Introduction

Integrated Reservoir Modeling (IRM) is a cornerstone of modern petroleum reservoir management, bridging the gap between geology, petrophysics, geophysics, and reservoir engineering. Training Course on Integrated Reservoir Modeling is designed to provide professionals with a deep understanding of how to synthesize multi-disciplinary data to build high-resolution, predictive reservoir models. Leveraging state-of-the-art software and data analytics, the course focuses on maximizing hydrocarbon recovery, minimizing uncertainties, and supporting strategic decision-making across exploration and production activities.

As the energy sector increasingly adopts digital transformation, the integration of machine learning, big data, and 3D visualization into reservoir modeling is becoming a necessity. This course empowers reservoir engineers, geoscientists, and asset managers with the tools and techniques needed to navigate complex subsurface systems and optimize field development planning. With hands-on exercises, real-life case studies, and expert-led sessions, participants will walk away with the skills required for effective reservoir simulation and production forecasting.

Programme Curriculum

Training Course on Integrated Reservoir Modeling

Introduction

Course Objectives

Understand the fundamentals of Integrated Reservoir Modeling (IRM)
Apply geological, petrophysical, and seismic data in reservoir modeling
Interpret dynamic reservoir behavior using simulation tools
Enhance field development strategies through data integration
Conduct history matching and model calibration
Utilize machine learning in reservoir prediction
Evaluate uncertainty and risk analysis in IRM
Perform static and dynamic reservoir characterization
Integrate real-time production data for model updates
Leverage cloud-based reservoir modeling platforms
Develop 3D reservoir visualization techniques
Optimize Enhanced Oil Recovery (EOR) strategies
Present comprehensive field development plans using IRM

Target Audience Profiles

Reservoir Engineers
Geologists & Geophysicists
Petrophysicists
Production Engineers
Asset Managers
Subsurface Data Analysts
E&P Project Planners
Energy Sector Consultants

Course Duration: 10 days

Course Modules

Module 1: Fundamentals of Integrated Reservoir Modeling

Overview of IRM components
Role of multi-disciplinary collaboration
Introduction to software tools
Static vs. dynamic models
Key performance indicators
Case Study: Building a model from a brownfield asset

Module 2: Geological Modeling Techniques

Stratigraphic correlation and mapping
Structural modeling
Facies modeling
Lithology interpretation
Use of geological software (e.g., Petrel)
Case Study: Reservoir delineation in a complex faulted system

Module 3: Petrophysical Analysis

Core data integration
Well log interpretation
Porosity and permeability modeling
Water saturation modeling
Rock typing and cut-offs
Case Study: Multi-well petrophysical data integration

Module 4: Seismic Data Interpretation

Seismic-to-well tie
Structural interpretation
Time-to-depth conversion
Attribute analysis
Seismic inversion
Case Study: Mapping reservoir thickness using 3D seismic data

Module 5: Static Modeling and Grid Building

Grid design fundamentals
Layering strategies
Property modeling
Upscaling techniques
Quality control workflows
Case Study: Building a static model of a clastic reservoir

Module 6: Dynamic Reservoir Simulation

Reservoir flow mechanics
Initialization techniques
Simulation parameters setup
Relative permeability curves
Production prediction
Case Study: Waterflood simulation in a mature field

Module 7: History Matching Techniques

Importance of history matching
Data preparation
Automatic vs. manual matching
Sensitivity analysis
Model validation
Case Study: History matching for gas-condensate reservoir

Module 8: Uncertainty and Risk Analysis

Types of reservoir uncertainties
Probabilistic modeling techniques
Monte Carlo simulations
Scenario planning
Decision trees
Case Study: Risk-based evaluation of development scenarios

Module 9: Production Data Integration

Real-time production surveillance
Production logging
Material balance integration
Model updates with production data
Decline curve analysis
Case Study: Integrating surveillance data into reservoir model

Module 10: Field Development Planning

Resource estimation
Strategy selection
Economic evaluation
Drilling and completion plans
Performance monitoring
Case Study: Field redevelopment using updated IRM

Module 11: Enhanced Oil Recovery (EOR) Integration

EOR screening criteria
Polymer and gas injection modeling
Surveillance for EOR
Incremental recovery forecasting
Post-EOR performance evaluation
Case Study: CO? injection modeling in carbonate reservoir

Module 12: Machine Learning in Reservoir Modeling

Data preprocessing
Feature selection
Predictive modeling
Model training and validation
Deployment in IRM
Case Study: ML-based permeability prediction

Module 13: 3D Visualization and Interpretation

3D model building
Cross-sectional analysis
Interactive platforms (VR/AR)
Visual data storytelling
Presentation best practices
Case Study: Communicating reservoir uncertainty in 3D

Module 14: Cloud-Based IRM Tools

Benefits of cloud computing
Real-time collaboration
Data security and access control
Software-as-a-Service (SaaS) options
Scalability and storage
Case Study: Cloud-hosted IRM for multinational collaboration

Module 15: Final Project & Group Presentation

Group assignments
Model building from scratch
Technical report writing
Decision justification
Peer-to-peer feedback
Case Study: Integrated field model and development strategy

Training Methodology

Instructor-led virtual or in-person lectures
Hands-on software training with real data
Interactive quizzes and knowledge checks
Case-based learning and problem-solving
Group projects and model presentations
Post-training support and resource access

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Petroleum Engineering Reservoir Modeling Simulation Oil & Gas

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Nov 16 2026

16 Nov — 27 Nov 2026

💻 Online / Virtual session

Online $2,000