Deep Learning, Scientific Machine Learning and AI for Reservoir & Production Engineering is an advanced workshop designed for petroleum professionals who want to explore modern AI-driven methods for solving complex subsurface problems. The workshop focuses on the practical use of deep learning, scientific machine learning, and artificial intelligence in reservoir and production engineering workflows, with emphasis on real-world engineering applications rather than theory alone.Participants will gain exposure to how these methods can be used to improve prediction, accelerate analysis, and support better engineering decisions across areas such as reservoir characterization, production forecasting, and workflow automation. The workshop is structured to help attendees understand where AI adds value in oil and gas operations and how it can complement engineering judgment in subsurface applications.All content in this session is copyrighted by Mr. Nashat. Access to recordings, slides, and the Excel workbook is provided exclusively through this platform. Any unauthorized use, reproduction, or distribution outside the portal is strictly prohibited and may result in legal action under applicable laws.Recordings, data sets, and certificates will be provided within one business day after the event is completed.

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.

This workshop introduces the key concepts and techniques of well intervention operations used to maintain and enhance oil and gas well performance. Participants will learn about various intervention methods, equipment, and safety practices essential for effective well maintenance and production optimization.

Most production engineering calculations don't need expensive software — they need Excel used well. This live 2-hour beginner workshop shows you how to build the core tools of well performance analysis directly in a spreadsheet. You'll create working models for inflow performance, nodal analysis, and decline curves from scratch, using nothing but Microsoft Excel — so you understand what's happening under the hood instead of treating commercial software as a black box.

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.

Petrophysics sits at the center of every subsurface decision — but it only delivers value when it's properly integrated with geology, reservoir engineering, and drilling. This 4-hour live workshop takes you through the full petrophysics workflow: from how data is acquired downhole, to how logs and core are evaluated, to how petrophysical inputs feed into reservoir models. You'll learn how a petrophysicist actually works inside a subsurface team — what data to trust, how to handle uncertainty, and how to turn raw measurements into decisions that hold up. Whether you're a geoscientist, reservoir engineer, or early-career petrophysicist, you'll leave with a clear picture of how the discipline works end to end.

Steady-state nodal analysis is still the core tool for understanding how a well's inflow and outflow behave together. But getting real value out of software like PIPESIM or PROSPER takes more than knowing the interface — you need a solid grip on multiphase flow correlations, fluid modeling, and where the bottlenecks in your system actually sit.In this hands-on workshop, Nashat Jumaah Omar walks you step by step through building, calibrating, and optimizing production systems, and shows you how to construct nodal plots to diagnose and optimize flow from oil and gas wells.

Material balance is one of the most direct methods available to a reservoir engineer for estimating hydrocarbons in place, identifying the drive mechanism and forecasting reservoir performance. It requires far less data than a full numerical model, and when it is set up correctly it produces results that can be defended in technical reviews and reserve audits.This workshop covers the complete material balance workflow as it is applied on producing assets. It begins by placing the reservoir within the integrated production system, then moves through data preparation and quality control, tank model construction, drive mechanism identification, and the use of analytical and graphical diagnostic tools. Participants work through the classical diagnostic plots, including Dake and Campbell, and learn how to read what each plot indicates about depletion, gas cap expansion and water influx.The second part of the workshop addresses history matching using both analytical and graphical techniques, determination of STOIIP, aquifer identification and sizing, and running prediction cases to generate production forecasts and recovery estimates. Results are compared against volumetric and simulation-based estimates so that participants understand where material balance is reliable and where a numerical model becomes necessary.The workshop is delivered at an advanced level and is intended for engineers who already work with production and pressure data and want a structured, repeatable method for in-place volumes, drive mechanism evaluation and performance prediction.

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.