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Subsurface Conditions

Series: Lecture Notes in Earth System Sciences Volume: 99

Edited By: K Turner and M S Rosenbaum


Paperback | Dec 2003 | #141632 | ISBN: 3540437762
Availability: Usually dispatched within 1-2 weeks Details
NHBS Price: £163.00 $198/€181 approx

About this book

Characterisation of the shallow subsurface has gained in importance as civil and geotechnical engineering and environmental applications have become more dependent on a precise definition of geomechanical and geohydrological properties. A better understanding of the subsurface conditions offers wide-ranging benefits to governments, industry and individual citizens.Subsurface geological modelling became an economic and technologic reality in the late 1980's, when competing 3-D geoscientific information systems were the subject of considerable research and evaluation, especially by the petroleum exploration industry. Investigations in the shallow subsurface impose additional requirements that have only recently become technically and economically achievable. The very shallow urban underground environment, where many infrastructure and utilities elements are located, presents the most difficult characterisation problems.Subsurface modelling techniques have matured, along with modern data base concepts. The evolution of the Internet and Web-browser technologies has expanded information transmission and dissemination capabilities. Subsurface models are being integrated with decision-support systems to provide predictions of technical and economic performance. Yet even the most sophisticated of these models leave some uncertainty in geologic interpretation. A variety of techniques for assessing uncertainty have been developed and are being evaluated.


Overview and Achievements.- Geoscience Products and End User Requirements.- Principles and Techniques for Subsurface Model Construction and Visualisation.- Dissemination: Nationale Survey Issue and Internet Impact.- Property Prediction: Parameter Definition and Calibration Issues.- Uncertainty in Modelling: Implications for Prediction and Simulation.- Transcriptions of Conference Discussion Group Reptorts.

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