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

Your Expert Course Instructor 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, methane emission reduction, and competency management. The trainer 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. The trainer 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”

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