Object models are widely used to model the distribution of facies in a reservoir. Several computer programs exist for modelling fluvial channels or more general facies objects. This paper focuses on a marked point model with objects that are able to orient locally according to a vector field. In this way, objects with locally varying curvature are created. With this kind of objects it is possible to model complex depositional basins, that are not easily modelled with conventional methods. The new object type is called Backbone objects. The objects have a piecewise linear centerline and are able to follow the direction of a three-dimensional vector field locally in lateral and vertical direction. How well the objects follow the vector field is determined by three parameters. Use of different coordinate systems and mapping between the systems make it possible to generate Gaussian random fields that follow the shape and direction of the objects. The Gaussian fields can be used to model petrophysical variables, which is important for fluid flow modelling.
Key Wordsfacies modelling vector field Backbone objects local orientation turbidites
Unable to display preview. Download preview PDF.
- 2.Hauge, R., Syversveen, A., and MacDonald, A., 2003, Modeling facies bodies and petrophysical trends in turbidite reservoirs: in 2003 Annual Technical Conference and Exhibition: Society of Petroleum Engineers, Denver, CO, SPE paper no. 84053, 7 p on CD.Google Scholar
- 4.Jones, T., 1999, Controlling body orientation in object-based modeling: Flowpaths and vector fields, in Lippard, S. Næss, A., and Sinding-Larsen, R., eds., Proceedings of the 5th annual conference of the International Association for Mathematical Geology, Vol. 2: Tapir, Tronhdeim, Norway, p. 633–638.Google Scholar
- 7.Lia, O., Tjelmeland, H., and Kjellesvik, L., 1996, Modelling of facies architecture by marked point models: in Baafi, E., and Schofield, N., eds., Geostatistics Wollongong '96, vol. 1: Kluwer Academic, Dordrecht, The Netherlands, p. 386–397.Google Scholar
- 8.Patterson, P., Jones, T., Donofrio, C., Donovan, A., and Ottmann, J., 2002, Geologic modelling of external and internal reservoir architecture of fluvial depositional systems: in Armstrong, M., Bettini, C., Champigny, N., Galli, A., and Remacre, A., eds., Geostatistics Rio 2000: Kluwer Academic, Dordrecht, The Netherlands, p. 41–52.Google Scholar
- 9.Stow, D., Reading, H., and Collinson, J., 1996, Deep seas: in Reading, H., ed., Sedimentary environments, processes, facies and stratigraphy: Blackwell Sciences, Oxford, p. 395–453.Google Scholar
- 11.Tarbuck, E., and Lutgens, F., 1990, The Earth: Macmillian, New York, 651 p.Google Scholar
- 12.Viseur, S., Shtuka, A., and Mallet, J., 1998, New fast, stochastic, boolean simulation of fluvial deposits: in 1998 Annual Technical Conference and Exhibition: Society of Petroleum Engineers, New Orleans, LA, SPE paper no. 49281, p. 697–709.Google Scholar
- 13.Yang, K., Yarus, J., and Catanese, W., 1999, Characterization and 3-D modeling of turbidite reservoir: A case study in miocene slope deposits, Main Pass Area, offshore Gulf Coast of Mexico: in Gulf Coast Association of Geological Societies Transactions, v. XLVIIII, p. 54–61.Google Scholar