Applied Machine Learning and Data Science for Production Engineering
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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
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Applied Dynamic Well Modeling & Simulation
This advanced workshop dives into dynamic well modeling and simulation techniques to optimize oil and gas well performance under transient flow conditions. Participants will learn to predict, diagnose, and mitigate operational challenges using state-of-the-art numerical models and real-time data integration.Key Topics:Fundamentals of Dynamic Well ModelingApplications in Drilling & ProductionAdvanced Tools & Case Studies