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PRO 517

Realtime Well Engineering: Optimization, Operations Monitoring

The four-day intense realtime drilling operations course covers most of the basic/advanced engineering and concepts that can be used in realtime for monitoring. The goal is to provide the participants with a solid understanding of the dynamic optimization principles, as well as the analytical and quantitative methods necessary for real time operation monitoring.

COURSE SCHEDULE

Code Date Location price (€)*
PRO 517 4 – 6 Nov 2025 Online 1390
PRO 517 2 – 4 Sep 2025 Stavanger 2990

* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!

COURSE OVERVIEW

Topics will include techniques of optimization, basic concepts, different optimization methods, hydraulic optimization, different nozzle selection criteria, diamond and roller cone bit weight on bit, rotary speed drilling optimization, hydraulic optimization with special downhole tools, well cost estimation, minimum cost casing design. This course envisages studying algorithms and optimization techniques used in the various stages of drilling and well completion operations. The course will also focus on presenting different optimization methods and expose the participants to variety of problems and solve them successfully. This course also focuses on the latest modeling approaches based on data-driven modeling, machine learning, AI with real-world problems. This course will have practical hands-on class exercises to solve complex problems in practical terms. The course finishes with the team project presentation based on the problem assigned at the start of the class.

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

REQUEST IN HOUSE

Would you like a PetroTeach training course delivered at a time or location to suit you? 

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