The validity of subsurface flow simulations strongly depends on the accuracy of relevant rock property values and their distribution in space. In realistic simulations, this spatial distribution is based on two geological considerations: (1) the subsurface structural setting, and (2) smaller-scale heterogeneity within a hydrostratigraphic unit. Both aspects are subject to uncertainty, whereas t...

Based on the Markov model and the basic theory of information entropy, this paper puts forward a new method for optimizing the location of observation points in order to obtain more information from limited geological investigation. According to the existing data from observation points data, classification of tunnel geological lithology was performed, and various lithology distribution were de...

Geological uncertainty is of significant concern in petroleum reservoir modeling with the goal of maximizing oil production. Stochastic simulation allows generating multiple reservoir models that can be used to characterize this uncertainty. However, the large computation time needed for flow simulation (e.g., for use in production forecasting) impedes the evaluation of flow on all reservoir mo...

This study proposes a segmentation procedure based on multivariate texture to extract spatial objects from an image scene. Object uncertainty is quantified to identify transitions zones of objects with indeterminate boundaries. The Local Binary Pattern (LBP) operator, modelling texture, is integrated into a hierarchical splitting segmentation to identify homogeneous texture regions in an image....

Geological information can be used to solve many practical and theoretical problems, both within and outside of the discipline of geology. These include analysis of ground stability, predicting sub-surface water or hydrocarbon reserves, and assessment of risk due to natural hazards. In many cases, geological information is provided as an a priori component of the solution (that is, information ...

This research project developed an adaptive stochastic optimisation approach for multi-period production scheduling in open-pit mines under geological uncertainty, and compared it to existing two-stage method. new rolling-horizon updates the model each time period as information becomes available. Numerical tests carried out earlier on open-pits of different sizes showed that, average, policy g...