About the Workshop
Machine Learning is an increasingly important tool for geoscientists. This one-day workshop demonstrates the implementation of a tailored End-to-End Upstream E & P workflow solution using Machine Learning (ML). It is intended for basic to intermediate skill levels.
Designed to provide a baseline overview of ML, this hands-on workshop will focus on the generation of synthetic Gamma-Ray Logs by applying Artificial Intelligence (AI) Techniques.
The student will learn the various aspects of deploying this workflow in an end-to-end solution. The workshop is designed to provide an appreciation of what is possible through machine learning and to spur thought about how this evolving tool can be otherwise applied.
Why Attend this Workshop
A) Learn how to:
• Identify use case and pain points
• Identify and collect the relevant data
• Build/train & test the ML model using Python
• Validate the model results by Domain Experts
• Build the solution and operationalize it
B) Watch a demo of a working end-to-end Machine Learning solution
C) Engage in an open discussion with like-minded professionals
D) Earn 8 APEGA CPD Credits
E) Network with peers and colleagues from the geoscience community
About the Instructor:
Sunil Garg is the founder and CEO of dataVediK, an early stage startup specializing in Consulting, Big Data, Data Analytics, Machine Learning and end-to-end Data Ecosystems for Oil & Gas industry. Prior to this, Sunil spent 20+ years establishing and growing Data Management, Big Data and Analytics business for Schlumberger. Sunil is a sought-after speaker at various industry conferences and also conducts Big Data, Machine Learning and Blockchain trainings for the Industry, the Government and the Academia.