This VILT course will equip participants with an understanding of:

• Fundamental concepts of Machine Learning and Deep Learning in Oil & Gas
• Machine Learning workflow and how to implement the steps effectively
• The role of performance metrics and how to identify their essential methods
• Upstream Case Studies with data and Python Notebooks to KO your practical application of ML/DL

This VILT course is designed for specifically for those involved with reservoir, completion, and production in operating and service companies. In general, those involved in planning, completion, and operation in assets are an essential target audience. Also, it will benefit oil and gas professionals interested in understanding how to apply machine learning methods in their upstream projects and traditional workflows and have some experience in using Python in Jupyter Notebooks.

This VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with two breaks of 10 minutes per day.

Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total)

Your expert trainer started off his career in the oil & gas industry as a geophysicist, involved in processing and interpreting seismic data. While in the oil & gas industry, he was previously working with PGS, Petroleum Development Oman (PDO), ARCO and BP. He later moved into software development with SAS Institute, Inc. He has been involved in upstream Oil & Gas data driven model building across Exploration and Production for over 10 years. He is currently developing business strategies to establish Analytical Centres of Excellence and data management architectures across the Oil and Gas industry. He holds a Degree in Geology and Mathematics as well as a Master’s Degree Geophysics and Seismology from Durham University, England, UK. He currently holds 2 patents that have been issued out in 15 countries.

Day 1 will shed light on the data-driven approaches and help participants decide when and how to get the most out of a digital transformation to optimize production forecasts.

Day 2 will get into the details of what was covered in Day 1. Participants will go through five anonymized case studies that implement time-series analysis to optimize production forecasting.

The Oil &Gas industry is late to the digital transformation but Day 2 will lift the veil on successful applications. Participants will see where operators have operationalized Machine Learning (ML) and Deep Learning (DL) for business value, enabling geoscientists to become data scientists and accelerate their insights for enhanced productivity.

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 about post training coaching support and fees applicable for this.