Machine Learning For Oil and Gas Using Python

Join us for an immersive workshop tailored for professionals in the oil and gas industry seeking to leverage Python programming for enhanced efficiency and data-driven decision-making in production processes.


In this comprehensive workshop, participants will delve into Python's applications within the oil and gas sector, learning fundamental programming concepts and how they apply specifically to production tasks. Through hands-on exercises, attendees will explore data manipulation, visualization, and analysis techniques essential for optimizing production workflows. 

Workshop Objectives

Day 1: Regression Problems in Oil and Gas Industry

In day one the following topics will be covered.

• Introduction to python.

• Python as a tool for ML.

• Introduction to regression problems(prediction)

• Types of regression.

• Time Series Analysis.


Day 2: Classification and Clustering

In day 2 we will be taking a look at the possibilities and features of applying classifications algorithms to oil and gas data.

• Introduction to Clustering.

• Outlier detection with clustering.

• Using Clustering to group wells.

• Introduction to classification problems


About the Presenter

Nashat Jumaah Omar - 10+Years of Experience In Oil & Gas Industry

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