3D Stratigraphic models: representation and stochastic modelling

Abstract : Several representations have been proposed to model the 3D architecture and petrophysical properties of stratigraphic formations from subsurface data. All methods aim at finding a consistent way of describing heterogeneities by defining a curvilinear coordinate system conform to the sedimentary layers. Classically, this coordinate system is implicitly defined by a grid conforming to the strata and to the faults; alternatively, the Geo-chronological model (Geochron) explicitly defines this coordinate system, without using such a grid. This paper compares the grid-based stratigraphic modeling methods with the Geochron method. Their ability to represent complex fault networks is discussed, proving the higher representative power of the Geochron model. Because the visualization of uncertainty calls for generating several possible images of the subsurface, we also discuss grid perturbation methods, and introduce a new method to stochastically perturb a Geochron model.
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Guillaume Caumon, Jean-Laurent Mallet. 3D Stratigraphic models: representation and stochastic modelling. IAMG 2006, Int. Assoc. for Mathematical Geology XIth International Congress, 2006, Liège, Belgium. ⟨hal-01795303⟩

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