Training Course on Upstream Reservoir Engineering and Simulation Methods
Master Training Course Upstream with expert training. 10 Days course with certification. Comprehensive training program. Online & in-person. Enroll now!
Oil, Gas, And Energy Management Training Courses10 DaysCertificate Included
Duration
10 Days
Mode
Online & Physical
Certificate
Included
Language
English
Course Overview
This course provides participants with in-depth knowledge of reservoir engineering principles, simulation techniques, and field performance analysis for optimizing hydrocarbon recovery. The course integrates theoretical foundations with practical exercises using modern reservoir simulation tools and case studies from real oil and gas fields. It aims to strengthen participants’ ability to analyze reservoir behavior, estimate reserves, predict production performance, and design strategies for efficient reservoir management.
Secure enrollment • Professional certificate included
Learning Objectives
By the end of the course, participants will be able to:
Understand the principles of reservoir characterization and fluid flow in porous media.
Analyze reservoir performance data and estimate hydrocarbon reserves.
Apply numerical simulation methods to model reservoir behavior.
Evaluate different recovery mechanisms and production optimization strategies.
Interpret simulation results to support field development planning.
Integrate geology, geophysics, and engineering data for improved decision-making.
Course Content
Module 1: Fundamentals of Reservoir Engineering
Reservoir types and drive mechanisms
Rock and fluid properties
Reservoir pressure, temperature, and saturation concepts
Material balance and decline curve analysis
Introduction to reservoir modeling workflows
Module 2: Reservoir Characterization and Data Integration
Geological and petrophysical data acquisition
Core analysis, well logging, and seismic interpretation
Reservoir heterogeneity and uncertainty
Integration of static and dynamic models
Case study: data-driven reservoir characterization
Module 3: Fluid Flow in Porous Media
Darcy’s law and multiphase flow equations
Relative permeability and capillary pressure
Single-phase and two-phase flow models
Numerical methods for flow simulation
Practical exercise: solving flow equations
Module 4: Reservoir Performance Analysis
Production data analysis and decline curve modeling
Pressure transient testing and well test interpretation
Production forecasting methods
Reservoir energy balance and material balance applications
Workshop: estimating reserves using field data
Module 5: Reservoir Simulation Fundamentals
Principles of numerical simulation
Finite difference methods and grid design
Model initialization and boundary conditions
History matching and model calibration
Introduction to commercial simulation software
Module 6: Advanced Simulation Techniques
Compositional and thermal simulation
Enhanced Oil Recovery (EOR) modeling
Coupled flow and geomechanics simulation
Uncertainty quantification and sensitivity analysis
Case study: modeling a gas injection project
Module 7: Field Development and Optimization
Development planning and production strategy design
Well placement, spacing, and completion optimization
Waterflood design and management
Reservoir surveillance and data-driven optimization
Exercise: optimizing production under constraints
Module 8: Integrated Reservoir Management
Linking reservoir, production, and surface network models
Multidisciplinary data integration (geology, geophysics, engineering)
Production monitoring and reservoir performance review
Decision support tools for asset management
Real-time data and digital oilfield applications
Module 9: Economic Evaluation and Risk Assessment
Economic indicators for reservoir projects
Sensitivity and scenario analysis
Impact of uncertainty on reserves and recovery
Risk-based production forecasting
Workshop: risk-adjusted field development evaluation
Module 10: Case Studies and Project Applications
Review of major reservoir simulation projects
Lessons learned from field implementation
Group project: building and presenting a reservoir model
Future trends in reservoir engineering and AI integration
Course synthesis and certification
Who Should Attend
The course is designed for reservoir engineers, petroleum engineers, production engineers, geoscientists, simulation analysts, field development planners, technical consultants, and researchers involved in upstream oil and gas reservoir evaluation and management.
