Code | Date | Format | Currency | Team of 10 Per Person* |
Team of 7 Per Person* |
Early Bird Fee Per Person |
Normal Fee Per Person |
---|---|---|---|---|---|---|---|
PE1987 | 24 - 25 Sep 2025 | Kuala Lumpur, Malaysia | SGD | 2,837 | 2,969 | 3,099 | 3,299 |
PE1987 | 24 - 25 Sep 2025 | Kuala Lumpur, Malaysia | USD | 2,235 | 2,339 | 2,399 | 2,599 |
*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
PE1987Date
24 - 25 Sep 2025Format
Kuala Lumpur, MalaysiaCurrency
SGDTeam of 10
Per Person*
2,837
Team of 7
Per Person*
2,969
Early Bird Fee
Per Person
3,099
Normal Fee
Per Person
3,299
Code
PE1987Date
24 - 25 Sep 2025Format
Kuala Lumpur, MalaysiaCurrency
USDTeam of 10
Per Person*
2,235
Team of 7
Per Person*
2,339
Early Bird Fee
Per Person
2,399
Normal Fee
Per Person
2,599
*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 course
Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.
Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles.
Unique Features:
- Eight business use cases covering their business impact, code walkthroughs for most all and solution approach.
- Industry data sets for participants to practice on and take home.
- No software or complicated Python frameworks required.
After the completion of this training course, participants will be able to:
- Understand digital oil field transformation and its impact on business
- Examine machine learning methods
- Review workflows and code implementations
- After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models
This training course is suitable and will greatly benefit the following specific groups:
- Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets
- Intermediate
- Advanced
The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution.
Course Duration: 2 days in total (14 hours).
Training Schedule
0830 – Registration 0900 – Start of training 1030 – Morning Break 1045 – Training recommences 1230 – Lunch Break 1330 – Training recommences 1515 – Evening break 1530 – Training recommences 1700 – End of Training
The maximum number of participants allowed for this training course is 20.
This course is also available through our Virtual Instructor Led Training (VILT) format.
Prerequisites:
- Understanding of petroleum production concepts
- Knowledge of Python is not a must but preferred to get the full benefit.
- The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises
- Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free)
Your expert course leader has over 35 years’ work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor’s and Master’s in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.
Highlighted Work Experience:
- At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS – a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.
- Worked with and consulted on equipment’s like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.
- Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.
- Developed a workshop on digital oilfield approaches for production engineers.
Patents:
- Principal inventor: “Smarter Slug Flow Conditioning and Control”
- Co-inventor: “Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells”
- Co-inventor: “Wellbore real-time monitoring and analysis of fracture contribution”
Worldwide Experience in Training / Seminar / Workshop Deliveries:
- Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston.
- He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
- Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.
- Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.
- Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.
Unlock the potential of your workforce with customized in-house training programs designed specifically for the energy sector. Our tailored, in-house courses not only enhance employee skills and engagement but also offer significant cost savings by eliminating travel expenses. Invest in your team’s success and achieve specific outcomes aligned with your organization’s goals through our expert training solutions. Request for further information regarding our on-site or in-house training opportunities.
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
Learn what past participants have said about EnergyEdge training courses
One of the best instructors. Very knowledgeable and professional, kind, funny and very understandable. Thank you very much.
Senior Petroleum Engineer, Kuwait Oil Company
Highly recommended course for all Petroleum Engineers, really helpful for myself with less than 5 years in the role. Very applicable in my daily work and also fill in the technical gaps that I have in the understanding of gas lift.
Petroleum Engineer, Petrofac
The trainer was excellent, extremely professional & knowledgeable. I can confidently say that I have closed some gaps from the GL technical point of view.