The Readjustment of a Geological Coal Model Through Mapping an Open Cut Highwall Using UAV System to Generate Theoretical Boreholes

Bredenkamp, David (2018) The Readjustment of a Geological Coal Model Through Mapping an Open Cut Highwall Using UAV System to Generate Theoretical Boreholes. [USQ Project]


Abstract

When an underground geological coal model is seen to be insufficient and not representing what is below the surface, how can this issue be resolved in an effective, accurate and cost-effective manner while mining operations commence?

In short, the answer is through the generation of theoretical boreholes based on the open cut highwall through aerial photogrammetry. Within this report two methods were investigated which attempted to achieve this goal. Method one was deemed a failure as it could not generate accurate data due to requiring interpolation based on the existing model’s data. However, it did achieve some results which can further be investigated to improve the successful methods efficiency and possible accuracy. Method two was considered a success as it generated 60 accurate theoretical boreholes which were then used to readjust the existing geological coal model. The data that was created could be seen to improve the accuracy and level of detail within the model between the existing boreholes locations. The readjusted model achieved an average accuracy of 50mm with the best results achieving 20mm accuracies. This method is now being implemented within the mine site where the data was gathered to further improve their models.

These methods proved that aerial photogrammetry can be utilised to achieve a readjustment of an underground geological coal model. It further showed that it can be performed while mining operations commence without disrupting the productivity. Overall, it widened the capabilities and applications in which UAVs were thought to be operational. All in all, the project achieved its aim of readjusting an underground geological coal model using aerial photogrammetry and a UAV system.


Statistics for USQ ePrint 40715
Statistics for this ePrint Item
Item Type: USQ Project
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Supervisors: Perera, Kithsiri
Qualification: Bachelor of Spatial Science (Surveying)
Date Deposited: 31 Aug 2022 03:23
Last Modified: 27 Jun 2023 04:50
Uncontrolled Keywords: geological coal model; open cut highwall; aerial photogrammetry
URI: https://sear.unisq.edu.au/id/eprint/40715

Actions (login required)

View Item Archive Repository Staff Only