nerc.ac.uk

Combining numercial and cognitive 3D modelling approaches in order to determine the structure of the Chalk in the London Basin

Royse, Katherine R.. 2010 Combining numercial and cognitive 3D modelling approaches in order to determine the structure of the Chalk in the London Basin. Computers and Geosciences, 36 (4). 500-511. 10.1016/j.cageo.2009.10.001

Before downloading, please read NORA policies.
[img] Text
Combining_geostatistical_and_cognitive_3D_modelling_approachesv3.pdf

Download (61kB)

Abstract/Summary

In order to determine the structure of the Chalk in the London Basin, a combined cognitive and numerical approach to model construction was developed. A major difficultly in elucidating the structure of the Chalk in the London Basin is that the Chalk is largely unexposed. The project had to rely on subsurface data such as boreholes and site investigation reports. Although a high density of data was available problems with the distribution of data and its quality meant that, an approach based on a numerical interpolation between data points could not be used in this case. Therefore a methodology was developed that enabled the modeller to pick out areas of possible faulting and to achieve a geologically reasonable solution even in areas where the data was sparse or uncertain. By using this combined approach, the resultant 3D model for the London Basin was more consistent with current geological observations and understanding. In essence, the methodology proposed here decreased the disparity between the digital geological model and current geological Knowledge. Furthermore, the analysis and interpretation of this model resulted in an improved understanding of how the London Basin evolved during the Cretaceous period.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1016/j.cageo.2009.10.001
Programmes: BGS Programmes 2010 > Information and Knowledge Exchange (Information Products)
ISSN: 0098-3004
Additional Keywords: Chalk, London Basin, Faulting, 3D modelling
NORA Subject Terms: Computer Science
Earth Sciences
Date made live: 10 Mar 2010 16:33
URI: http://nora.nerc.ac.uk/id/eprint/9446

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...