COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| PRO 517 | 3 – 6 Nov 2026 | Online | 2640 |
| PRO 517 | 1– 4 Sep 2026 | Stavanger | 3520 |
COURSE OVERVIEW
This intensive four-day Real-Time Drilling Operations course covers both fundamental and advanced engineering concepts that can be applied in real time for drilling monitoring and optimization. The goal is to provide participants with a solid understanding of dynamic optimization principles, along with the analytical and quantitative methods required for effective real-time operational decision-making.
Topics include optimization techniques and methodologies, hydraulic optimization, nozzle selection criteria, weight-on-bit optimization for diamond and roller cone bits, rotary speed optimization, hydraulic optimization using specialized downhole tools, well cost estimation, and minimum-cost casing design. The course examines algorithms and optimization techniques used across different stages of drilling and well completion operations.
In addition, the program introduces modern modeling approaches, including data-driven methods, machine learning, and artificial intelligence applications for solving real-world drilling challenges. Participants will work through practical, hands-on exercises designed to address complex operational problems in a realistic context.
The course concludes with team project presentations based on a problem assigned at the start of the program, allowing participants to integrate and apply the concepts learned throughout the course.
COURSE OUTLINE
4 days
Day 1
- Realtime optimization overview
- Dynamic stability
- Data science and hybrid models
Day 2
- Sensor data monitoring
- Other parameter indicators
- Backreaming stability chart
Day 3
- Standpipe pressure monitoring
- ECD calculations
- Rheology models
- Flow rate optimization
- Cuttings transport optimization
- Trip speed optimization
- Trip map/chart
- Overall condition
- Stuck pipe indicators
- Cuttings transport optimization
- Trip speed optimization
- Trip map/chart
- Overall condition
- Stuck pipe indicators
Day 4
- Drilling parameters optimization
- Real-time optimization
- Flat time optimization
- Alerts
- Machine learning models
INSTRUCTOR

Dr. Robello Samuel
Dr. Robello Samuel is a Chief Technical advisor and Senior Technology Fellow working with Halliburton since 1998. He began his career working on rigs as a drilling engineer and has more than 40 years of experience. He is presently a research and engineering lead for well engineering and broader area of cyber-physical systems, artificial engineering intelligence. He is a Distinguished member of the SPE, SPE Distinguished Lecturer, recipient of SPE-GC Drilling Engineering Award, SPE International Drilling Engineering Award, and SPE/AIME Honorary Member. He is concurrently an adjunct professor for 18 years at the University of Houston and 5 years at USC, LA. He has published more than 243 technical papers, holds 94 US patents, and 115 worldwide patents. Dr. Samuel serves regularly as a keynote speaker at major conferences and corporate forums and is regarded as one of the world’s most influential contributors to advancement of research and practice in drilling engineering. He holds BS & MS degrees in mechanical engineering, and MS & PhD degrees in petroleum engineering from the University of Tulsa.
FAQ
DESIGNED FOR
Drilling engineers, well operations personnel, who would like to gain greater understanding of mud motor design and, their applications in drilling.
COURSE LEVEL
- Intermediate
LEARNING OBJECTIVES
After completing this course, participants will
- enable to understand the general techniques for real-time monitoring
- learn how to use algorithms to calibrate models in real-time
- investigate the ROP optimization, and the role of drilling parameters
- understand the alert mechanism
- understand the problems encountered for optimization during real-time operations
- also materials related to current technologies with real-world examples
REGISTER
Registration is now OPEN!
Ph.D. students, group and early bird registrants are eligible to DISCOUNT!
For more details and registration please send email to: register@petro-teach.com
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