Improving Automated Geological Logging of Drill Holes by Incorporating Multiscale Spatial Methods

Improving Density Estimation by Incorporating Spatial Information

Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density estimation, such as Kernel Density Estimation, do not incorporate geographical information. Using these methods could result in nonnegligible portions of the support of the density in unrealistic geographic locations. For ...

Improving Robustness in Multiscale Methods

Analysis of the Spatial Distribution of Galaxies by Multiscale Methods

Galaxies are arranged in interconnected walls and filaments forming a cosmic web encompassing huge, nearly empty, regions between the structures. Many statistical methods have been proposed in the past in order to describe the galaxy distribution and discriminate the different cosmological models. We present in this paper results relative to the use of new statistical tools using the 3D isotrop...

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining

This paper addresses one of the key components of the mining process: the geological prediction of natural resources from spatially distributed measurements. We present a novel approach combining undirected graphical models with ensemble classifiers to provide 3D geological models from multiple sensors installed in an autonomous drill rig. Drill sensor measurements used for drilling automation,...

Automated Drill Design Software

This section of the report discusses a tool which can create automated 3D CAD drill models based on geometric as well as manufacturing parameters. This tool is a required component of numerical/FEmodels of FRP drilling. The tool outputs the drill in a variety of solid geometry formats which can then be meshed and used in different FE analysis packages.