Consulting ServicesAdvanced TechnologyIndustry RelationshipsTechnical Library
The Enterprise Solution to Integrating Blasting into the Mining ProcessDevelopments with Electronic DetonatorsExplosives Malfunction in Decked BlastsGeologic Considerations in Blasting and Mine SafetyMeasurement Technology in MiningBenefits of Blend Programs in Surface CoalBulk Loading of Emulsion Explosives in Shaft SinkingA Statistical Approach to Integrating Blasting into the Mining ProcessDynoMiner APS Underground Explosive Loading SystemEstimating ROM Size DistributionMaximising Sag Mill ThroughputMechanistic Blast Outcome MeasurementMining Automation ProgramModelling the Impact of Rockmass on FragmentationOptimising Development BlastingOptimising Drill & Blast at Olympic DamOptimum BlastingPriming with Multiple Delays with the Same TimingTamping Practices in Development BlastingA Blasters Tool to Measure FragmentationThe Challenge of Precise Measurement of Precision

A Statistical Approach to Integrating Blasting into the Mining Process

David P. Lilly, P.E., MBA, DynoConsult, Pawleys Island, S.C., USA

ABSTRACT

Blasting and mining science and technologies have advanced significantly the past 25 years through the addition of more quantitative methods in each separate field.  Both fields have made tremendous strides in first principle simulation and control.  Because of the unique nature of the blasting process, equally unique mining processes, and time inconsistencies between the results of each, the processes have not been fully integrated.  Both processes are statistical in nature and results are site-specific making integration of the separate modeling processes difficult at best.  In addition, the blasting and mining variables are interrelated and affect each other significantly with complex interactions.

The expansion and use of extensive blasting and production databases has been the first step in the integration.  A statistical description and evaluation of significant blasting variables effecting the mining process is furthering the integration of the two processes while first principle modeling and development is proceeding.  Future work will take the statistical processes in combination with blasting and mining modeling to create real time optimization methods.
Downloads