Introduction

Reservoir engineering is a critical discipline in petroleum engineering, focusing on optimizing hydrocarbon recovery through a deep understanding of reservoir behavior and dynamics. Training Course on the Fundamentals of Reservoir Engineering is expertly designed to empower petroleum professionals with the knowledge and tools needed to evaluate, manage, and enhance oil and gas production. Leveraging real-world applications and case studies, participants will gain comprehensive insights into reservoir simulation, fluid properties, well testing, and enhanced oil recovery techniques.

In today’s energy sector, where data-driven decisions and sustainability are paramount, mastering the core principles of reservoir engineering offers a competitive edge. This course blends theoretical knowledge with practical application to address modern-day exploration and production challenges, making it ideal for engineers, geoscientists, and energy analysts looking to advance in the upstream oil and gas industry. The course is packed with trending concepts such as digital oilfields, machine learning in reservoir analysis, and integrated asset modeling.

Programme Curriculum

Training Course on the Fundamentals of Reservoir Engineering

Introduction

Course Objectives

Understand the principles of reservoir rock and fluid properties.
Analyze porosity, permeability, and reservoir drive mechanisms.
Interpret pressure-volume-temperature (PVT) data for reservoir fluids.
Conduct and evaluate well testing and pressure transient analysis.
Apply material balance equations for volumetric calculations.
Explore reservoir simulation models using real field data.
Implement enhanced oil recovery (EOR) techniques.
Integrate geological and petrophysical data for reservoir characterization.
Utilize decline curve analysis and production forecasting methods.
Examine primary, secondary, and tertiary recovery methods.
Evaluate reservoir performance monitoring techniques.
Use AI and data analytics in reservoir engineering workflows.
Apply case-based learning for real-world field development planning.

Target Audience

Petroleum Engineers
Reservoir Engineers
Geologists
Geophysicists
Production Engineers
Field Development Planners
Data Scientists in Oil & Gas
Energy Policy Makers & Advisors

Course Duration: 5 days

Course Modules

Module 1: Reservoir Rock and Fluid Properties

Basics of reservoir rocks: porosity, permeability, saturation
Introduction to fluid properties: viscosity, compressibility
Capillary pressure and relative permeability
Classification of reservoirs: oil, gas, condensate
Rock-fluid interactions and wettability
Case Study: Characterizing a sandstone reservoir in the North Sea

Module 2: Reservoir Drive Mechanisms and Energy Balance

Natural drive mechanisms: water drive, gas cap drive
Understanding reservoir energy systems
Fluid displacement and production behavior
Introduction to volumetric analysis
Performance prediction using energy balance
Case Study: Water drive mechanism in a Middle East oil field

Module 3: PVT Analysis and Fluid Behavior

Understanding pressure-volume-temperature (PVT) properties
Laboratory experiments and equations of state (EOS)
Flash calculations and phase diagrams
Oil and gas formation volume factor (FVF)
Correlation and regression analysis for PVT
Case Study: EOS tuning for a volatile oil reservoir in Latin America

Module 4: Well Testing and Pressure Transient Analysis

Fundamentals of pressure transient analysis (PTA)
Flow regimes and wellbore storage effects
Diagnostic plots: Horner, log-log, semi-log
Introduction to well test interpretation software
Interference and injectivity testing
Case Study: Pressure build-up test in a tight gas reservoir

Module 5: Material Balance and Reservoir Volumetrics

General material balance equation derivation
Volumetric method for oil and gas reservoirs
Fluid compressibility and formation volume factor impact
Determining original hydrocarbon in place (OHIP)
Incorporating drive indices in material balance
Case Study: Estimating reserves in a depleted offshore field

Module 6: Decline Curve and Recovery Techniques

Types of decline: exponential, harmonic, hyperbolic
Curve fitting and production forecasting
Recovery factor estimation and benchmarking
Introduction to primary, secondary, and tertiary recovery
Application of machine learning in decline analysis
Case Study: Production optimization in a mature Venezuelan field

Module 7: Reservoir Simulation and Modeling

Concepts of numerical reservoir simulation
Grid systems and model initialization
History matching and model calibration
Dynamic simulation of production scenarios
Introduction to commercial simulators (Eclipse, CMG)
Case Study: Field-wide simulation for reservoir management in Alaska

Module 8: Integrated Asset Modeling and Digital Oilfields

Role of integrated asset modeling (IAM)
Linking subsurface, surface, and economic models
Use of digital twins in real-time monitoring
Data-driven reservoir surveillance and control
AI-powered predictive analytics for reservoir performance
Case Study: Digital transformation of a mature asset in the Permian Basin

Training Methodology

Instructor-led presentations with real-time Q&A
Interactive group discussions and technical workshops
Hands-on exercises using industry-standard software
Real-world case studies and scenario analysis
Digital resource access including simulation templates
Assessment quizzes and project-based evaluations

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 Technical Analysis Oil & Gas

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000