EOR Surveillance and Performance Evaluation Training Course

EOR Surveillance and Performance Evaluation Training Course

Introduction

Enhanced Oil Recovery (EOR) Surveillance and Performance Evaluation is designed to equip petroleum professionals with advanced knowledge and practical skills for monitoring, analyzing, and optimizing EOR projects throughout their operational lifecycle. As oil and gas companies increasingly focus on reservoir performance optimization, recovery factor improvement, production enhancement, digital oilfield technologies, and asset value maximization, effective EOR surveillance has become essential for identifying performance deviations and maximizing incremental recovery. This course provides a comprehensive understanding of EOR surveillance strategies, reservoir monitoring, production data analysis, pressure surveillance, injection performance, tracer interpretation, material balance, reservoir simulation, decline-curve analysis, conformance monitoring, and key performance indicators (KPIs) used to evaluate EOR effectiveness.

Participants will explore practical approaches for evaluating waterflooding, gas injection, miscible flooding, polymer flooding, surfactant-polymer flooding, low-salinity waterflooding, CO₂-EOR, thermal recovery, and other advanced recovery methods. Through real-world case studies, production datasets, reservoir surveillance scenarios, and performance diagnostics, participants will learn how to distinguish between geological, operational, and facility-related performance issues and develop data-driven optimization strategies. The course also emphasizes digital reservoir surveillance, AI-assisted production analytics, predictive performance monitoring, uncertainty analysis, integrated asset management, and EOR project economics, enabling organizations to improve recovery efficiency while controlling operating costs, injection risks, and reservoir management challenges.

Course Duration

5 days

Course Objectives

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

1. Develop effective EOR surveillance strategies aligned with reservoir objectives and field-development plans.
2. Apply production performance analytics to evaluate EOR project effectiveness.
3. Analyze injection performance, pressure behavior, fluid movement, and sweep efficiency.
4. Interpret reservoir surveillance data to identify underperforming wells and reservoir compartments.
5. Evaluate EOR KPIs, recovery factors, incremental production, and efficiency indicators.
6. Apply material balance and decline-curve analysis to assess EOR performance trends.
7. Use pressure transient analysis and well surveillance techniques for performance diagnosis.
8. Interpret tracer studies and inter-well connectivity to evaluate reservoir sweep and fluid movement.
9. Identify conformance problems, channeling, thief zones, and premature breakthrough.
10. Apply reservoir simulation and history matching to improve EOR performance forecasts.
11. Integrate digital oilfield, AI, machine learning, and advanced analytics into EOR surveillance.
12. Develop data-driven EOR optimization and intervention strategies to improve recovery.
13. Evaluate EOR project performance, uncertainty, economics, and long-term value creation.

Target Audience

1. Reservoir Engineers
2. Petroleum Engineers
3. Production Engineers
4. EOR and Enhanced Recovery Specialists
5. Reservoir Surveillance Engineers
6. Field Development and Asset Managers
7. Geoscientists and Reservoir Modelers
8. Petroleum Operations and Production Managers

Course Modules

Module 1: Fundamentals of EOR Surveillance and Performance Evaluation

• Principles and objectives of EOR surveillance
• EOR mechanisms and expected reservoir responses
• Surveillance plans, monitoring frequencies, and data requirements
• EOR performance indicators and benchmarking
• Case Study: Establishing a surveillance framework for a mature waterflood-to-EOR transition

Module 2: EOR Production and Injection Performance Monitoring

• Production-rate and injection-rate surveillance
• Pressure monitoring and reservoir response analysis
• Water cut, gas-oil ratio, injectivity, and productivity trends
• Injection allocation and voidage replacement analysis
• Case Study: Diagnosing declining oil production despite increasing injection volumes

Module 3: Reservoir Pressure and Fluid-Movement Surveillance

• Reservoir pressure mapping and pressure-depletion analysis
• Inter-well communication and reservoir connectivity
• Pressure interference and pulse testing
• Fluid-front movement and sweep assessment
• Case Study: Using pressure surveillance to identify poorly connected reservoir compartments

Module 4: EOR Sweep Efficiency and Conformance Evaluation

• Areal and vertical sweep efficiency assessment
• Early water and gas breakthrough diagnostics
• Channeling, thief zones, and high-permeability streaks
• Conformance-control opportunities and water-shutoff strategies
• Case Study: Improving sweep efficiency through selective injection and conformance management

Module 5: Tracer, Well-Test, and Advanced Surveillance Techniques

• Application of chemical and radioactive tracers in EOR surveillance
• Inter-well tracer interpretation and residence-time analysis
• Production logging and injection profiling
• Pressure transient and well-test interpretation
• Case Study: Using tracer data to identify preferential flow paths between injector-producer pairs

Module 6: Reservoir Simulation and Digital EOR Surveillance

• Integration of surveillance data with reservoir simulation models
• History matching and model calibration
• Forecasting EOR response and recovery performance
• AI, machine learning, and predictive analytics for reservoir surveillance
• Case Study: Building a digital surveillance workflow to predict underperforming EOR patterns

Module 7: EOR Performance Optimization and Intervention Planning

• Identification of production and injection optimization opportunities
• Well stimulation, recompletion, workover, and injection optimization
• Pattern balancing and injection allocation
• Real-time surveillance and digital oilfield optimization
• Case Study: Optimizing an EOR pattern to increase incremental oil recovery

Module 8: EOR Performance Evaluation, Economics, and Integrated Asset Management

• EOR recovery-factor and incremental-production evaluation
• Technical and economic performance indicators
• Uncertainty, risk, and sensitivity analysis
• EOR project benchmarking and decision-making
• Case Study: Evaluating the economic viability and long-term performance of a CO₂-EOR project

Training Methodology

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

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 DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.