--> Abstract: *3D Stratigraphic Forward Modelling for the Prediction of Carbonate Platform Architectures: Evaluation of Stratigraphic Trap Potential in Middle East Mesozoic Carbonate Sequences, by Jean Borgomano, Cyprien Lanteaume, Olivier Ridet, Mathieu Rousseau, and Nadège Vilasi-Marmier, #90188 (2014)

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*3D Stratigraphic Forward Modelling for the Prediction of Carbonate Platform Architectures: Evaluation of Stratigraphic Trap Potential in Middle East Mesozoic Carbonate Sequences

Jean Borgomano1, Cyprien Lanteaume1,2, Olivier Ridet1, Mathieu Rousseau1, and Nadège Vilasi-Marmier1

1Pau, France
2Université Aix-Marseille, France

Abstract

Stratigraphic forward modeling allows the realization at basin scale of 3D deterministic carbonate facies models by simulating in time and space sedimentologic-stratigraphic processes from initial conditions (amongst others: Bosence & Waltham, 1990; Kendall et al., 1991; Bosscher & Schlager, 1992; Granjeon & Joseph, 1999; Warrlich et al., 2002; Burgess & Wright, 2003. Burgess et al. 2006; Schlager & Warrlich, 2008; Seard & Borgomano, 2013. This computer stratigraphic simulation method (implemented with the IFPEN Dionisos software) requires input parameters characterizing the modeled basin and its evolution through time: initial 3D sea bottom topography (altimetry and bathymetry), initial sea level, 3D subsidence evolution, eustatic sea level history, carbonate production and erosion rates and water driven transport coefficients. An important aspect of this method is that the input parameters, and the subsequent models, are dependent upon local and global factors (climate, geodynamic, carbonate factories,…) obtained respectively from subsurface (seismic & wells) and outcrop data in the area of interest and from global knowledge. Modeled processes, such as carbonate production, can be calibrated by analogue, ancient or modern carbonate systems. Ideally, this stratigraphic forward modeling is part of an iterative workflow implying the comparison between real and synthetic seismic obtained from the stratigraphic model. In the context of subsurface carbonate prediction, this approach improves significantly the coherency between numerical models, susbsurface data and geological concepts.

 

AAPG Search and Discovery Article #90188 ©GEO-2014, 11th Middle East Geosciences Conference and Exhibition, 10-12 March 2014, Manama, Bahrain