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. https://doi.org/10.1016/j.cageo.2009.10.001
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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 |
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Digital Object Identifier (DOI): | https://doi.org/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 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/9446 |
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