Integrated Python and Machine Learning

This course equips participants with practical knowledge of digital transformation in the oil and gas industry and the effective use of Python for data-driven workflows. Participants will learn to handle, analyze, and visualize well log data, apply Python to real subsurface applications such as outlier detection and cement volume estimation, and gain an introduction to machine learning for tasks including missing data prediction, lithology identification, and forecasting. The course focuses on hands-on, industry-relevant skills that can be directly applied in professional practice.

• Digital Transformation & Python Overview.

• Python Basics and Petrophysical Analysis.

• Python Applications in the Oil and Gas Industry.

• Machine Learning Overview, Models, and Application.