The Reservoir Simulation and Performance Evaluation course in Madrid is a comprehensive training course designed to help professionals optimize reservoir performance through advanced simulation and evaluation techniques.
From:
20-07-2026
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 Madrid provide professionals with an advanced and practical understanding of how digital modeling and analytical techniques can be applied to predict reservoir behavior, optimize production strategies, and support long-term field development planning. As subsurface environments grow increasingly complex and data-driven decision-making becomes essential, reservoir simulation has become a critical tool for engineers and technical specialists working across the oil and gas value chain. These programs are designed for reservoir engineers, geoscientists, production specialists, and project leaders seeking to enhance their technical expertise and improve reservoir management outcomes.
Participants explore the foundational principles of reservoir simulation, including data integration, model construction, grid generation, fluid-flow representation, and history matching. The courses highlight how computational models are used to evaluate reservoir performance under various operational scenarios, assess uncertainties, and support strategic planning. Through hands-on simulation exercises and real-world case studies, attendees learn to interpret simulation outputs, validate model accuracy, and apply forecasting techniques that inform well planning, production optimization, and recovery strategies.
These reservoir performance evaluation training programs in Madrid also examine key performance indicators, decline analysis methods, material balance approaches, and diagnostic tools used to assess reservoir behavior throughout the production lifecycle. Participants gain insights into integrating simulation results with economic evaluations, field development plans, and enhanced recovery initiatives. The curriculum ensures a balance between theoretical understanding and practical application, enabling professionals to make informed, data-driven decisions in complex reservoir environments.
Attending these training courses in Madrid provides participants with access to expert instructors, advanced simulation methodologies, and a collaborative international learning environment. The city’s strong energy and research networks support rich discussions on innovation, subsurface challenges, and emerging digital technologies. By completing this specialization, participants will be equipped to build robust reservoir models, evaluate performance effectively, and contribute to optimized field development strategies in the modern energy sector.