Applied Machine Learning and Data Science for Production Engineering
Join us for an immersive workshop tailored for professionals in the oil and gas industry to understand how machine learning can be implemented in production engineering and production monitoring domain 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 Production Domain Data
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.
Hands on project on Regression Analysis
Day 2: Classification on Production Data
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 Classification.
Introduction to Decision tree
Introduction to Labeled Data
Hands on Project on Classification
About the Presenter
Mr. Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
Oil and Gas Data Management and Dashboarding using SQL, NoSQL, Power BI and Python
This 2-day intensive workshop is designed for the oil and gas industry, focusing on transforming operations with data management and real-time visualization tools. Participants will learn practical workflows for managing, querying, and visualizing oilfield data using SQL, NoSQL, Power BI, and Python. The course features hands-on demonstrations and real-world examples to build data pipelines, connect databases, and design dashboards tailored for engineering and operational excellence in oil & gas.