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CODE: NOG01
DURATION: 3 Days | 5 Days | 10 Days
CERTIFICATIONS: CPD
This course is designed to bridge advanced data-driven techniques with traditional subsurface analysis for improved reservoir understanding. The course content explores how artificial intelligence, machine learning and predictive analytics can transform the interpretation of geological, geophysical, petrophysical and production data to unravel the complexities of tight reservoirs. Participants will gain insights into practical workflows, tools and case studies that demonstrate how AI can enhance reservoir characterization, reduce uncertainties and unlock hidden potential in challenging formations.
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:
Develop an understanding of how AI complements conventional reservoir characterization methods.
Apply machine learning and data-driven techniques to improve reservoir quality and heterogeneity assessments.
Integrate multi-disciplinary data sets (geological, geophysical, petrophysical, and production) using AI workflows.
Identify opportunities for enhanced recovery and optimized reservoir management in tight formations.
Critically evaluate case studies and lessons learned from real-world applications.
Design AI-assisted models to predict reservoir behavior and support data-driven decision-making.
At the end of this course, you’ll understand:
This course is tailored for geoscientists, reservoir engineers, data scientists and energy professionals who are engaged in exploration, appraisal and development of unconventional and tight reservoirs. It is also highly beneficial for technical decision makers and managers seeking to understand the value of AI integration in reservoir studies and to foster collaboration between domain experts and data specialists.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
