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The Reservoir Simulation and Performance Evaluation in London is a specialized training course that equips professionals with techniques to model reservoir behavior and assess production performance.

London

Fees: 5900
From: 06-04-2026
To: 10-04-2026

London

Fees: 5900
From: 21-09-2026
To: 25-09-2026

London

Fees: 5900
From: 19-10-2026
To: 23-10-2026

Reservoir Simulation and Performance Evaluation

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.

Reservoir Simulation and Performance Evaluation

The Reservoir Simulation and Performance Evaluation Training Courses in London provide professionals with a comprehensive and advanced understanding of how to model, analyze, and optimize hydrocarbon reservoirs throughout their lifecycle. Designed for reservoir engineers, geoscientists, production specialists, and energy project managers, these programs explore the technical and analytical tools used to evaluate reservoir behavior, forecast production, and support strategic decision-making in subsurface development. Participants gain hands-on experience in applying simulation models that enhance reservoir performance and maximize resource recovery.

The courses cover essential principles of reservoir simulation, including numerical modeling, fluid flow dynamics, rock–fluid interactions, and history matching techniques. Participants learn to construct geological models, integrate well data, and run simulation scenarios that evaluate reservoir responses under various development strategies. Case studies and practical exercises enable attendees to interpret simulation outputs, assess uncertainties, and optimize well placement, production planning, and reservoir management strategies.

These reservoir performance evaluation training programs in London also emphasize the importance of integrating multidisciplinary data and advanced technologies. Key topics include pressure-transient analysis, decline curve modeling, enhanced oil recovery (EOR) evaluation, and the application of digital tools such as machine learning and automated analytics in reservoir forecasting. The curriculum highlights the role of performance monitoring, field surveillance, and continuous evaluation in sustaining reservoir productivity.

Attending these training courses in London provides significant value, as the city is a global hub for energy innovation, engineering expertise, and professional development. The diverse learning environment encourages knowledge sharing and exposure to best practices in reservoir engineering and subsurface analysis. Upon completing this specialization, professionals are equipped to design robust reservoir management strategies, improve forecasting accuracy, and contribute to efficient and sustainable resource development across energy operations.