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
ML Application for Drilling Engineering Using Python
Join us for an exclusive free live workshop on Machine Learning Applications for Drilling Engineering Using Python, led by Dr. Behzad Elahifar, Associate Professor at NTNU's Department of Geoscience and Petroleum Engineering.This session will explore the transformative power of machine learning in optimizing drilling operations, analyzing complex datasets, and enhancing decision-making processes.