Course Overview
Accurate reservoir simulation is essential for predicting performance, planning field development, and optimizing hydrocarbon recovery. This Reservoir Simulation and Performance Evaluation Training Course equips participants with the knowledge to build and analyze static and dynamic models, apply numerical simulation techniques, and evaluate reservoir performance using field data.
Participants will explore material balance methods, decline curve analysis, pressure transient testing, and modern simulation software applications. Case studies will illustrate how simulation results drive key investment and operational decisions in oil and gas projects.
By the end of the course, participants will be able to design and interpret reservoir models, evaluate production strategies, and apply performance evaluation methods to maximize efficiency and recovery.
Course Benefits
Strengthen skills in building and analyzing reservoir models.
Learn material balance, decline curve, and pressure analysis methods.
Apply numerical simulation for production forecasting.
Improve decision-making with performance evaluation tools.
Optimize reservoir management and hydrocarbon recovery.
Course Objectives
Understand fundamentals of reservoir simulation.
Build and calibrate static and dynamic models.
Apply material balance and decline curve analysis.
Evaluate well test and pressure transient data.
Use numerical simulation for field development planning.
Assess production strategies through performance evaluation.
Integrate simulation results into decision-making processes.
Training Methodology
The course combines expert lectures, simulation workshops, case studies, and hands-on exercises. Participants will work with real-world data and simulation scenarios to enhance applied skills.
Target Audience
Reservoir and petroleum engineers.
Field development planners.
Production engineers and geoscientists.
Technical managers in oil and gas companies.
Target Competencies
Reservoir simulation and modeling.
Performance evaluation techniques.
Numerical analysis and forecasting.
Reservoir management and optimization.
Course Outline
Unit 1: Fundamentals of Reservoir Simulation
Principles of static and dynamic reservoir modeling.
Reservoir rock and fluid properties.
Governing equations for fluid flow.
Introduction to simulation software.
Unit 2: Material Balance and Decline Curve Analysis
Applying material balance equations.
Types of decline curve models.
Estimating reserves and recovery factors.
Case studies in performance forecasting.
Unit 3: Well Testing and Pressure Transient Analysis
Principles of well test design and interpretation.
Pressure build-up and drawdown tests.
Analysis of transient pressure data.
Applications in reservoir performance evaluation.
Unit 4: Numerical Simulation and Forecasting
Numerical modeling approaches and workflows.
Calibration and history matching.
Forecasting production under different scenarios.
Using simulation for development planning.
Unit 5: Integrating Simulation and Performance Evaluation
Combining simulation with field data analysis.
Evaluating production optimization strategies.
Risk and uncertainty in reservoir simulation.
Decision-making with integrated models.
Unit 6: Advanced Applications in Reservoir Simulation
Simulation of unconventional reservoirs.
EOR simulation techniques.
Multiphase flow modeling.
Use of AI and digital tools in reservoir forecasting.
Unit 7: Case Studies and Best Practices
Real-world examples of simulation applications.
Lessons learned from performance evaluation.
Benchmarking global practices in reservoir studies.
Building sustainable reservoir management strategies.
Ready to enhance your reservoir modeling and evaluation expertise?
Join the Reservoir Simulation and Performance Evaluation Training Course with EuroQuest International Training and gain the skills to optimize hydrocarbon recovery.
The Reservoir Simulation and Performance Evaluation Training Courses in Cairo provide professionals with advanced knowledge and practical techniques for analyzing reservoir behavior, forecasting production performance, and supporting strategic decision-making in oil and gas field development. These programs are designed for reservoir engineers, geoscientists, production specialists, and energy-sector managers who seek to enhance their technical capabilities in modeling, data interpretation, and reservoir performance optimization.
Participants gain a deep understanding of reservoir simulation methodologies, learning how to construct static and dynamic models that accurately represent subsurface characteristics. The courses explore core concepts such as fluid flow in porous media, pressure behavior, relative permeability, and reservoir heterogeneity. Through simulation exercises and real-world case analyses, participants learn to calibrate models, validate forecasts, and evaluate scenarios that support long-term recovery planning and operational efficiency.
These performance evaluation training programs in Cairo also focus on modern tools and software platforms used to simulate reservoir behavior under various development strategies. Participants examine how to incorporate well test data, production history, seismic inputs, and petrophysical properties into integrated reservoir models. The curriculum emphasizes sensitivity analysis, uncertainty assessment, and field development optimization to enhance reservoir understanding and improve recovery outcomes.
Attending these training courses in Cairo provides a collaborative environment enriched by the city’s strong role in the regional oil and gas industry. Participants have opportunities to engage with experienced instructors and peers from different technical and operational backgrounds, promoting knowledge exchange and practical insight. By completing this specialization, professionals emerge equipped to apply reservoir simulation techniques confidently, evaluate reservoir performance effectively, and contribute to informed decision-making that supports stable production, resource efficiency, and long-term asset value in competitive energy markets.