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Geoscientific modelling has some unique requirements. Modern geological applications require increasingly quantitative and accurate rock property characerizations within the three-dimensional subsurface environment. this problem differs from that faced by most other fields due to a variety of technocal and economic constriants. Three-dimensional geoscientific modelling often relies on complex stochastic concepts and thus requires the extraction of information from large multiparameter data sets, and the representation and modification of complex, and uncertain geo-objects of interest.

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...