Digitalization in the industry

What is data-analytics

Data-analytics in oil and gas

Physically explainable data-analytics

Physics-based modelling

Basics of machine learning

Different algorithms

ML use cases for oil and gas

ML workflow

Model evaluation

:Abstract

In recent years, artificial intelligence/data-driven methods have become very popular in various industries, and petroleum and energy engineering are no exception. Data-driven approaches are becoming more common for estimating various rock and fluid properties that would otherwise require complex models and sophisticated experimental apparatus. In this short course, various aspects of application of data-analytics to oil and gas industry will be investigated. Moreover, a case study will be conducted, and the results will be discussed.