Automating Resource Modelling Workflows with RMSP - Modernising Traditional to Probabilistic Techniques

This one-day workshop offers a practical, hands-on approach to understanding automated resource modelling workflows with the Resource Modeling Solutions Platform (RMSP), from traditional deterministic methods (e.g. IDW, Kriging) to advanced probabilistic approaches (e.g. continuous and categorical simulation). Rather than extensively exploring the theoretical foundations of the methods used, participants will be provided with pre-built workflows that demonstrate their practical usage and key considerations. Each step of the grade estimation and simulation workflows will be broken down and explained, so attendees can understand what is being done and why. 

Time will be dedicated towards the end of the workshop for introducing advanced topics, including methods for characterising domain uncertainty of varying deposit styles, such as hierarchical truncated plurigaussian (HTPG) simulation and vein simulation.

Through ready-to-use scripts and examples, participants will follow along, using RMSP and Python-based tools to automate deterministic and probabilistic models. Automation is key not only to improve efficiency and consistency but also to allow geologists to dedicate more time to critical thinking and geological interpretation - the core of effective resource modelling. By embedding rigorous checks and validations throughout the workflow, automation ensures that models are reliable, transparent, and auditable. 

By the end of the workshop, participants will have a solid foundation of how to apply automated workflows to improve decision-making in modern resource estimation and simulation.  

Why Should You Attend?

Gain hands-on experience with RMSP and Python-based tools to automate, streamline and modernise resource modelling workflows. This workshop equips you with practical skills to improve efficiency, consistency, and decision-making, enabling you to focus on critical geological interpretation while ensuring reliable and auditable models. Also gain exposure and practical insight into modern estimation workflows and simulation methods.

Computer and Software Specifications 

Participants are required to bring a laptop running Windows or macOS for the training. Software licenses and training data will be provided, along with trial licenses valid for one month after the workshop. Administrative privileges are required on the laptop to install RMSP, a minimum of 16GB RAM, and a capable graphics card. 

To ensure a smooth start, we recommend installing the software before the workshop. Our team will reach out to assist participants with the installation process in advance. Licenses will be set up and accessed via the RMS Portal during the course. Please note that an internet connection will be required to activate the license.

Workshop Sponsor

Facilitators

• Dhaniel Carvalho, Principal Geologist, GeologicAI
  
  Dhaniel conducts geostatistical and resource modelling projects at Resource Modeling Solutions with a focus on the APAC region. Dhaniel holds a MSc in geostatistics and has gained comprehensive expertise in resource modelling for multiple commodities and deposit types around the world during 13 years in industry. Dhaniel previously held the role of Principal Resource Geologist at Glencore and was responsible for leading a team of geologists, providing technical guidance and resource modelling training worldwide for operations, sign-off of Resources for Resources & Reserves reporting, participating in feasibility studies and due diligences. Dhaniel is part of the organizing committee for the AusIMM Mineral Resource Estimation Conference.
  
  
• Ana Chiquini, Principal Geologist, GeologicAI
  
  Ana manages geostatistical and resource modelling projects at Resource Modeling Solutions, with a focus on the APAC region. Ana has comprehensive industry expertise in a range of commodities and deposit types, in multiple mining jurisdictions. Ana previously held the role of Principal Resource Estimation at Rio Tinto Copper, where she was responsible for producing and overviewing resource modelling and due diligence work. Ana holds a Master's Degree in geostatistics and brings 13 years of industry experience in Mineral Resource evaluation, disclosure, and management. Ana has delivered a variety of training courses on geology modelling and Mineral Resource estimation in English, Portuguese and Spanish.

Registration

Workshops must be purchased with a conference registration. If you wish to include the Automating Resource Modelling Workflows workshop to your registration, please select the additional workshop option in your registration form.

If you have already registered to attend the Mineral Resource Estimation Conference and wish to add the workshop to your registration, please contact conference@ausimm.com.