Applied Python Programming for Geology and Geosciences Solutions
This workshop introduces geologists and geoscientists to Python programming tailored for their field. Participants will learn how to use Python for data analysis, visualization, geospatial applications, and numerical modeling relevant to geology and geosciences. The course covers practical skills to automate workflows, interpret large datasets, and create 3D geological models, empowering professionals to enhance their research and decision-making capabilities.
Workshop Objectives
To equip participants with essential Python programming skills for geology and geosciences, enabling them to efficiently analyze geological data, develop visualizations, automate repetitive tasks, and apply computational models to solve real-world geoscience problems with confidence and precision.
About the Presenter
A highly accomplished geologist 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.
Applied Machine Learning for Upstream and Subsurface Domains
This two-day hands-on workshop is designed for petroleum and subsurface professionals seeking practical skills in machine learning for upstream oil & gas operations. The program teaches participants how to apply machine learning to uncover patterns in production and reservoir data, discover equations from historical relationships, and build predictive models for vital engineering parameters. Real-world datasets from drilling and subsurface domains are used, focusing on automating reports, visualizing data, and interpreting model outputs for improved decision-making.