Reservoir modeling is a cornerstone of modern petroleum exploration and production, enabling professionals to create accurate subsurface representations and optimize field development strategies. Petrel software provides an integrated platform that combines geological, geophysical, and engineering data to build comprehensive static models and transition seamlessly into dynamic reservoir simulations. This training course is designed to equip participants with practical knowledge and hands-on skills in using Petrel for static modeling workflows and applying them to dynamic reservoir analysis for improved decision-making.

Participants will gain in-depth experience in creating geological frameworks, populating models with reservoir properties, and preparing inputs for dynamic simulations. The program emphasizes best practices in building accurate static models, validating data, performing uncertainty analysis, and integrating simulation results to guide production strategies. By the end of the course, attendees will be proficient in end-to-end modeling workflows, bridging geology and engineering for more reliable reservoir performance forecasting.

Duration: 10 Days

Target Audience

• Petroleum engineers
• Reservoir engineers
• Geologists and geoscientists
• Petrophysicists
• Geophysicists
• Production engineers
• Simulation specialists
• Oil and gas consultants
• Data scientists in petroleum applications
• Drilling and field development planners
• Graduate students in petroleum engineering

Objectives

• Understand the fundamentals of static and dynamic reservoir modeling in Petrel
• Build geological frameworks using Petrel software
• Apply property modeling techniques for porosity and permeability distribution
• Integrate seismic, well log, and core data for reservoir characterization
• Construct structural and stratigraphic frameworks for accurate models
• Prepare and validate simulation input datasets
• Perform dynamic reservoir simulation with Petrel RE workflows
• Evaluate uncertainty and sensitivity in reservoir models
• Optimize production scenarios using dynamic outputs
• Interpret results for field development planning
• Enhance decision-making using integrated workflows
• Apply best practices for efficient reservoir model management

Course Modules

Module 1: Introduction to Reservoir Modeling with Petrel

• Overview of Petrel functionalities
• Static vs dynamic modeling concepts
• Role of modeling in field development
• Integration of multidisciplinary data
• Case study overview

Module 2: Geological Framework Building

• Defining structural models
• Stratigraphic layering techniques
• Fault and horizon interpretation
• Integrating seismic data
• Model validation basics

Module 3: Well Data Integration

• Importing well logs into Petrel
• Correlation and interpretation workflows
• Handling missing or inconsistent data
• Depth conversion methods
• Creating well tops and markers

Module 4: Seismic Data Utilization

• Seismic-to-well ties
• Attribute extraction techniques
• Fault and horizon picking from seismic
• Time-to-depth conversion
• Using seismic in property modeling

Module 5: Structural Modeling

• Grid design and creation
• Fault frameworks in Petrel
• Structural uncertainties
• Model refinement techniques
• Validating structural integrity

Module 6: Stratigraphic and Facies Modeling

• Depositional environment analysis
• Defining facies schemes
• Modeling facies distributions
• Integrating core and well log data
• Case examples in facies modeling

Module 7: Property Modeling

• Porosity and permeability distribution methods
• Saturation modeling workflows
• Integration of petrophysical analysis
• Variogram and geostatistics applications
• Quality checks in property models

Module 8: Preparing Models for Simulation

• Upscaling of static models
• Grid coarsening and validation
• Dynamic property assignment
• Preparing input datasets for simulators
• Consistency checks for simulation readiness

Module 9: Introduction to Dynamic Simulation with Petrel RE

• Overview of Petrel RE module
• Linking static and dynamic workflows
• Model initialization procedures
• Boundary conditions and fluid contacts
• Case applications in dynamic analysis

Module 10: History Matching Techniques

• Principles of history matching
• Adjusting parameters for calibration
• Identifying uncertainties in model inputs
• Comparing observed vs simulated production
• Tools for iterative history matching

Module 11: Forecasting Reservoir Performance

• Production forecasting methodologies
• Using dynamic models for prediction
• Evaluating recovery techniques
• Uncertainty in long-term forecasts
• Practical forecasting exercises

Module 12: Scenario Analysis in Petrel

• Building multiple reservoir development scenarios
• Sensitivity analysis methods
• Impact of reservoir heterogeneity
• Economic implications of scenarios
• Reporting and communication of results

Module 13: Reservoir Optimization Strategies

• Identifying production bottlenecks
• Well placement optimization
• Secondary and tertiary recovery planning
• Simulation-driven decision-making
• Case studies in optimization

Module 14: Visualization and Reporting

• Visualization tools in Petrel
• Creating 2D and 3D outputs
• Dashboard creation for stakeholders
• Communicating model uncertainty
• Preparing technical reports

Module 15: Best Practices and Future Trends

• Managing large-scale reservoir models
• Workflow efficiency in Petrel
• Integration with other software tools
• Emerging trends in AI and ML for modeling
• Future of reservoir surveillance and simulation

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.