Reservoir simulation is a critical tool for predicting hydrocarbon recovery, optimizing production strategies, and supporting long-term field development. Petrel RE offers an integrated platform that enables professionals to combine geological models, production history, and laboratory data such as PVT and SCAL into comprehensive simulation workflows. This training course focuses on hands-on application of Petrel RE, guiding participants through model initialization, history matching, and production forecasting to improve reservoir performance and decision-making.

Participants will develop practical skills in using Petrel RE to align static and dynamic models, calibrate simulations against observed production data, and explore multiple forecasting scenarios. The course emphasizes best practices for handling uncertainties, integrating real field data, and translating simulation outputs into actionable strategies. By the end of the training, attendees will be capable of conducting robust simulation studies and providing valuable insights for enhanced reservoir management and recovery optimization.

Duration: 10 Days

Target Audience

• Reservoir engineers
• Petroleum engineers
• Simulation specialists
• Geoscientists and geologists
• Petrophysicists
• Production engineers
• Oil and gas consultants
• Data scientists in reservoir modeling
• Field development planners
• PVT/SCAL laboratory analysts
• Graduate students in petroleum engineering

Objectives

• Understand Petrel RE workflows for reservoir simulation
• Integrate static reservoir models with dynamic simulation
• Apply PVT and SCAL data for model calibration
• Perform initialization of simulation models
• Conduct history matching using field production data
• Identify uncertainties in simulation workflows
• Generate production forecasts under multiple scenarios
• Evaluate secondary and tertiary recovery options
• Translate simulation insights into development strategies
• Improve decision-making in reservoir management
• Develop reporting and visualization skills in Petrel RE
• Apply best practices in simulation for enhanced recovery

Course Modules

Module 1: Introduction to Petrel RE Simulation

• Overview of Petrel RE capabilities
• Role of reservoir simulation in field development
• Linking static and dynamic workflows
• Integration of multidisciplinary data
• Case studies in simulation

Module 2: Preparing Static Models for Simulation

• Upscaling of geological models
• Grid preparation and coarsening techniques
• Defining fluid contacts and boundaries
• Assigning rock and fluid properties
• Validating static-to-dynamic integration

Module 3: PVT and SCAL Data Integration

• Role of PVT data in simulations
• SCAL data for relative permeability and capillary pressure
• Importing laboratory data into Petrel RE
• Matching lab data with field conditions
• Ensuring consistency across datasets

Module 4: Model Initialization Techniques

• Principles of model initialization
• Defining initial pressure and saturation conditions
• Running initialization simulations
• Addressing common initialization errors
• Reviewing initialization outputs

Module 5: Introduction to History Matching

• Fundamentals of history matching
• Importance of calibration in simulations
• Identifying adjustable parameters
• Workflow setup in Petrel RE
• Introduction to history matching tools

Module 6: History Matching Using Production Data

• Incorporating production history
• Matching pressure, water cut, and gas-oil ratio
• Adjusting relative permeability curves
• Reducing mismatch between observed and simulated data
• Practical exercises in history matching

Module 7: Uncertainty Analysis in Simulation

• Sources of uncertainty in reservoir models
• Sensitivity analysis techniques
• Running multiple scenarios
• Probabilistic approaches to uncertainty
• Communicating uncertainty in results

Module 8: Production Forecasting Fundamentals

• Basics of production forecasting
• Forecasting oil, gas, and water production
• Long-term versus short-term forecasting methods
• Evaluating decline curves in simulation
• Case studies in forecasting

Module 9: Scenario Analysis and Optimization

• Building alternative development scenarios
• Evaluating different recovery strategies
• Sensitivity analysis of operational parameters
• Impact of uncertainty on forecasts
• Economic evaluation of scenarios

Module 10: Secondary Recovery Strategies

• Simulation of waterflooding projects
• Design of injection schemes
• Impact of heterogeneity on recovery
• History matching of secondary recovery
• Case examples in secondary recovery

Module 11: Enhanced Oil Recovery (EOR) Simulation

• Principles of EOR simulation
• Thermal recovery processes in Petrel RE
• Gas injection and miscible flooding
• Chemical EOR workflows
• Case studies of EOR projects

Module 12: Reservoir Optimization with Petrel RE

• Well placement optimization techniques
• Analyzing production bottlenecks
• Simulation-driven optimization
• Evaluating well intervention strategies
• Decision-making for improved recovery

Module 13: Visualization and Reporting Tools

• Visualization features in Petrel RE
• Creating dashboards and reports
• Communicating simulation results to stakeholders
• Comparing base cases and scenarios
• Preparing technical documentation

Module 14: Case Studies in Simulation and Forecasting

• Real-world applications of Petrel RE
• Lessons from history matching projects
• Forecasting under volatile conditions
• Regional comparisons of simulation strategies
• Peer-reviewed group discussions

Module 15: Future Trends in Reservoir Simulation

• Emerging techniques in AI-assisted simulation
• Cloud-based simulation platforms
• Integration with real-time production data
• Big data analytics for forecasting
• Next-generation simulation tools

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.