This foundation workshop teaches you SPE PRMS, the oil and gas industry's standard system for classifying and reporting reserves. You'll learn why hydrocarbons in the ground aren't reserves, why every reserve must be tied to a real project, and how volumes move from discovered to commercial to booked. We use ultra-heavy oil field as a real-world case study to show how it all plays out.Built for engineers, geologists, and finance teams who work with reserves.

Learn how to apply data science and machine learning techniques to solve real-world reservoir and production engineering challenges using Python. This hands-on workshop is designed for oil and gas professionals looking to work smarter with their data.

This hands-on bootcamp is designed for petroleum engineers who want to move beyond theory and actually build reservoir engineering and well testing models from scratch — in Microsoft Excel. Over two intensive days, participants work through 10 real-world projects covering the full spectrum of reservoir characterisation and well performance analysis. No black boxes, no third-party software — every model is built cell by cell, so you understand exactly what's happening under the hood. Exclusively available to PEA Members.

Drilling generates huge amounts of data — but most of it sits unused. This hands-on workshop shows you how to turn that data into better decisions using Python and machine learning.Over the sessions, you'll work with real drilling datasets to build models that predict problems before they happen — stuck pipe, ROP optimization, bit wear, formation changes, and more. No heavy math theory. You write code, run it on actual data, and see the results.By the end, you'll have working Python scripts you can adapt to your own field data, plus a clear understanding of where ML adds value in drilling and where it doesn't.Built for drilling engineers, not data scientists. If you can read a drilling report, you can follow this course.

Take your skills further with deep learning and AI tools built for engineering applications. This workshop covers advanced techniques using Python, TensorFlow, and Keras — applied directly to reservoir and production problems.

This workshop focuses on applying reservoir engineering principles using Microsoft Excel to analyze and manage hydrocarbon reservoirs effectively. Participants will learn to perform key calculations, model reservoir behavior, and optimize recovery through practical Excel-based exercises, enhancing their ability to make data-driven decisions in reservoir management.

An exclusive three-day live masterclass designed for practicing petroleum engineers and reservoir specialists who want to go beyond textbook theory. Covering commercial maturity of reservoirs, environmental economics in oil & gas, and polymer flood diagnostics, this masterclass brings four decades of real field experience into your screen — in just 90 focused minutes a day. Available only to PEA Members.

This workshop focuses on applying artificial intelligence in full-field reservoir simulation to enhance prediction accuracy, optimize recovery strategies, and streamline reservoir management. Participants will learn how AI-driven modeling techniques complement conventional simulation workflows for faster decision-making and improved reservoir performance evaluation.

This workshop provides a comprehensive view of the LNG value chain, from upstream production and liquefaction to shipping, regasification, and end-user markets. Participants will explore the operational risks at each stage, including safety, environmental, financial, and technical challenges, and learn strategies to effectively assess, mitigate, and manage these risks in a dynamic global LNG industry.