Geotechnical Risk Management: A Statistical Framework to Assess the Effect of Sampling Density on Dredge Performance Forecasting

This thesis proposes a methodology towards quantifying the uncertainty resulting from the density and spatial arrangement of samples and assessing their effect on forecasting key performance indicators, related to dredging and (wet) mining operations. Aside from quantifying this uncertainty, another objective of this research is to develop a...

Real-Time Resource Management: An investigation of Kalman Filtering techniques

The use of sensor measurement data in mines today is usually limited to the downstream processing of mined material in a feed-forward loop. This thesis investigates the capability of Kalman Filtering techniques in updating resource models, based on sensor data, in a feed-back sense. The mining operation and updating process are simulated in...