Abstract
Summary This paper intends to review and stress the benefit of analysing integrated (geophysical and geotechnical) data within in a 3D environment. Over the past years concrete efforts, both in new survey acquisition methodologies and 3D computing capabilities, have been made to overcome the limitation embedded in conventional 1D/2D techniques. The 3D CPT cone resistance model was built using the kriging interpolating algorithm between the known cone resistance data points by statistically predicting the value of the empty voxel cells via a variogram. Statistical analyses (model robustness tests and minimum input tests), were used to analyze uncertainties inherited in the model and to predict the lateral extent of these uncertainties along the units. Theoretical optimum between number of geotechnical locations and model distortions were analyzed based on differences between the resulting models and variogram analyses.
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