ML/AI Applications in Greenfields Mineral Exploration Workshop

ML/AI Applications in Greenfields Mineral Exploration

Machine Learning (ML) and Artificial Intelligence (AI) are increasingly adopted in mineral exploration, offering new opportunities to enhance efficiency, accuracy, and reliability. This workshop will bring together industry experts who have integrated ML/AI into greenfields exploration workflows, from geological mapping through to drill targeting. Participants will gain practical insights into how these technologies can streamline processes, support robust decision-making, and deliver tangible exploration outcomes.

WHY ML/AI MATTERS IN EXPLORATION

• Integrating and interpreting diverse datasets consistently and efficiently, particularly in greenfields exploration.
• Managing multiple projects concurrently, often with limited resources.
• Continual need to prioritise tenements and provide sound justification for exploration investment.

WORKSHOP BENEFITS

• Learn directly from practitioners across industry, academia and government who have applied ML/AI in real-world exploration projects.
• Access practical workflows and methodologies that can be readily implemented in your own projects.
• Review case studies demonstrating how ML/AI has contributed to successful drill targeting and new discoveries, as well as unsuccessful cases.
• Explore new ML approaches for improving regolith and bedrock geological mapping.
• Discover methods for automating the interpretation of geochemical and geophysical datasets.
• Gain practical workflows for mineral prospectivity analysis and target prioritisation.
• Engage in balanced discussions regarding the capabilities and limitations of ML/AI.

WHO SHOULD ATTEND?
This workshop is designed for industry, government and academic geologists, geochemists, geophysicists, data scientists, exploration managers, geoscience students and other professionals interested in leveraging ML/AI to advance mineral exploration.

This event will be offered both in-person and online.

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CALL FOR CASE STUDIES/SPEAKERS

The AIG and Geoconferences invite submissions of high-quality, practical case studies that showcase the successful application of Machine Learning (ML) and Artificial Intelligence (AI) in mineral exploration. We are seeking contributions that highlight innovative workflows, tangible outcomes, and the geological insights gained by integrating ML/AI with established exploration practices.

We encourage case studies that address:

• Interpretation and anomaly detection in geochemical surveys
• Integration and automated interpretation of geophysical datasets
• Target generation, prioritisation, and refinements to prospectivity “Black box” modelling
• How ML/AI has contributed to successful drill targeting and new discoveries, particularly in greenfields exploration
• Where the use of ML/AI has not been successful and/or where it cannot be used
• Regolith and bedrock geological mapping
• Any example where ML/AI has improved efficiency, accuracy, or led to new discoveries
• Submissions should demonstrate real-world relevance and value to exploration geoscientists, with clear evidence of impact on exploration decisions or outcomes. We welcome balanced discussions of methodologies, geological context, limitations, and lessons learned.

How to submit:
Please send a concise abstract (150–300 words), including author details and contact information to wa@aig.org.au. Help us highlight how ML/AI is transforming mineral exploration and contribute to a workshop that will benefit Australia’s geoscience community. 
Deadline: Friday, 1 May 2026

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Cost and Registration

In-person Members – $400 Non-members – $550 Students – $100

Online Members – $300 Non-members – $415 Students – $75

Registrations will open soon!

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Sponsorship

Contact wa@aig.org.au for sponsorship opportunities in connection to this event. 

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