&P France, Pau, France
(7) Imperial College, Royal School of Mines, London, England

Abstract: Application of 3D stratigraphic forward modelling to improve reservoir prediction - Middle Jurassic Brent Group, North Sea

The depositional and tectonostratigraphic evolution of the Middle Jurassic Brent Group of the northern North Sea has been modelled using DIONISOS, a 3D stratigraphic forward modelling program. Following successful regional-scale modelling of the Brent delta system throughout the North Viking Graben, DIONISOS has been applied to a high resolution stratigraphic analysis of the Brent Group in two field/prospect-scale areas: (1) the Greater Alwyn area in the East Shetland Basin, and (2) the Visund field on the Tampen Spur.

The key steps in model development include the following: (1) depositional models for the two prospects were developed within a high-resolution sequence stratigraphic framework; (2) depositional models and structural elements were validated using a 3D modelling tool; and (3) the resulting overall geological model was used to derive the following key modelling parameters: accommodation space, sediment supply (direction and volume), depositional slopes, subsidence and relative sea level changes. Sensitivity tests were carried out in order to evaluate the relative influence of each parameter on the simulation results, which were further analysed for their geological credibility. Specific sedimentological and structural uncertainties were addressed, including the influence of tilted fault block evolution on sedimentation and reservoir distribution.

The results demonstrate the value of modelling the three-dimensional geological evolution of sub-regional areas, based on the simplified quantification of a range of depositional and tectonic processes. The model results enable uncertainty analysis concerning field- and prospect-scale geological evolution and the impact of these uncertainties on reservoir prediction.

AAPG Search and Discovery Article #90914©2000 AAPG Annual Convention, New Orleans, Louisiana