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Geological Prior Information

Product Code: SP239
Series: GSL Special Publications - print copy
Author/Editor: Edited by A. Curtis and R. Wood
Publication Date: 12 January 2005
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Special Publication 239

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When faced with a scientific problem, researchers usually draw on both existing pertinent knowledge as well as collecting new data in order to construct an answer. Geological prior information is the term used to describe all previously existing knowledge of a geological nature. Examples of such information include field interpretations, process models, expert judgments and common assumptions, together with the uncertainties associated with each.

Geological prior information represents a new and emerging field within the geosciences, where methods and applications are still in their infancy. This volume presents many novel methods that seek to harness prior information in the most effective way in order to solve practical and theoretical geoscientific problems. As such, methods in this volume are concerned both with the field of geology per se, as well as its interface with the wider practical and scientific community.


Cover image: Stromatolites growing in the intertidal waters at Carbla point, Hamelin Pool, Western Australia. These are formed by cyanobacteria that trap and precipitate carbonate. It was first presumed that all ancient stromatolites grew in the intertidal zone. Subsequent work showed this to be erroneous: a classic example of the misuse of geological prior information. Photograph by Rachel Wood.

Type: Book
Ten Digit ISBN: 1-86239-171-8
Thirteen Digit ISBN: 978-1-86239-171-0
Publisher: GSL
Binding: Hardback
Pages: 240
Weight: 0.75 kg


Geological prior information, and its application to geoscientific problems, R A Wood and A Curtis • An introduction to prior information derived from probabilistic judgments: elicitation of knowledge, cognitive bias and herding, M C Baddeley, A Curtis and R A Wood • Stratal patterns and lithofacies of an intact seismic-scale Carboniferous carbonate platform (Asturias, NW Spain): a virtual outcrop model, K Verwer, J A M Kenter, B Maathuis and Della Porta • Digital field data acquisition: towards increased quantification of uncertainty during geological mapping, R R Jones, K J W McCaffrey, R W Wilson and R E Holdsworth • Three-dimensional geological models from outcrop data using digital data collection techniques: an example from the Tanqua Karoo depocentre, South Africa, D Hodgetts, N J Drinkwater, D M Hodgson, J Kavanagh, S S Flint and K J Keogh • Sensitive dependence, divergence and unpredictable behaviour in a stratigraphic forward model of a carbonate system, P M Burgess and D J Emery • Input uncertainty and conditioning in siliciclastic process modeling, D M Tetzlaff • Classical logic and the problem of uncertainty, C A Pshenichny • Optimal elicitation of probabilistic information from experts, A Curtis and R A Wood • Interactive inverse methodology applied to statigraphic forward modeling, C Wijns, T Poulet, F Boschetti, C Dyt and C M Griffiths • Building confidence in geological models, R A Bowden • Lithospheric structure of the Canadian Shield inferred from inversion of surface-wave dispersion with thermodynamic a priori constraints, N M Shapiro, M H Ritzwoller, J C Mareschal and C Jaupart • Beyond kriging: dealing with discontinuous spatial data fields using adaptive prior information and Bayesian Partition Modeling, J Stephenson, K Gallagher and C C Holmes • Using prior subsidence data to infer basin evolution, N White •


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