Master essential skills in Python, SQL, data analytics, machine learning, and MLOps. Gain hands-on experience and practical knowledge to effectively apply advanced data science techniques in the oil industry.
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Osama is a production technology engineer with 5+ years of experience and a keen interest in digital oilfields. He holds a master’s degree in machine learning applications within petroleum engineering and has authored three papers on the same topic.
Day#1: Python & SQL Basics
• Data Structure.
• Functions and Classes.
• Object Oriented Programming.
• Scripting.
• Common Python Libraries.
• SQL Expressions.
• Accessing databases with Python.
2.Day#2: Data Analytics in Python:
• Exploratory Data Analysis.
• Inferential Statistical Analysis.
• Visualization and Data Representation.
• Text Mining.
3.Day#3: Machine Learning with Python:
• Introduction to ML Applications in Petroleum Engineering.
• Supervised ML.
• Unsupervised ML.
4.Day#4: Deep Learning:
• Neural Networks.
• Computer Vision Applications.
• Large Language Models in Petroleum Engineering.
5. Day#5: MLOps:
• Experiment tracking.
• Orchestration.
• Deployment with Docker and Cloud.
• Monitoring.
The drilling fluid in the well is very similar to the blood in your body, you should test your blood and read your body messages for you and act accordingly to keep yourself healthy. Drilling fluid also send you messages about your well, you should understand your drilling fluid, know its functions, test its properties, and read your well messages to keep your well stable, safe, and efficiently perform your drilling process.
From primary raw general guidelines to detailed sophisticated modeling studies
A Comprehensive Nodal Analysis Theory and Practice
A comprehensive Online course covering most of the ESP best practices