CODE: OG18
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course introduces participants to how artificial intelligence can enhance traditional reservoir engineering, focusing on combining conventional decline curve analysis (DCA) with advanced AI and machine learning techniques. It covers the basics of DCA, AI algorithm applications for forecasting production, data preparation, and model training, along with the use of hybrid models to boost forecasting precision and dependability. Through this course, participants will gain practical skills to apply AI-driven methods for more accurate production predictions, improve decision-making in reservoir management, and harness modern data analytics to optimize oil and gas operations.
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:
Understand the principles and applications of decline curve analysis for production forecasting.
Apply machine learning and AI models to enhance prediction accuracy.
Integrate domain knowledge with data-driven approaches for robust forecasting.
Evaluate, validate, and compare AI-based forecasts with traditional methods.
Utilize AI tools to support reservoir management and production optimization decisions.
At the end of this course, you’ll understand:
This course is designed for petroleum engineers, reservoir engineers, production engineers, data scientists working in the energy sector, and technical managers seeking to leverage AI in upstream oil and gas operations. It is also suitable for early-career professionals aiming to strengthen their understanding of both traditional decline curve methodologies and cutting-edge AI applications in production forecasting.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
