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
Applied Python for Oil and Gas Industry
This intensive three-day workshop equips oil and gas professionals with hands-on Python programming skills for industry applications. Participants learn why Python is becoming the future tool for oilfield workflows due to its unmatched flexibility and versatility. The training covers Python fundamentals, data analysis, visualization, and automation relevant to reservoir, production, drilling, and subsurface engineering, using practical workflows and real datasets. No prior Python experience is required, though oil & gas industry knowledge is helpful.