This session is the second instalment in our Seequent Evo webinar series.
Driver brings machine learning to geological modeling. Automatically mapping 3D continuity trends across dozens of attributes for a better understanding of deposit structure, reducing uncertainty, and empowering geoscientists and engineers to generate more accurate models with significantly less manual effort.
Sign up to explore how Driver is changing the way geoscientists work.
Join our webinar to discover Seequent Evo Driver, the cloud-based rapid analysis tool that revolutionises how you interpret drilling data.
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Learn how Driver leverages machine learning to automate the analysis of your datasets, helping you to quickly understand the trends and patterns of your deposit and build more accurate models with less manual effort.
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Driver is a native product within the Seequent Evo platform that uses machine learning to identify complex 3D spatial continuity within your numerical and categorical data, revealing key features and patterns in your deposit.
This automated process provides confidence scores and metadata, allowing geologists to review, refine, and confidently integrate results into their Leapfrog models.
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This session is ideal for geologists, engineers, and data managers who want to accelerate their deposit interpretation, reduce uncertainty, and build better, more accurate geological models.
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Register now to harness the power of machine learning and transform your geological modelling workflow!
Seequent Evo is a geoscience data and compute platform that enables integrated workflows and collaboration across Seequent and third-party products.
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Evolve your subsurface intelligence with Seequent Evo.
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Watch the first webinar of the series on-demandÂ
Introduction to Seequent Evo: Revolutionise Your Geoscience Workflow
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Watch the recording of the first session of our Evo webinar series: Introduction to Seequent Evo, the cloud-based platform designed to unite geoscience data, teams, and tools. Discover how Evo can help you break down data silos, enhance collaboration, and accelerate decision-making across your projects.
Mohamed Elbehairy is a multidisciplinary Geologist with expertise in exploration geology, structural interpretation, geotechnical studies, and mineral resource management. With more than 14 years of experience, he has led the planning and execution of exploration campaigns, managed drilling operations, and developed detailed 3D geological models to support mine planning. Mohamed has also contributed to the establishment of QAQC protocols, the adoption of digital data management systems, and the training of geoscience teams. His approach blends technical precision with practical problem-solving, enabling him to deliver solutions that are both scientifically robust and operationally viable. Mohamed is passionate about advancing integrated workflows that connect geological data with mining decisions, ultimately supporting sustainable resource development.