A practical 4-week online course for geoscientists and energy professionals who want to understand and apply machine learning in geoscience.
Study online over four weeks, with only a few hours per week. This is not a full-time course, and it is designed for professionals already working full time. Through practical exercises, you will see how machine learning can be applied to real geoscience problems including fault detection, seismic classification, and acoustic impedance inversion.
Each week includes a Monday live session and a Friday review session, so you are supported throughout the course and not left to work through the material alone.
Learn
We explain the key ideas behind machine learning clearly and concisely, with a strong focus on what is useful in practice rather than unnecessary jargon.
You will learn the concepts you need to understand how machine learning can be applied to real geoscience problems, including reservoir characterisation through fault analysis, seismic attribute classification, and acoustic impedance inversion.
Apply
You will be guided through a series of carefully designed exercises, building your understanding step by step from the fundamentals to practical application.
As the course progresses, you will work with tools including Python, Scikit-learn, Keras, TensorFlow, Google Colab, and SHAARC, applying what you learn to real seismic problems.
No coding experience is required.
Frequently asked questions about MLIG™
What is MLIG™ – Machine Learning in Geoscience?
MLIG™ is a practical four-week online course from Pays International for geoscientists and energy professionals who want to understand and apply machine learning to real geoscience problems.
Who is MLIG™ for?
MLIG™ is designed for geologists, geophysicists, petroleum engineers and other subsurface professionals who want a clear, practical route into AI and machine learning.
Do I need coding experience?
No. The course is designed so that no prior coding experience is required. Python and machine learning concepts are introduced step by step.
Is MLIG™ a full-time course?
No. MLIG™ is a part-time online course requiring only a few hours per week, making it suitable for professionals already working full time.
What geoscience problems does MLIG™ cover?
The course applies machine learning to real geoscience workflows including fault detection, seismic classification, reservoir characterisation and acoustic impedance inversion.
What software and tools are used?
The course uses Python, Scikit-learn, Keras, TensorFlow, Google Colab and SHAARC.
How is MLIG™ different from a general AI course?
MLIG™ is not a generic AI course. It is built specifically around geoscience problems, seismic workflows and practical subsurface interpretation.
