Ep 146: How Machine Learning Can Close the Gap Between Grade Control and Resources. Part 2 episode artwork

EPISODE · Feb 11, 2026 · 12 MIN

Ep 146: How Machine Learning Can Close the Gap Between Grade Control and Resources. Part 2

from Fresh Thinking by Snowden Optiro · host Snowden Optiro

Ian Glacken (Executive Consultant geology) and Dr Gregory Zhang (Senior Consultant Geology) explore how machine learning and convolutional neural networks (CNNs) can be used to bridge the gap between grade control data and resource estimation, and why treating resource models as static can hold operations back. Key discussion points: ⏱ 00:00 Introduction and context for using CNNs with grade control data ⏱ 00:55 Why machine learning must be an ongoing, iterative process ⏱ 03:18 Handling multivariate data and complex geological relationships ⏱ 04:00 Practical considerations: data quality, alignment, and validation ⏱ 06:02 Trust, interpretability, and keeping geologists in the loop ⏱ 07:19 Using lithology and categorical data in CNN models ⏱ 08:58 How an operation can get started with these techniques ⏱ 11:58 Final thoughts on machine learning as a decision-support tool If you enjoyed this episode, please Subscribe for more mining-focused technical discussions across the mine value chain. If you would like to contact Ian or Gregory: [email protected] Listen on the go: Fresh Thinking by Snowden Optiro is rapidly becoming the best mining podcast globally, and is available on all major podcast platforms including the video format on the Snowden Optiro YouTube channel: https://www.youtube.com/playlist?list=PLZm0zjSNmpo27fX_tfI79Yzhxy3VXjvMt  👍 Like, comment, and subscribe for more technical mining insights from our global consulting team. Snowden Optiro: Snowden Optiro is a resources consulting and advisory group that provides independent advice, consulting and training to mining and exploration companies, their advisors and investors. We help mine developers to advance their projects, mining companies to improve their operations and their professionals, and investors to de-risk their investments by the provision of quality advice, training and software in the field of Mineral Resources and Mineral/Ore Reserves. Explore more: https://snowdenoptiro.com/

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Ep 146: How Machine Learning Can Close the Gap Between Grade Control and Resources. Part 2

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This episode is 12 minutes long.

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This episode was published on February 11, 2026.

What is this episode about?

Ian Glacken (Executive Consultant geology) and Dr Gregory Zhang (Senior Consultant Geology) explore how machine learning and convolutional neural networks (CNNs) can be used to bridge the gap between grade control data and resource estimation, and...

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