Stochastic Modeling of the Rhine-Meuse Delta using Mutiple-point Geostatistics

An extensive data set on the Rhine-Meuse delta in the Netherlands is available. It consists of approximately 200,000 boreholes and fully reconstructed channel systems for the past 10,000 years. In a study area the reconstructed channel systems are treated as ground truth for checking the simulation results from the multiple-point stochastic modeling algorithm snesim. Two generations of channel systems with distinct morphological characteristics can be identified in the study area. These are modeled jointly, then separately. Joint simulation gives poor results because the individual characteristics of each channel system are lost when taken together. When simulated separately, the attributes of the two different channels systems are better reproduced, the simulations are then combined by cookie-cut. Key words: Multiple-point statistics, Hierarchical simulation, Delta