GEOLOGY × PROCESSING × STATISTICS

Statistical
geometallurgy
for better
decisions.

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

A clear question.
A useful deliverable.

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.

02 / PROJECT EXPERIENCE

Applied across the
mine-to-mill chain.

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

Integrated process troubleshooting

Problem
Understanding variability in product grade and processing performance.
My contribution
Integrated geological, mineralogical and plant-operating data in a cross-functional troubleshooting team.
Deliverable
Diagnostic, causal and forecasting workflows to investigate ore and operating influences.
Decision supported
Structured root-cause investigation and plant troubleshooting.

Risk & decision support

Geometallurgical risk modelling

Problem
Identifying conditions associated with a significant operational hazard.
My contribution
Developed a statistical risk-analysis tool for site evaluation.
Deliverable
A repeatable analytical approach applied across multiple major site evaluations.
Decision supported
Hazard identification and mitigation planning.

Resource definition

Predictive geometallurgical domaining

Problem
Improving the repeatability of domain assignment during resource-definition drilling.
My contribution
Applied statistical learning to predictive block-model domaining.
Deliverable
A predictive domaining workflow used during an active drilling campaign.
Decision supported
More consistent domain assignment and better-informed resource-definition decisions.

03 / THE APPROACH

More than modelling.
From data to decisions.

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

Better data.
Not just better models.

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

Small samples.
Careful inference.

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

Rigorous methods.
Useful tools.

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 methodology

Research grounded
in application.

COMPOSITION & MINERALOGY

Compositional data analysis

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

Causal inference

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

Writing, software
and tools.

Explore the methods through technical writing, open-source software and interactive examples.

BLOG / TECHNICAL WRITING

Blog

Articles and worked examples on geometallurgy, mineral inference and the questions behind technical decisions.

Browse all posts

OPEN-SOURCE R SOFTWARE

chRonostatistics

Open-source statistical tools for chronological variograms, sampling-interval effects and ordered process-data analysis.

Explore the package

INTERACTIVE DECISION SUPPORT

Geometallurgical Testwork Optimiser

A public synthetic demonstration of choosing which existing drill-core intervals to test next under budget, geological and uncertainty constraints.

Explore the optimiser

05 / ABOUT

Matt Clauson.
Geology, processing
and statistics.

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

Have a project
worth discussing?

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.