3D Stratigraphic models: representation and stochastic modelling - Université de Lorraine Access content directly
Conference Papers Year : 2006

3D Stratigraphic models: representation and stochastic modelling


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.
Fichier principal
Vignette du fichier
IAMG06_S14_08.pdf (1.12 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01795303 , version 1 (18-05-2018)


  • HAL Id : hal-01795303 , version 1


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⟩
137 View
112 Download


Gmail Facebook X LinkedIn More