
Christopher Bray
Principal Consultant (Mining)
SRK Consulting (UK)
Chris Bray BEng, MAusIMM(CP) is a Principal Consultant (Mining) with 25 years’ international experience, contributing to and managing a wide range of multidisciplinary technical mine studies, due diligence, operational support and international reporting projects. He has a strong background in underground and open pit mining which can assist in assessing and communicating practical solutions for mining challenges for strategic planning and investment decisions.
Chris’ technical expertise includes: open pit and underground mine optimisation, mining method selection, trade-off assessment, mine design, scheduling, ventilation, water management, equipment selection (including battery-electric), cost estimation, materials handling, contracting, financial modelling, benchmarking, due diligence and valuation. He has worked on base, precious-metal, potash, lithium, iron ore, manganese, bauxite, coal, uranium, and industrial mineral projects throughout Australia, Central Asia, Russia, India, Europe, Africa and Central/South America.
Strategic Mine Planning (SMP)
The Strategic Mine Planning (SMP) master class provides an overview of good practise for developing a mine plan at any stage including greenfield, operating or restart of historic mines. Typical uncertainties that arise during mine planning include:
• Production rate potential of mining targets and the impact of cut-off grade.
• Cut-off grade strategy and schedule priorities.
• Consideration of Inferred resources for open pit and underground strategic planning.
• Reporting of Ore Reserves to an Internationally Recognised Reporting Code.
The SMP master class will outline a range of project challenges experienced and solutions applied through trade-off assessment and detailed mine planning, covering topics such as:
• Selection of mining method, cut-off grade, production rate and schedule priorities.
• Mine waste management, carbon footprint and mine closure considerations.
• Strategic planning considering Inferred Resources.
• Managing gaps in data and testwork.