Drilling Automation (DRL 342)
COURSE SCHEDULE
| Code | Date | Location | price (€)* |
|---|---|---|---|
| DRL 342 | 18 – 19 Nov 2026 | Online | 1320 |
| DRL 342 | 9 – 10 Sep 2026 | Stavanger | 1760 |
COURSE OVERVIEW
The energy sector continues to seek innovative methods to improve the profitability, safety, and quality of global projects. In the drilling domain, this includes the development of intelligent systems that effectively reverse engineer human decision-making processes and replicate the cognitive architecture of the driller’s brain. These systems integrate engineering formalism with real-time data interpretation, creating a dynamic link between mathematical models and physical well conditions. The result is enhanced situational awareness and more responsive, data-driven operational decisions.
This two-day intensive course is designed for participants who already possess a solid understanding of well design and/or well construction principles and have at least three years of relevant industry experience. The program builds on existing technical knowledge to introduce advanced concepts in intelligent drilling systems and decision-support technologies.
COURSE OUTLINE
2days
Day 1
oPractical applications AI and Machine Learning to optimize operations, enhance efficiency, and drive sustainable growth
o Trends, tools and applications
o Customer experience and management
oStages of general automation in other industries
oReal world problems
oDrilling automation
oPlanning: pre-engineering and training
oExecution: monitoring and operation
oLearning: Post job analysis and simulation
oTypes of drilling automation
oSurface system
oDownhole system
Subsurface system
Day 2
oMonitoring implementation
oOperation implementation
oSimulation implementation
oAutomated control of MPD operation
oHuman and autonomous system interaction
oHuman performance
oDesign
oTechnology
oRoadmap
oNeed for a Drilling Systems Automation Vision
oCrafting journey from strategy and capabilities to execution
oNeed to coordinate across industries
oDevelop a catalyst for standardization
oDrilling Risk Protection and Reducing Human Error through Automation
oCyber security, awareness, and standards
oHuman, social, and cultural impacts of automation
INSTRUCTOR
Dr.Robello Samuel
Dr.Robello Samuel is a Chief Technical Advisor and Senior Technology Fellow who has been with Halliburton since 1998. He began his career working on drilling rigs as a drilling engineer and has accumulated more than 40 years of industry experience. He currently serves as a research and engineering leader in well engineering, with broader expertise in cyber-physical systems and artificial engineering intelligence. He is a Distinguished Member of the Society of Petroleum Engineers (SPE), an SPE Distinguished Lecturer, and a recipient of both the SPE Gulf Coast Drilling Engineering Award and the SPE International Drilling Engineering Award. He is also an SPE/AIME Honorary Member.
In addition to his industry role, he has served as an adjunct professor for 18 years at the University of Houston and for 5 years at the University of Southern California (USC), Los Angeles. He has authored more than 243 technical papers and holds 94 U.S. patents and 115 international patents.
Dr. Samuel is a frequent keynote speaker at major industry conferences and corporate forums and is widely recognized as one of the leading contributors to the advancement of drilling engineering research and practice. He holds B.S. and M.S. degrees in Mechanical Engineering, as well as M.S. and Ph.D. degrees in Petroleum Engineering, all from the University of Tulsa.
FAQ
DESIGNED FOR
This course is intended for Managers, Well engineers and drilling supervisors who are responsible for planning and executing drilling and workover operations. Technical authority holders who are responsible for digital and automation initiatives.
COURSE LEVEL
Intermediate
LEARNING OBJECTIVES
Participants will be able to:
Have a practical understanding of artificial intelligence (AI) and its business applications by the end of the course, giving you the knowledge and assurance that the sector is prepared for transformation into a forward-thinking, effective, and sustainable business.
Provide the capacity to integrate critical AI management and leadership insights into the way your company runs in order to lead strategic decision-making with knowledge and improve business performance.
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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