I help mining and mineral-processing teams make better decisions about sampling, testwork, geometallurgical models and plant performance.
Independent consulting that connects geology, metallurgical testwork, operating-plant experience and statistical inference — from reviewing a model to deciding what to test next or investigating what is driving plant performance.
01 / SERVICES
Four focused ways to support a technical decision: modelling and review, sampling and testwork optimisation, plant and process analytics, and bespoke analytical tools. Each engagement is scoped around your question, the available data and an agreed output.
Develop or independently review models that connect ore characteristics to processing behaviour, with the intended decision and the limits of the available evidence kept explicit.
A model or review report, as scoped, with documented assumptions, validation, uncertainty and prioritised recommendations.
Prioritise metallurgical testwork when samples, time or budget are limited. Use geological context, existing results and uncertainty to focus the next round of testing where it is most informative.
A transparent sampling or testwork strategy with assumptions, constraints, candidate priorities and a reproducible basis for selection.
Investigate changes in grade, throughput, recovery or product quality by bringing geological, mineralogical, testwork and operating data together.
An integrated analysis, reproducible workflow and findings that set out likely drivers, implications and the limits of the evidence.
Turn a recurring technical task, statistical method or decision workflow into software that geologists, metallurgists and engineers can actually use.
A documented R, Python or interactive workflow with validation checks, example inputs and a practical handover.
02 / PROJECT EXPERIENCE
Selected experience from industry roles. These anonymised examples describe work undertaken in employed roles, not commissions delivered by Clauson Geomet. Company and site names are omitted.
Operating plant analytics
Risk & decision support
Resource definition
03 / THE APPROACH
Statistical geometallurgy, as practised at Clauson Geomet, applies statistical thinking to the whole journey from geological and processing data to a decision: sampling, data quality, analysis, interpretation and implementation.
01 / UNDERSTAND THE DATA
Data organisation, quality control and visualisation deserve the same care as modelling. I build workflows that can be checked, understood and reused.
02 / INTERPRET THE EVIDENCE
With limited testwork, the sampling, orebody and process matter as much as the method. Experience informs assumptions; validation and uncertainty keep conclusions in proportion to the evidence.
03 / MAKE IT USEFUL
I turn methods into practical R and Python workflows and interactive tools. Where standard approaches fall short, I develop and test problem-specific implementations.
Domain knowledge, not just model fit. A model can fit the data and still answer the wrong question. The difference is knowing what the samples represent, how the process works and which conclusions the evidence supports.
More about the methodologyCOMPOSITION & MINERALOGY
My focus is on interpreting geochemical assays and mineral proportions in ways that respect their relative structure, with applications in element-to-mineral conversion and uncertainty in mineralogical interpretation.
CAUSE & PROCESS RESPONSE
I investigate how to distinguish changing ore characteristics from the effects of operational interventions, using process knowledge, explicit assumptions and appropriate study design — including recognising when the evidence cannot separate them.
04 / EXPLORE
Explore the methods through technical writing, open-source software and interactive examples.
BLOG / TECHNICAL WRITING
Articles and worked examples on geometallurgy, mineral inference and the questions behind technical decisions.
Browse all postsOPEN-SOURCE R PACKAGES
Generate synthetic mineral and assay compositions, fit multivariate compositional distributions to measured data, or explore time-ordered process variability. Open-source R tools with worked examples.
Explore the packagesINTERACTIVE SAMPLING CHALLENGE
Choose fictional drill-core tests under a budget, compare your selections against information-theoretic sampling and see why geological coverage and expected learning are different questions.
Try Beat the SamplerGEOMETALLURGICAL PLANNING DEMONSTRATION
Explore physically eligible core and geological coverage, then follow a fictional laboratory reveal and Bayesian Information Gain selection within a budget.
Explore the optimiser05 / ABOUT
I’m Matt Clauson, founder of Clauson Geomet and a Perth-based geometallurgist and statistical modeller with more than 10 years of experience across mining and mineral processing.
My background spans operating-plant roles, commissioning, mineralogical characterisation and geometallurgical studies. That practical experience informs how I connect ore variability, testwork and plant performance.
My experience spans iron ore, nickel, bauxite, manganese, tin–tungsten and lead–zinc–silver projects.
Through Clauson Geomet, I develop analyses and software around the question a client needs to answer — not a predetermined modelling technique. My applied research focuses on compositional data analysis and causal inference.
I hold an MSc in Mining Geology, a BSc (Hons) in Geology and a Graduate Diploma of Science in Mathematics & Statistics.
06 / CONTACT
Tell me the decision you need to make, the data you have and any timing constraints.
Please avoid sending confidential datasets in an initial enquiry.
