Well Engineering and Production > Data Analytics Workflows for Artificial Lift, Production and Facility Engineers – Virtual Instructor Led Training (VILT)

About this Virtual Instructor Led Training (VILT)

In this 3 half-day Virtual Instructor Led Training (VILT) course, 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 3 half 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.

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.


  • 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