Object-Based Modeling with Dense Well Data
Although object models are popular with geologists due to their ability to control the geometries that are produced, they tend to have convergence issues when conditioning on complex well patterns. In this paper, we present a new well conditioning algorithm that utilizes more local data when generating channels. We show that this algorithm performs better than the currently commercially available state-of-the-art object model and thus makes object models viable in modern mature field well settings.
KeywordsObject Model Sampling Algorithm Vertical Well Gaussian Field Channel Edge
- Boisvert J, Pyrcz M (2014) Conditioning 3D object based models to a large number of wells: a channel example. Mathematics of planet earth: proceedings of the 15th annual conference of IAMG. Springer, p 575–579Google Scholar
- Viseur S, Shtuka A, Mallet J (1998) New fast, stochastic, boolean simulation of fluvial deposits. Proceedings, 1998 SPE ATCE, New Orleans, USA. SPE 49281Google Scholar