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 us for an exclusive free live workshop on Oil & Gas Analytics and Dashboarding Using Spotfire. Designed for industry professionals, this hands-on session will guide you through the powerful capabilities of TIBCO Spotfire to analyze data and create insightful dashboards. Whether you're a beginner or an experienced user, this workshop will enhance your analytical skills and provide you with practical knowledge to optimize your operations.

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.

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.

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.

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.

The integration of data science with geoscience has become essential in today’s oil and gas industry, where large and complex datasets drive exploration and development decisions. This workshop equips geoscientists with practical Python skills for analyzing, interpreting, and visualizing earth science data. Participants will learn how to leverage Python’s versatile libraries to streamline workflows, enhance data accuracy, and improve the visualization of subsurface information. With direct application to geological datasets, the session bridges programming fundamentals with industry-relevant use cases, enabling participants to derive actionable insights from seismic, well log, and spatial data.