Optimised drill targeting using dynamic 3D modelling, Martabe Gold Mine, Indonesia

The Australasian Institute of Mining and Metallurgy
S Konopa R Ayres A Nur Kasnanto H Indirawati
Organization:
The Australasian Institute of Mining and Metallurgy
Pages:
3
File Size:
520 KB
Publication Date:
Nov 21, 2018

Abstract

As a project moves through the mine life cycle, the quantity of data available increases and the understanding of the orebody matures. Incorporating new information quickly and efficiently in current 3D models, is essential for adding value across the life-of-mine value chain. At the Martabe Gold Mine, the resource development group manages 14 drill rigs on six resource projects, including three operating mines. The Martabe deposits are geologically complex and the volume of new information that becomes available each day is substantial. It is imperative that new geological and assay information is integrated into the 3D models as soon as possible, so that drill planning and targeting can be modified accordingly. Martabe uses Leapfrog<sup>®</sup> 3D software to update and interrogate the 3D models on a dynamic basis as data becomes available. This results in faster and more effective changes to drill planning and schedules. The impact of this is better drill productivity and cost savings due to optimal drill targeting, and availability of up-to-date models incorporating the most current data. CITATION: Konopa, S, Ayres, R, Nur Kasnanto, A and Indirawati, H, 2018. Optimised drill targeting using dynamic 3D modelling, Martabe Gold Mine, Indonesia, in Proceedings Complex Orebodies Conference 2018, pp 99–101 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Citation

APA: S Konopa R Ayres A Nur Kasnanto H Indirawati  (2018)  Optimised drill targeting using dynamic 3D modelling, Martabe Gold Mine, Indonesia

MLA: S Konopa R Ayres A Nur Kasnanto H Indirawati Optimised drill targeting using dynamic 3D modelling, Martabe Gold Mine, Indonesia. The Australasian Institute of Mining and Metallurgy, 2018.

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