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.

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