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.
GEOLOGY × PROCESSING × STATISTICS
Statistical
geometallurgy
for better
decisions.
I help mining and mineral-processing teams make better decisions from orebody, testwork and plant data.
Combining geological and operating-plant experience with statistical inference, I develop defensible analyses and practical software tailored to the problem.
01 / 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.
Better data.
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 methodology02 / SERVICES
A clear question.
A useful deliverable.
Focused reviews, investigations and tool development. Each engagement is scoped around your decision, the available data and an agreed output.
01 / REVIEW
Geometallurgical model review
Understand whether an existing model is fit for its intended use, and where the evidence or validation needs strengthening.
What you receive
A review of assumptions, sampling, validation and uncertainty, with prioritised recommendations.
02 / INVESTIGATE
Ore-to-plant investigation
Investigate changes in grade, throughput, recovery or product quality by bringing geological, testwork and operating data together.
What you receive
An integrated analysis, reproducible workflow and findings that set out the implications and limits of the evidence.
03 / IMPLEMENT
Bespoke analytical tools
Turn a recurring technical task or research method into a workflow or application that your team can use.
What you receive
A documented tool or workflow, example inputs, validation checks and a practical handover.
03 / 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.
04 / SOFTWARE & WRITING
Methods into
practice.
Tools and technical writing in preparation. Public links will be added when each resource is released.
R PACKAGE / OPEN-SOURCE RELEASE PLANNED
chRonostatistics
Chronological variograms and variance-component analysis for process data, with reproducible R workflows.
Preparing for release
TECHNICAL ARTICLE
Element-to-mineral conversion
A worked exploration of connecting elemental assays to mineralogical interpretation, with assumptions and uncertainty made explicit.
Under review
SHINY APPLICATION / PUBLIC APP PLANNED
Geometallurgical Drillhole Optimiser
An interactive Shiny application to support geometallurgical drillhole and sampling decisions.
Preparing for launch
05 / APPLIED RESEARCH
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.
06 / ABOUT
Matt Clauson.
Geology, processing
and statistics.
Matt Clauson is a Perth-based geometallurgist and statistical modeller with more than 10 years of experience across mining and mineral processing.
His background spans operating-plant roles, commissioning, mineralogical characterisation and geometallurgical studies. That practical experience informs how he connects ore variability, testwork and plant performance.
Through Clauson Geomet, Matt develops analyses and software around the decision a client needs to make — not a predetermined modelling technique. His applied research focuses on compositional data analysis and causal inference.
He holds an MSc in Mining Geology, a BSc (Hons) in Geology and a Graduate Diploma of Science in Mathematics & Statistics.
07 / 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.