Advanced Reservoir Engineering Training Course

Introduction

Optimize hydrocarbon recovery and maximize field profitability with our Advanced Reservoir Engineering Training Course. This program is designed to equip you with the essential skills to apply advanced reservoir engineering techniques, ensuring efficient reservoir management and production optimization. In today's complex energy landscape, mastering advanced reservoir engineering is crucial for organizations seeking to enhance their production strategies and achieve sustainable reservoir performance. Our advanced reservoir engineering training course provides hands-on experience and expert guidance, empowering you to apply cutting-edge methodologies for real-world applications.

This advanced reservoir engineering training delves into the core concepts of reservoir simulation, enhanced oil recovery (EOR), and unconventional reservoir characterization, covering topics such as numerical simulation, reservoir modeling, and advanced well testing. You'll gain expertise in using industry-standard tools and techniques to advanced reservoir engineering, meeting the demands of modern oil and gas operations. Whether you're a reservoir engineer, production engineer, or field development manager, this Advanced Reservoir Engineering course will empower you to drive strategic reservoir management decisions and optimize hydrocarbon recovery.

Target Audience:

• Reservoir Engineers
• Production Engineers
• Field Development Managers
• Geologists
• Simulation Engineers
• Petrophysicists
• Petroleum Engineers

Course Objectives:

• Understand the fundamentals of advanced reservoir engineering.
• Master advanced reservoir simulation and modeling techniques.
• Utilize enhanced oil recovery (EOR) methods and applications.
• Implement unconventional reservoir characterization and development strategies.
• Design and build advanced well testing and analysis plans.
• Optimize reservoir performance using data analytics and AI.
• Troubleshoot and address common challenges in reservoir management.
• Implement reservoir monitoring and surveillance programs.
• Integrate reservoir engineering into field development and production strategies.
• Understand how to manage large-scale reservoir engineering projects.
• Explore advanced applications (e.g., digital twins, AI for reservoir optimization).
• Apply real world use cases for advanced reservoir engineering in various field scenarios.
• Leverage reservoir engineering tools and frameworks for efficient analysis.

Duration

10 Days

Course content

Module 1: Introduction to Advanced Reservoir Engineering

• Fundamentals of advanced reservoir engineering.
• Overview of advanced reservoir concepts and methodologies.
• Setting up an advanced reservoir engineering framework.
• Introduction to advanced reservoir engineering tools and technologies.
• Best practices for advanced reservoir engineering.

Module 2: Advanced Reservoir Simulation and Modeling

• Mastering advanced reservoir simulation and modeling techniques.
• Utilizing numerical simulation and dynamic modeling.
• Implementing compositional and thermal simulation.
• Designing and building reservoir simulation models.
• Best practices for reservoir simulation.

Module 3: Enhanced Oil Recovery (EOR) Methods

• Utilizing enhanced oil recovery (EOR) methods and applications.
• Implementing chemical EOR and thermal EOR techniques.
• Utilizing gas injection and miscible flooding.
• Designing and building EOR implementation plans.
• Best practices for EOR.

Module 4: Unconventional Reservoir Characterization

• Implementing unconventional reservoir characterization and development strategies.
• Utilizing hydraulic fracturing and horizontal well technologies.
• Implementing microseismic and production data analysis.
• Designing and building unconventional reservoir models.
• Best practices for unconventional reservoirs.

Module 5: Advanced Well Testing and Analysis

• Designing and build advanced well testing and analysis plans.
• Utilizing pressure transient analysis and rate transient analysis.
• Implementing advanced well performance analysis.
• Designing and building well test interpretation models.
• Best practices for well testing.

Module 6: Data Analytics and AI for Reservoir Optimization

• Optimizing reservoir performance using data analytics and AI.
• Utilizing machine learning for production forecasting.
• Implementing data visualization and dashboarding.
• Designing and building AI-driven reservoir management systems.
• Best practices for data analytics.

Module 7: Troubleshooting Reservoir Management

• Troubleshooting and addressing common challenges in reservoir management.
• Analyzing reservoir performance and production data.
• Utilizing problem-solving techniques for resolution.
• Resolving common reservoir modeling errors.
• Best practices for troubleshooting.

Module 8: Reservoir Monitoring and Surveillance

• Implementing reservoir monitoring and surveillance programs.
• Utilizing permanent downhole gauges and 4D seismic.
• Implementing production logging and tracer surveys.
• Designing and building reservoir monitoring plans.
• Best practices for monitoring.

Module 9: Integration into Field Development

• Integrating reservoir engineering into field development and production strategies.
• Utilizing reservoir simulation in field development planning.
• Implementing reservoir management in production optimization.
• Designing and building integrated reservoir management plans.
• Best practices for integration.

Module 10: Large-Scale Reservoir Projects

• Understanding how to manage large-scale reservoir engineering projects.
• Utilizing project management tools and techniques.
• Implementing program evaluation and reporting.
• Designing scalable reservoir management solutions.
• Best practices for project management.

Module 11: Advanced Applications in Reservoir Engineering

• Exploring advanced applications (digital twins, AI for reservoir optimization).
• Utilizing digital twins for reservoir simulation and monitoring.
• Implementing AI and machine learning for production prediction.
• Designing and building advanced reservoir systems.
• Optimizing advanced applications for specific use cases.
• Best practices for advanced applications.

Module 12: Real-World Reservoir Engineering Use Cases

• Applying real world use cases for advanced reservoir engineering in various field scenarios.
• Utilizing reservoir simulation for offshore field development.
• Implementing EOR methods in mature fields.
• Utilizing unconventional reservoir characterization in shale plays.
• Implementing advanced well testing in complex reservoirs.
• Best practices for real-world applications.

Module 13: Reservoir Engineering Tools Implementation

• Leveraging reservoir engineering tools and frameworks for efficient analysis.
• Utilizing reservoir simulation software and databases.
• Implementing data analytics and visualization tools.
• Designing and building automated reservoir workflows.
• Best practices for tool implementation.

Module 14: Monitoring and Metrics

• Implementing reservoir monitoring and metrics.
• Utilizing reservoir performance indicators and KPIs.
• Designing and building monitoring systems for reservoir projects.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in Reservoir Engineering

• Emerging trends in reservoir engineering technologies and applications.
• Utilizing advanced sensor and monitoring systems.
• Implementing digital field technologies.
• Best practices for future reservoir management.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 14 working days before commencement of the training.