This VILT course will equip participants with an understanding of:

• Fundamental concepts of Machine Learning and Deep Learning in O&G
• 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 for your practical application of ML/DL

This VILT course is designed for engineers, geologists, petrophysicists, geophysicists, and geoscientists – specifically, those involved with reservoir and production optimization in operating and service companies. The course is designed for those who want to apply reservoir description and data-driven modeling techniques for reservoir management. It is also for managers and supervisors who wish to update their skills to the technology’s current level. Oil & Gas professionals interested in understanding how to apply machine learning methods in their upstream projects and traditional workflows and who have some experience using Python in Jupyter Notebooks will find this VILT course beneficial.

1. Engineers & data scientists in Oil & Gas companies: operators & services
2. Technical professionals involved in upstream subsurface analysis & interpretation

This VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, with two breaks of 10 minutes per day.

Course Duration: 3 half-day sessions, 4 hours per session (12 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 opens the critical conversation of applying data-driven analytical models in three upstream areas. What are the standard soft-computing modeling practices in seismic data analysis, production optimization, and subsurface reservoir characterization? Day 1 also sheds light on data-driven approaches and helps participants decide when and how to get the most out of a digital transformation in O&G exploration.

Day 2 gets into the details and builds on the topics introduced on Day 1. Participants will go through an anonymized case study in each of the three areas: seismic analysis, production optimization, and subsurface reservoir characterization.

Day 3 will draw upon some advanced geophysical and petrophysical data-driven methodologies from the book ‘Enhance Oil & Gas Exploration with Data-driven Geophysical and Petrophysical Models,’ co-authored by your expert course leader. Participants will have the opportunity to run through some seismic images, reservoir characterization, seismic attributes analysis, and cover-well logs analysis to automate tops’ location and identify rock facies and fluid content.

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.