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Conference Proceedings

Fifth International Future Mining Conference 2021

Conference Proceedings

Fifth International Future Mining Conference 2021

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Optimising blast hole loading with MWD and 3D image analysis

In recent years, Smart Drills have enabled precise GPS hole navigation along with the generation of rich Measure While Drilling (MWD) data to provide a new perspective on subsurface conditions (Sandvik, 2021). Over the same period, drones have enabled the collection of a visual, geometric, and hyperspectral geological data.
Integrating these new data types into the blast design process allows blasters to optimise fragmentation and prevent flyrock by tailoring each segment of a blast hole to its specific conditions (Epiroc Rock Drills AB, 2019). However, the application of these new technologies has not yet gained widespread adoption in day-to-day practices, largely due to the operational complexity introduced.
To address this issue, this research sought to establish a new workflow for optimising hole loading using MWD and drone data that reduced operational complexity rather than increasing it. The objective was to identify a practical and robust process that could be incorporated into everyday operations rather than just special projects.
Firstly, this paper provides an interpretation framework for MWD data and an understanding of how MWD can be used to gain unique insight into rock mass properties. A list of common MWD parameters is presented with definitions.
Next, the paper outlines a real case study demonstrating a new workflow for using MWD data to identify different strata bands and apply this to make better loading decisions. Practical techniques are described for data capture, analysis, blast design, and blast performance measurement.
This represents a collaborative effort between the site leadership, the blasting contractor, the drilling OEM and the blasting software provider to create an efficient process for achieving measured improvements in blasting outcomes.
In closing, the paper discusses how these techniques can be applied to facilitate more streamlined implementation of variable energy loading. It also presents the future opportunities that machine learning will create for automating seam detection and charging design tailored to rock conditions.
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  • Optimising blast hole loading with MWD and 3D image analysis
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  • Published: 2021
  • Pages: 8
  • PDF Size: 0.697 Mb.
  • Unique ID: P-01592-K3P8F2

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