ML and AI in Oil and Gas Industry Using Python
π¨βπ« Instructor: Mr. Nashaat Jumaa
πΉ Number of Lectures: 6 (3 per week)
πΉ Duration: Approximately 14 training hours
πΉ Projects: Practical applications and projects in the oil and gas field
πΉ Certificate: Includes serial number and barcode
πΈ Suitable For: Production, reservoir, and drilling engineers, geologists, and students
πΈ No prior Python knowledge required
πΈ Laptop with 64-bit system required
π Course Content:
Introduction to Python and its integrated environment, with a focus on data analysis fundamentals in engineering and petroleum contexts
Importing, cleaning, and exploring data from Excel and LAS files, and handling various data types
Automating engineering calculations and integrating Python with Excel for efficiency and result analysis
Analyzing production data from conventional and unconventional wells, and diagnosing water production issues
Modeling relationships between wells and equipment, and creating high-quality interactive dashboards and visualizations
Analyzing petrophysical data and monitoring reservoirs using Python programming
A comprehensive introduction to Artificial Intelligence and Machine Learning: classification, clustering, prediction, and anomaly detection in operational data

