ML and AI in Oil and Gas Industry Using Python


πŸ‘¨β€πŸ« Instructor: Mr. Nashaat Jumaa
πŸ”Ή Number of Lectures: 6 (3 per week)
πŸ”Ή Duration: Approximately 14 training hours
πŸ”Ή Projects: Practical applications and projects in the oil and gas field
πŸ”Ή Certificate: Includes serial number and barcode

πŸ”Έ Suitable For: Production, reservoir, and drilling engineers, geologists, and students
πŸ”Έ No prior Python knowledge required
πŸ”Έ Laptop with 64-bit system required

πŸ“˜ 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