Course Overview
Accurate reservoir characterization and modeling are critical for effective hydrocarbon exploration and production. This Petroleum Reservoir Characterization and Modeling Training Course introduces participants to advanced tools and workflows used to analyze reservoir properties, build static and dynamic models, and evaluate production scenarios.
The course covers seismic interpretation, petrophysical analysis, geological modeling, and reservoir simulation. Participants will gain practical experience integrating multidisciplinary data for improved reservoir management and decision-making.
Through case studies, exercises, and modeling practice, the course prepares geoscientists and engineers to maximize recovery efficiency and minimize risks in petroleum development projects.
Course Benefits
Understand key principles of reservoir characterization.
Learn to integrate geological, geophysical, and petrophysical data.
Gain skills in building static and dynamic reservoir models.
Apply reservoir simulation to optimize production strategies.
Improve decision-making for hydrocarbon field development.
Course Objectives
Explain fundamentals of petroleum reservoir characterization.
Analyze seismic and petrophysical data for reservoir properties.
Construct geological models of reservoirs.
Perform reservoir simulation for production forecasting.
Evaluate uncertainties in reservoir modeling.
Apply integrated workflows for field development planning.
Strengthen skills in reservoir management and optimization.
Training Methodology
The course combines lectures, software demonstrations, hands-on modeling exercises, and case studies. Participants will practice workflows used in industry-standard reservoir characterization and simulation projects.
Target Audience
Petroleum geologists and reservoir engineers.
Geophysicists and petrophysicists.
Energy professionals in exploration and production.
Graduate students in petroleum geosciences or engineering.
Target Competencies
Reservoir property evaluation.
Geological and geophysical data integration.
Reservoir simulation and modeling.
Hydrocarbon field development planning.
Course Outline
Unit 1: Introduction to Reservoir Characterization
Importance of reservoir studies in petroleum systems.
Key reservoir properties and heterogeneity.
Data sources and integration.
Challenges in reservoir analysis.
Unit 2: Seismic Interpretation and Structural Modeling
Seismic data for reservoir mapping.
Faults, traps, and structural frameworks.
Seismic attributes for reservoir prediction.
Case examples in structural modeling.
Unit 3: Petrophysical and Geological Modeling
Well log interpretation for reservoir properties.
Porosity, permeability, and saturation analysis.
Static geological model construction.
Uncertainty assessment in petrophysical models.
Unit 4: Reservoir Simulation and Performance Forecasting
Dynamic modeling principles.
Simulation of production and recovery strategies.
History matching and validation.
Forecasting reservoir performance.
Unit 5: Integrated Reservoir Management
Linking geology, geophysics, and engineering.
Risk analysis and decision-making.
Reservoir optimization strategies.
Future trends in digital reservoir modeling.
Ready to advance your reservoir analysis and modeling skills?
Join the Petroleum Reservoir Characterization and Modeling Training Course with EuroQuest International Training and master the science of subsurface evaluation.
The Petroleum Reservoir Characterization and Modeling Training Courses in Amman offer professionals a comprehensive understanding of the geological, geophysical, and engineering principles that govern subsurface reservoir behavior. Designed for geologists, geophysicists, reservoir engineers, and energy analysts, these programs focus on integrating multidisciplinary data to build accurate models that support efficient hydrocarbon recovery and long-term reservoir management.
Participants gain in-depth expertise in reservoir characterization, learning how to analyze core samples, well logs, seismic data, and production information to determine reservoir properties such as porosity, permeability, saturation, and heterogeneity. The courses emphasize data integration and interpretation techniques that enhance understanding of reservoir architecture and flow dynamics. Through practical exercises and case-based modeling sessions, participants develop the ability to construct static and dynamic reservoir models using advanced software and analytical tools.
These reservoir modeling and petroleum geoscience training programs in Amman combine theoretical knowledge with hands-on experience, reflecting the modern approach to digital reservoir management. The curriculum covers essential topics such as petrophysical analysis, geostatistical modeling, simulation workflows, and uncertainty quantification. Participants also explore the application of artificial intelligence and machine learning in reservoir prediction, optimization, and performance forecasting, with a strong emphasis on sustainability and operational efficiency.
Attending these training courses in Amman provides a valuable opportunity to engage with international experts and industry peers in a dynamic learning environment. The city’s growing prominence as a hub for energy education and research makes it an ideal location for professional development in petroleum sciences. By completing this specialization, participants will be equipped to evaluate reservoir potential, design effective production strategies, and apply integrated modeling techniques—enhancing decision-making and maximizing resource value in a competitive and evolving global energy landscape.