| Code | Date | Format | Currency | Team of 10 Per Person* |
Team of 7 Per Person* |
Early Bird Fee Per Person |
Normal Fee Per Person |
|---|---|---|---|---|---|---|---|
| PE1867 | 22 - 23 Aug 2024 | Kuala Lumpur, Malaysia | SGD | 3,353 | 3,509 | 3,699 | 3,899 |
| PE1867 | 22 - 23 Aug 2024 | Kuala Lumpur, Malaysia | USD | 2,321 | 2,429 | 2,499 | 2,699 |
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format
Learn in teams and save more! Enjoy group discounts of up to 50% off normal fees for team based learning. Contact us on [email protected] to learn more today!
Code
PE1867Date
22 - 23 Aug 2024Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
3,353
Team of 7
Per Person*
3,509
Early Bird Fee
Per Person
3,699
Normal Fee
Per Person
3,899
Code
PE1867Date
22 - 23 Aug 2024Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
2,321
Team of 7
Per Person*
2,429
Early Bird Fee
Per Person
2,499
Normal Fee
Per Person
2,699
*Fee per person in a team of 7 or 10 participating from the same organisation, registering 6 weeks before the course dateRequest for a quote if you have different team sizes, content customisation, alternative dates or course timing requirements Request for in-person classroom training or online (VILT) training format
About this Training
The energy sector has persisted in looking for methods to raise their global projects’ profitability, safety, and quality. Drilling automation and real-time applications both offer cutting edge solutions needed to make sophisticated oil and gas well plans both technically and financially possible. It is not just drilling ahead but with data, machine learning (ML), artificial intelligence (AI), automation and people converging to autonomics making the physical drilling system in self-configuring, self-diagnosis, self-healing, self-optimizing and self-managing state. The drilling world will work on reverse engineering the brain and the computer architecture mimicking the driller’s brain’s network. It consists of engineering formalism, plus interpretation of data and thus providing the reaction link between the mathematical formulation and elements of the physical world.
This 2 full-day course explores real-world applications of automation, types of automated drilling systems, monitoring & control techniques, simulation implementation, and more. Attendees will gain insights into developing a strategic roadmap to integrate automation, including human-machine interaction considerations.
Upon completion of this course, participants will be able to:
- Understand practical applications of AI and ML for optimizing drilling operations and efficiency
- Learn different types of drilling automation including surface, downhole and subsurface systems
- Master monitoring, control and simulation techniques to enable autonomous operations
- Gain insights into human-machine collaboration and developing a drilling automation strategy
- Discover approaches to manage risks, enhance cybersecurity and address cultural impacts
This course is designed for professionals who are responsible for planning and executing drilling and workover operations. This course is intended for participants who already have a sound understanding of the principles of the design and/or construction of wells and with more than 3 years of relevant industry experience.
- Drilling or well engineers involved in planning and executing drilling operations.
- Drilling project managers and leaders overseeing drilling projects and operations.
- Drilling automation engineers responsible for developing automation software/hardware.
- Well operation engineers and managers overseeing drilling operations.
- Digital transformation leaders tasked with digital and automation initiatives.
- Well planning engineers and managers who plan drilling operations.
- Intermediate
Your expert course leader has been a Chief Technical Advisor and is currently a Senior Technology Fellow in the Drilling Division of Halliburton, working with Halliburton since 1998. He is presently a research and engineering lead for well engineering and broader area of cyber-physical systems, artificial engineering intelligence and sustainability. He is regarded as one of the world’s most influential contributors to advancement of research and practice in drilling engineering. He is the recipient of several awards including the Gulf Coast SPE Drilling Engineering Award, SPE International Drilling Engineering Award, SPE Distinguished Membership Award and the Distinguished Lecturer award and SPE Honorary award from the SPE. He has published more than 240 technical papers, holds 85 US patents and 150 worldwide patents.
To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information post training support and fees applicable
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