Reservoir Engineering

reservoir engineering

Course Description:

This course provides an in-depth introduction to hydrocarbon reservoir engineering, focusing
on fluid behavior, reservoir simulations, and history matching techniques. Through a
combination of theoretical sessions and hands-on practical exercises, participants will gain a
comprehensive understanding of reservoir behavior, fluid properties, phase behavior, and
advanced simulation techniques. The course is ideal for reservoir engineers, geoscientists, and
professionals involved in reservoir management, aiming to enhance their skills in dynamic
reservoir modeling and optimization.

Duration

5 Days

Target Audience

Reservoir engineers
Geoscientists
Professionals involved in hydrocarbon reservoir management and simulation

Prerequisites

Basic understanding of geology, fluid mechanics, and petroleum engineering principles

By the end of this course, participants will be able to

1-Understand Key Concepts in Hydrocarbon Reservoir Engineering

Describe the fundamental principles of hydrocarbon reservoir engineering, including reservoir behavior and fluid
properties.
Differentiate between conventional and unconventional reservoirs and their characteristics.

2-Analyze Reservoir Fluid Properties and Phase Behavior

Understand the key fluid properties such as viscosity, density, and compressibility, and their impact on reservoir
performance.
Perform phase behavior analysis of hydrocarbons using PVT (Pressure-Volume-Temperature) data and phase
diagrams.

3-Develop and Execute Reservoir Simulation Models

Understand the purpose and benefits of reservoir simulation and its role in optimizing hydrocarbon recovery.
Set up a basic reservoir simulation model, including grid design, well modeling, and boundary conditions for both
black oil and compositional models.

4-Perform Basic and Advanced History Matching Techniques

Understand the principles of J-Function modeling and its applications in reservoir studies.
Use J-Function modeling to estimate fluid saturation from well log data and improve reservoir characterization.

5-Integrate Petrophysical Data into Reservoir Models

Understand the importance of history matching in hydrocarbon reservoir management and its impact on
decision-making.
Use manual and automated approaches to match production, pressure, and saturation data with simulation
models.
Apply advanced history matching techniques using optimization algorithms and machine learning to enhance the
accuracy of reservoir models.

6-Integrate Reservoir Engineering Concepts in Case Studies

Analyze real-world case studies that demonstrate successful reservoir simulation and history matching.
Work on a final project involving dynamic reservoir simulation and history matching to apply the knowledge
gained during the course.

Participants will leave the course with a solid foundation in reservoir engineering, practical skills in reservoir simulation and history matching, and the ability to integrate these techniques into real-world reservoir management tasks.

SYLLABUS

Day 1: Introduction to Hydrocarbon Reservoir Engineering

Overview of Hydrocarbon Reservoir Engineering: Importance and Applications
Key Concepts: Reservoir Behavior, Fluid Properties, and Phase Behavior
Types of Hydrocarbon Reservoirs: Conventional vs. Unconventional
Basic Reservoir Engineering Calculations: Material Balance and Recovery Factors

Day 2: Reservoir Fluid Properties and Phase Behavior

Understanding Fluid Properties: Viscosity, Density, and Compressibility
Phase Behavior of Hydrocarbons: PVT Analysis and Phase Diagrams
Impact of Fluid Properties on Reservoir Performance
Practical Exercise: Analyzing PVT Data and Calculating Fluid Properties

Day 3: Dynamic Simulation of Hydrocarbon Reservoirs

Introduction to Reservoir Simulation: Purpose and Benefits
Overview of Simulation Models: Black Oil, Compositional, and Thermal Models
Key Components of a Reservoir Simulation: Grid Design, Well Modeling, and Boundary Conditions
Practical Exercise: Setting Up a Simple Hydrocarbon Reservoir Simulation Model

Day 4: History Matching Techniques

Introduction to History Matching: Importance in Hydrocarbon Reservoir Management
Techniques for History Matching: Manual vs. Automated Approaches
Key Performance Indicators for History Matching: Production Data, Pressure Data, and Saturation Profiles
Practical Exercise: Performing a Basic History Match on a Hydrocarbon Reservoir Simulation
Model

Day 5: Advanced History Matching and Case Studies

Advanced Techniques in History Matching: Use of Optimization Algorithms and Machine Learning
Case Studies: Successful History Matching in Hydrocarbon Reservoirs
Final Project: Participants Work on a Case Study to Perform Dynamic Simulation and History Matching of a Hydrocarbon Reservoir
Course Review and Q&A Session