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CODE: NOG02
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course introduces participants to the intersection of geoscience and artificial intelligence. The course examines the role played by advanced machine learning techniques in revolutionizing seismic data processing, interpretation, and decision making in exploration projects. Through a blend of theory, practical demonstrations and case studies, participants will discover how to harness machine learning algorithms for noise reduction, pattern recognition, fault detection and reservoir characterization ultimately driving faster and smarter exploration outcomes.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Apply machine learning techniques to seismic data analysis and interpretation.
Identify how AI enhances efficiency in exploration workflows.
Leverage ML models for seismic attribute extraction and reservoir characterization.
Understand challenges, limitations, and best practices of integrating AI into seismic projects.
Evaluate real-world case studies to connect theory with practical application.
Develop strategies to automate seismic data processing for faster decision-making.
At the end of this course, you’ll understand:
This course is designed for geoscientists, exploration engineers, data scientists, and energy sector professionals who work with seismic data and seek to integrate machine learning into their workflows. It also benefits decision-makers, project managers, and technical leaders who want to understand the opportunities and applications of AI in seismic exploration to improve efficiency, reduce risks, and enhance competitive advantage.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
