Successful oil and gas field development relies on seamless integration between geological interpretation, static reservoir modeling, and dynamic simulation. Petrel provides powerful tools for geological, geophysical, and petrophysical data integration, while CMG simulators deliver advanced capabilities for dynamic modeling, history matching, and production forecasting. This training course focuses on bridging Petrel and CMG workflows to build consistent static and dynamic reservoir models, tie well data effectively, and generate reliable forecasts that support decision-making across exploration and production operations.

Through practical case studies and hands-on exercises, participants will gain the skills to construct static models in Petrel, transfer them seamlessly to CMG simulators, and optimize field development strategies using dynamic results. The program emphasizes multidisciplinary collaboration, ensuring geoscientists and engineers can work together within integrated workflows to reduce uncertainty, improve forecasting accuracy, and maximize reservoir performance. By the end of the course, attendees will be fully equipped to implement an end-to-end integrated E&P workflow using Petrel and CMG.

Duration: 10 Days

Target Audience

• Reservoir engineers
• Petroleum engineers
• Geologists and geoscientists
• Geophysicists
• Petrophysicists
• Simulation specialists
• Production engineers
• Field development planners
• Subsurface modeling professionals
• Oil and gas consultants
• Graduate students in petroleum engineering

Objectives

• Understand the principles of integrated E&P workflows
• Build static geological and reservoir models in Petrel
• Transfer Petrel models into CMG simulators effectively
• Integrate seismic, well, and core data into static models
• Conduct dynamic simulations for production forecasting
• Apply history matching techniques in CMG
• Optimize recovery strategies through scenario analysis
• Enhance collaboration between geoscience and engineering teams
• Evaluate uncertainties in integrated workflows
• Link static and dynamic models for improved accuracy
• Generate clear outputs for decision support
• Apply best practices in integrated reservoir modeling

Course Modules

Module 1: Introduction to Integrated E&P Workflows

• Importance of integrated workflows
• Role of Petrel and CMG in E&P
• Bridging static and dynamic modeling
• Collaboration across disciplines
• Case study examples

Module 2: Geological Data Integration in Petrel

• Importing seismic and well data
• Interpreting horizons and faults
• Building structural frameworks
• Defining stratigraphic layers
• Quality control in data integration

Module 3: Well Log and Core Data Analysis

• Incorporating well log data into Petrel
• Rock property analysis and validation
• Core data interpretation
• Linking petrophysics to reservoir models
• Practical exercises

Module 4: Building Static Reservoir Models in Petrel

• Grid generation techniques
• Property modeling workflows
• Facies distribution and lithology modeling
• Upscaling for simulation readiness
• Validating static models

Module 5: Preparing Models for CMG Simulation

• Exporting Petrel models to CMG
• Input data formatting and conversion
• Consistency checks between platforms
• Assigning rock and fluid properties
• Practical workflows for transfer

Module 6: Introduction to CMG Simulation Suites

• Overview of IMEX, GEM, and STARS
• Selecting the appropriate simulator
• Defining model objectives
• Linking static and dynamic models
• Case examples of simulator selection

Module 7: Dynamic Model Initialization

• Initial conditions setup
• Assigning boundary conditions
• Fluid contacts and reservoir pressure
• Running initialization tests
• Model validation techniques

Module 8: History Matching Techniques

• Principles of history matching in CMG
• Adjusting key parameters for calibration
• Comparing simulated and observed data
• Iterative workflows in calibration
• Case studies in history matching

Module 9: Production Forecasting

• Forecasting oil, gas, and water production
• Short- and long-term forecasting approaches
• Impact of uncertainties on forecasts
• Decline curve vs simulation-based methods
• Practical forecasting exercises

Module 10: Scenario Analysis and Optimization

• Building alternative development scenarios
• Evaluating well placement strategies
• Secondary and tertiary recovery methods
• Sensitivity analysis in forecasting
• Optimizing recovery strategies

Module 11: Seismic-to-Simulation Integration

• Using seismic attributes in static models
• Linking seismic-derived properties to CMG
• Geophysical validation of reservoir models
• Value of seismic in production forecasting
• Case study applications

Module 12: Uncertainty and Risk Analysis

• Sources of uncertainty in workflows
• Probabilistic vs deterministic approaches
• Sensitivity testing of model parameters
• Communicating risks to decision makers
• Best practices in risk evaluation

Module 13: Visualization and Reporting

• Visualization tools in Petrel and CMG
• Creating 2D and 3D outputs
• Generating performance dashboards
• Preparing reports for stakeholders
• Communicating technical results

Module 14: Case Studies of Integrated Workflows

• Real-world examples of Petrel-CMG integration
• Lessons learned from complex reservoirs
• Benefits of integrated modeling approaches
• Peer-reviewed discussions
• Global best practices

Module 15: Future Trends in Integrated E&P Modeling

• Role of AI and machine learning in workflows
• Cloud-based simulation platforms
• Real-time integration with production data
• Digital twin applications in reservoir management
• Future of integrated E&P solutions

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.