The Applied Machine Learning for Geology and Geophysics workshop is a two-day, hands-on event designed to introduce participants to the practical application of machine learning (ML) in geoscience. Led by industry expert Sami Elkurdy, the workshop combines theoretical knowledge with live demonstrations using Jupyter notebooks. Attendees will explore ML techniques for analyzing well logs and seismic data (SEG-Y), gaining insights into model selection, strengths, and limitations. No prior Python experience is required—the workshop starts with programming basics and encourages active participation through code execution and customization.

A 2-day workshop designed for reservoir engineers, geoscientists, data analysts, and managers in Exploration & Production (E&P). Learn AI's transformative role in the upstream lifecycle through case studies, hands-on Python/ML demos, and interactive discussions on adoption strategies.

Join our hands-on workshop on MATLAB for Earth Sciences, designed to empower researchers, students, and professionals with powerful computational tools for analyzing and visualizing Earth data. Learn to leverage MATLAB’s robust capabilities for geospatial analysis, data modeling, and simulation to tackle real-world challenges in geology, meteorology, oceanography, and environmental science. This workshop combines expert-led instruction with practical exercises to enhance your skills in data processing and interpretation.

Join us for an immersive, hands-on workshop designed to equip you with the skills and confidence to master directional well planning for Extended Reach Drilling (ERD) wells. Over two days, with 1.5 hours each day, you'll engage in software-based learning, working step-by-step alongside an expert instructor.

Supercharge your oil and gas expertise with our Power BI Workshop! Unleash the potential of your data, create interactive dashboards, and make informed decisions. Join industry peers for hands-on training and advanced analytics. Elevate your career—register now for the exclusive workshop designed specifically for oil and gas professionals!

This workshop introduces the core concepts of deep learning through the lens of oil and gas operations. Participants will gain foundational knowledge of artificial neural networks (ANNs), model architectures, and training strategies, and apply them to real-world datasets using Python and open-source libraries such as TensorFlow and Keras.

Join Our Free Live Workshop: Exploring the Future of Energy Mix and Reducing Carbon Footprint through Multiphase Flow ModelingWe invite you to be a part of our exclusive live workshop dedicated to unraveling the pivotal role of multiphase flow modeling in shaping the future of our energy landscape and curbing carbon emissions. In this engaging session, industry experts, scientists, and visionaries will come together to share profound insights, innovative solutions, and practical approaches that can pave the way towards a more sustainable and eco-friendly future.

Join our 2-day free workshop on Applied Machine Learning and Data Science for Reservoir Engineering, designed to equip participants with cutting-edge skills in Python-driven data analysis and predictive modeling for reservoir optimization.

During this workshop, participants will develop a more comprehensive grasp of the geophysical theory of seismic inversion and explore advanced seismic reservoir characterization techniques. Discover the essential steps in the seismic reservoir characterization workflow using machine learning, covering data processing to inversion analysis. Acquire valuable knowledge applicable to your everyday projects.In classical reservoir characterization, it is commonly assumed that the reservoir exhibits both elastic and hydraulic isotropy. However, real reservoirs often exhibit anisotropic characteristics and spatial heterogeneity on multiple scales. Relying solely on core and log data may not accurately represent the larger reservoir volume. Therefore, the most effective way to accurately analyze the physical properties of most actual reservoirs, across their entire volume, involves utilizing advanced machine learning methods for acquired and interpreted seismic data.