Understanding reservoir properties and flow behavior is vital for optimizing hydrocarbon recovery and making informed field development decisions. This training course focuses on the integration of well logs, core analysis, rock property evaluation, and petrophysical workflows with Petrel software to deliver robust reservoir characterization models. Participants will learn how to interpret subsurface data, model porosity and permeability distributions, and incorporate core flow results into static and dynamic workflows to enhance predictive reservoir performance.

The program combines practical applications of Petrel with advanced petrophysical tools to ensure participants can link core measurements with log-derived properties for accurate reservoir modeling. Emphasis is placed on data integration, property modeling, and uncertainty evaluation, providing attendees with the ability to transform raw data into actionable insights. By the end of this training, participants will be equipped to create reliable reservoir characterizations that guide production optimization and long-term field management strategies.

Duration: 10 Days

Target Audience

• Reservoir engineers
• Geologists and geoscientists
• Petrophysicists
• Petroleum engineers
• Core analysts
• Production engineers
• Simulation specialists
• Subsurface data scientists
• Oil and gas consultants
• Field development planners
• Graduate students in petroleum engineering and geoscience

Objectives

• Understand core flow and reservoir characterization fundamentals
• Integrate well log, core, and rock property data in Petrel
• Interpret petrophysical data for porosity and permeability modeling
• Apply workflows for core analysis and property prediction
• Build robust geological and petrophysical models
• Evaluate uncertainty in reservoir property distribution
• Use Petrel tools for integrating static and dynamic data
• Translate petrophysical models into simulation-ready datasets
• Apply core analysis for enhanced reservoir performance forecasts
• Develop workflows for property upscaling and calibration
• Communicate reservoir characterization results effectively
• Apply best practices for integrated reservoir modeling

Course Modules

Module 1: Introduction to Reservoir Characterization

• Fundamentals of reservoir properties
• Role of core and log data in characterization
• Overview of Petrel and petrophysics tools
• Linking data to reservoir performance
• Case study overview

Module 2: Well Log Data Preparation

• Types of well logs for reservoir analysis
• Importing and managing well log data
• Quality control of log datasets
• Log depth matching and corrections
• Preparing logs for petrophysical workflows

Module 3: Core Data Acquisition and Analysis

• Core sampling techniques
• Measuring porosity and permeability in cores
• Laboratory analysis methods
• Integrating core data with log data
• Case examples in core analysis

Module 4: Rock Property Evaluation

• Understanding rock property relationships
• Porosity and permeability trends
• Lithology interpretation techniques
• Reservoir quality indicators
• Rock typing methods

Module 5: Petrophysical Interpretation Basics

• Introduction to petrophysical workflows
• Log interpretation principles
• Determining water saturation
• Identifying pay zones
• Case studies in petrophysical interpretation

Module 6: Advanced Petrophysical Analysis

• Multi-mineral models
• Shaly sand interpretation methods
• Complex lithology workflows
• Petrophysical uncertainty evaluation
• Calibration with core data

Module 7: Data Integration in Petrel

• Linking well logs, cores, and seismic data
• Property model creation workflows
• Incorporating petrophysical outputs
• Cross-validation of multiple datasets
• Data management best practices

Module 8: Porosity Modeling Workflows

• Methods of porosity distribution modeling
• Variogram analysis for porosity
• Geostatistical modeling approaches
• Linking porosity to rock quality
• Validating porosity models

Module 9: Permeability Modeling Workflows

• Core-log permeability relationships
• Empirical correlations for permeability
• Modeling permeability anisotropy
• Calibrating permeability with production data
• Practical examples in permeability modeling

Module 10: Reservoir Property Upscaling

• Need for upscaling in reservoir models
• Upscaling porosity and permeability
• Grid coarsening techniques
• Validating upscaled properties
• Preparing models for simulation

Module 11: Fluid-Rock Interaction Analysis

• Capillary pressure relationships
• Relative permeability workflows
• PVT data integration
• Wettability considerations
• Case examples in fluid-rock systems

Module 12: Uncertainty and Sensitivity Analysis

• Identifying sources of uncertainty
• Sensitivity analysis for petrophysical inputs
• Probabilistic property modeling
• Risk evaluation in reservoir characterization
• Communicating uncertainty

Module 13: Static to Dynamic Model Integration

• Preparing static models for simulation
• Exporting properties to dynamic workflows
• Ensuring consistency across models
• Simulation-ready datasets
• Case studies in model integration

Module 14: Visualization and Reporting

• Visualization of petrophysical results in Petrel
• Generating cross-plots and property maps
• Building 3D reservoir property models
• Creating stakeholder reports
• Communicating reservoir insights

Module 15: Future Trends in Reservoir Characterization

• Machine learning in petrophysical analysis
• AI-assisted property prediction
• Big data and digital twin applications
• Real-time data integration with Petrel
• Emerging technologies in core analysis

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.