The Dutch Rhine-Meuse delta in 3D: A validation of model results

Autor: Maljers, D., Stafleu, J., Busschers, F., Gunnink, J.L.
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Zdroj: 14th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2010, 29 August 2010 through 2 September 2010, Budapest
Popis: The Geological Survey of the Netherlands aims at building a 3D geological property model of the upper 30 meters of the Dutch subsurface. This model, called GeoTOP, provides a basis for answering subsurface related questions on, amongst others, sand and gravel resources. Modelling is carried out per province using a core-database containing several hundreds of thousands of core-descriptions, the majority of which reach down to around 10 to 15m, and a context of geological maps. This study focuses on the model of the province of Zuid-Holland where major cities like Rotterdam and The Hague are situated and the Rivers Rhine and Meuse enter the North Sea. A stepwise procedure consisting of automated database queries, 2D modelling of stratigraphic surfaces and 3D property modelling, resulted in a model of 50 million volume cells, each measuring 100 by 100 meters in horizontal directions and 0.5 meters in the vertical direction, every cell having estimates of lithology (sand, clay, peat) and sand-grain size class data. Running simulations, using the Sequential Indicator Simulation algorithm, resulted in information on the probabilities of the aforementioned properties. In the study presented here we focussed on two subjects. First we compared the above described GeoTOP model with two "quick and dirty" models constructed several years ago. The most important and visible difference between those models is the geological framework model used, which has more detail in GeoTOP. By comparing the two, we show the effect of detailed modelling on the cumulative exploitable reserves of aggregates. Secondly we show the effect of data density on GeoTOP modelling results. Using GeoTOP of Zuid-Holland gives us a opportunity to study the effect on the results of the amount of data used. We have therefore carried out a validation using subsequently less borehole information to estimate properties on a constant validation set. Organisations: Golder Magyarorszag ZRt.; Mecsekerc Zrt.; MOL
Databáze: OpenAIRE