3D stratigraphic modelling of the syn-rift and sag deposits in the Campos basin (Brazil): implication for its structural evolution
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1 Renewable energies Eco-friendly production Innovative transport Eco-efficient processes Sustainable resources TS5-1. Numerical & analogue modelling of basin fills 3D stratigraphic modelling of the syn-rift and sag deposits in the Campos basin (Brazil): implication for its structural evolution ISC 2010 MA.Richardeau (IFP Energies nouvelles, Rennes 1 University) S.Rohais (IFP Energies nouvelles) C.Robin (Rennes 1 University) D.Granjeon (IFP Energies nouvelles) S. ROHAIS IFP Energies nouvelles ISC Campos Basin Modelling
2 Scientific setting Exploration in rift system with huge discovery (South Atlantic) Few data, basin scale, exploration phase modified from Assine et al. (2008), Gamboa et al. (2008), Gomes et al. (2009) => Stratigraphic modelling 2
3 Knowledge and background Stratigraphic modelling (DIONISOS) 5 km 5 km L = 100 km, dx = 250 m T = 23.5 My, dt = 0.5 My 3 Alzaga-Ruiz et al, 2008, Granjeon, 2009 => Look forward the best structural scenario resulting from the inversion of the stratigraphic record (timing, fault location...)
4 Objectives To develop and carry out a workflow from 3D model construction to stratigraphic modelling in a well- documented basin => To increase our confidence in the range of the input parameter for stratigraphic/restoration modelling (production rate, subsidence, structural scenario...) Study case: Rift&Sag from the Campos Basin Recent discovery (2009) by Anadarko, Devon Energy Well-known structural pattern Lot of published data (seismic, maps, well) 4
5 Methodology and workflow 1. Bibliographic review 2. GIS referencing (well, maps...) 3. Stratigraphic architecture 4. Surface model 5. Input parameters calibration 6. Stratigraphic modelling / Results optimization 7. Feedback and Discussion 5
6 Campos Basin: Database for the Rift&Sag deposits 6 44 wells + markers (11) 4 seismic lines 24 maps (isobath, isopach, depositional environments)
7 Campos Basin: Synthetic cross-section Continental / Transitional / Marine megasequences Focus on Rift&Sag phases ( Ma) Cainelli & Mohriak (1998) 7
8 Problematic: Timing and deformation dynamics Rift&Sag Ma Rangel & Carminatti (2000) No time gap Time gap ~5 Ma Winter et al. (2007) 8
9 Problematic: Timing and deformation dynamics Rift&Sag Ma Reading (1996) Out of range rate 9 Winter et al. (2007) 2400 m / 2 Myr = 1.2m/ky
10 Question: Dynamics of the sag phase To test the chronostratigraphic chart from Rangel & Carminatti (2000) To test the chronostratigraphic chart from Winter et al. (2007) => Discussion in term of subsidence rate, production rate, sediment supply To propose an "optimal model" with the best tuned input parameters 10
11 Tool: 3D stratigraphic modelling: DIONISOS Parameters 3D Geological model DIONISOS Diffusion law Stratigraphic modelling Q i = K ϕ i eau Time: ~ 1s My - 100s My Space : ~ 1s km - 100s km S 11
12 3D geological model: Input parameter calibration Selection of the key information 11 markers (Syn-rift base, top A, top B, top C, top D, top E, top F, top G, top H, top I, top J-evaporite) Thickness + bathymetry maps = Accommodation First control on the subsidence history of the basin "Facies" distribution Thickness Bathymetry 12
13 3D stratigraphic modelling: Results optimization Well-to to-well comparison Analysis of 6 wells (thickness, facies) Large scale architecture comparison Analysis of 4 sections Sub-surface correlation modelised well using DIONISOS y = 0,9747x - 30,303 R 2 = 0, well (3-RJS-73B) Dionisos? 13
14 3D stratigraphic modelling: DIONISOS N S 14 Cell: 2x2km Time step: 0.25 Ma Vertical Exaggeration x 50 Full 3D bloc informed in lithology / depositional environments Analysis of the resulting carbonate production rate, sediment supply, accommodation...
15 3D stratigraphic modelling: Test the scenario & optimization Rangel & Carminatti (2000) 15
16 3D stratigraphic modelling: Test the scenario & optimization Winter et al. (2007) Time gap ~5 Ma 16
17 3D stratigraphic modelling: Test the scenario & optimization "Optimum model" (this work) Time gap ~1 Ma 17
18 3D stratigraphic modelling: Dynamic of the basin 18 Cell: 2x2km Time step: 0.25 Ma Vertical Exaggeration x Ma Rift initiation Alluvial fan to fluviolacustrine systems
19 3D stratigraphic modelling: Dynamic of the basin Cell: 2x2km Time step: 0.25 Ma Ma Sag phase Main Sag Unc. Progressive tilting to the basin Vertical Exaggeration x 50
20 3D stratigraphic modelling: Dynamic of the basin Cell: 2x2km Time step: 0.25 Ma Ma End of the Sag phase Evaporate Vertical Exaggeration x 50
21 Conclusion Stratigraphic modelling used for testing several structural scenario and basin evolution Evidence for inconstancies in subsidence rate, production rate => New timing and dynamics of the Campos Basin resulting in a new chronostratigraphic chart To be tested with new data from the deep offshore (recent discoveries by Petrobras, Anadarko and Devon Energy, Dec. 2009) 21
22 Recommendation and perspectives Stratigraphic modelling using a well-constrained / consistent structural scenario based on 3D volumetric restoration (Kine3D, vertical + horizontal deformation) To include the eastern side of the rift system (Africa) To apply tectonic scenario & production rate in a less constrained basin (e.g. Santos Basin) 22
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