Sentence examples for mining planning from inspiring English sources

Computational research areas that interact with these topics include (but are not restricted to) research in databases, machine learning, data mining, planning, artificial intelligence, operations research, mathematics, network analysis, social networks, computer vision, computer security, biometrics, forecasting, and statistical modeling.

Due to its capabilities (synoptic view, high accuracy, dense grid sampling), the complementary use of space-based SAR with field monitoring systems proved to be strategic for operational mining planning and risk assessment in this challenging environment.

A rational prediction is getting more and more important for long-term underground mining planning.

To this extent, the application of multivariate conditional simulation and mining planning methodology as outlined in this paper can be easily adapted to coal mining.

Hence, computer-based analytical methods that realistically simulate spatially distributed time-dependent ground movement process are needed for the reliable long-term underground mining planning to minimize the surface environmental damages.

This online planning system is implemented as a prototype for open-pit mine planning.

These efforts provided two overarching conclusions concerning R & P retreat mine planning and execution.

LavaNet runs inside VULCAN™ a complete mine planning package with advanced database, modelling and visualisation capabilities.

By comparing the simulated interval against the forecasted value planned by short-term mine planning block model 96% of situations included the real values.

3, strategic mine planning is implemented using an in-house mine planning tool and the risk profiles associated with that mine plan are constructed using simulations.

Given that kriging estimation and deterministic mine planning techniques will well remain their popularity in the near future, it is recommended that any mine plan built based on deterministic resource model should be validated against geological uncertainty.