Statistics, Data Analysis & ML in Geology Using Python

Join our engaging workshop designed for geologists, researchers, and professionals to master Python for statistical analysis, data processing, and machine learning in geology. Learn to analyze geological datasets, create insightful visualizations, and apply machine learning models to solve real-world geological challenges. This workshop blends expert instruction with practical, hands-on exercises to elevate your data science skills in Earth sciences.
Workshop Objectives
Understand statistical methods for geological data analysis using Python.
Develop proficiency in processing and visualizing geological datasets.
Apply machine learning techniques to model geological phenomena.
Solve real-world geology problems using Python’s data science libraries.
Gain practical experience through hands-on, geology-focused projects.
About the Presenter
A highly accomplished geologist with expertise in structural geology, tectonics, and field mapping. He has a PhD in Geology from the University of Illinois at Urbana-Champaign and has held several teaching and research positions at prestigious universities in the United States. He is proficient in various geological software and programming languages, including Python, ArcGIS, and MATLAB. He has extensive experience in geological mapping, 3D modeling, and quantitative analysis of geological structures. He has also developed and taught several courses on Python programming for geoscientists.
Reservoir simulation & prediction
This workshop explores reservoir simulation techniques used to model underground oil and gas reservoirs and predict their future performance. Participants will learn how to build geological and reservoir models, run numerical simulations, and interpret results to optimize recovery strategies. The course covers history matching, sensitivity analysis, and forecasting under uncertainty to support efficient reservoir development planning.