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Geological Society, London, Special Publications; 2008; v. 309; p. 87-98;
DOI: 10.1144/SP309.7
© 2008 Geological Society of London

Articles

Calibration and validation of reservoir models: the importance of high resolution, quantitative outcrop analogues

Richard R. Jones1,2, Kenneth J. W. Mccaffrey3, Jonathan Imber3, Ruth Wightman3, Steven A. F. Smith3, Robert E. Holdsworth3, Phillip Clegg3,4, Nicola De Paola3, David Healy3,5 & Robert W. Wilson3,6

1 Geospatial Research Ltd., Dept. of Earth Sciences, University of Durham, DH1 3LE, UK (e-mail: richard{at}geospatial-research.co.uk)
2 e-Science Research Institute, University of Durham, DH1 3LE, UK
3 Reactivation Research Group, Dept. of Earth Sciences, University of Durham, DH1 3LE, UK
4 Current address: GeoPressure Technology Ltd., Mountjoy Research Centre, Stockton Road, Durham, DH1 3UZ, UK
5 Current address: Institute of Geoscience Research, Curtin University of Technology, GPO Box U1987, Perth WA6845, Australia
6 Current address: BP, Chertsey Road, Sunbury-on-Thames, Middlesex, TW16 7BP, UK

Rapidly developing methods of digital acquisition, visualization and analysis allow highly detailed outcrop models to be constructed, and used as analogues to provide quantitative information about sedimentological and structural architectures from reservoir to subseismic scales of observation. Terrestrial laser-scanning (lidar) and high precision Real-Time Kinematic GPS are key survey technologies for data acquisition. 3D visualization facilities are used when analysing the outcrop data. Analysis of laser-scan data involves picking of the point-cloud to derive interpolated stratigraphic and structural surfaces. The resultant data can be used as input for object-based models, or can be cellularized and upscaled for use in grid-based reservoir modelling. Outcrop data can also be used to calibrate numerical models of geological processes such as the development and growth of folds, and the initiation and propagation of fractures.