Publications

Publication: Technical Report TR#095

Date: April 2015

Paper: Final report on modelling and predicting mineralogical and textural controls of coarse liberation potential

Event: EFEE World Conference on Explosives 2017

Date: 10-11 September 2017

Location: Stockholm, Sweden

Paper: The development of a new geometrical blast fragmentation model and its application to Grade Engineering®

Publication: Minerals Engineering

Edition: 99 (2016) 1–7

Date:  23 September 2016

Paper: Managing Uncertainty in a Grade Engineering® Industrial Pilot Trial

Publication: Technical Report TR#080

Date: July 2014

Paper: P1A-052 A Review of Preferential Grade by Size Deportment Data Analysis Procedures and Comparative Ranking Methods

Event: International Symposium on Mine Planning & Equipment Selection (MPES2017)

Date: 29-31 August 2017

Location: Lulea, Sweden

Paper: Economic Benefits and Technical Complexities of Grade Engineering® in Strategic Mine Planning of Metalliferous Projects

Event: Physical Separation 2017

Date: 15-16 June 2017

Location: Falmouth, Cornwall, UK

Paper: Integration of coarse separation levers to drive value in mining operations

Event: Physical Separation 2019

Date: 13-14 June 2019

Location: Falmouth, Cornwall, UK

Paper: Gangue rejection in practice - the implementation of Grade Engineering® at the Minera San Cristóbal Site

Publication: Minerals Engineering

Edition: 103–104 (2017) 2–10

Date: 30 July 2016

Paper: Unlocking additional value by optimising comminution strategies to process Grade Engineering® streams

Event: Mine Excellence 2018

Date: 21-23 March 2018

Location: Santiago, Chile

Paper: Reducing Water, Energy and Emissions through Grade Engineering®

Publication: Minerals Engineering

Edition: 99 (2016) 76–88

Date:  26 September 2016

Paper: Value Driven Methodology to Assess Risk and Operating Robustness for Grade Engineering Strategies by means of Stochastic Optimisation

Publication: Minerals Engineering

Edition: 86 (2016) 149–155

Date: 12 December 2015

Paper: Methodology to develop a coarse liberation model based on preferential grade by size responses

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