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Geology Meets Data: How Analytics is Transforming Exploration

Antoine Caté

In this video, Antoine Caté, SRK´s Structural Geologist, discusses the synergy between traditional exploration techniques and the current dynamics being applied with AI tools.

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Using Advanced Data Analytics to Get More from Drilling Data: Applying Data Science and AI Methods on Core Image Data

Parham Adiban

AI techniques like image segmentation and convolutional neural networks (CNNs) are transforming geological core logging by automating the identification of veins, lithologies, and structural features, significantly improving speed, cost-efficiency, and data quality.

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Geological Characterization for Lithium Pegmatite Projects: A Summary of Commonly Observed Fatal Flaws, Challenges, and Good Practices

Erik Ronald

This presentation shows the findings from numerous studies on what is required for successful pegmatite projects.

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Geology of Angolan Kimberlites: Challenges and Opportunities

Casey Hetman, Dima Yakovlev, Amy Mailey, Grete van Staden

Explore Angola’s kimberlite geology, mining challenges, and opportunities, with insights into key deposits and factors shaping diamond exploration success.

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VentLOG: Introduction and Case Studies - Implementation at Multiple Sites

John Bowling

VentLog was implemented into ventilation monitoring and Ventsim modeling workflow at multiple mine sites with different management and technical service structures.

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Estimating Respirable Silica Concentration from CPDM Samples Using FTIR Analysis: Results from Lab and Field Samples

August Greth

This presentation discusses using FTIR Analysis in detail and show results for CPDM samples collected in both the lab and field. Moving forward, this method could enable mines to leverage the CPDM samples they are already collecting to collect additional RCS data.

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