Integrated EOR Reservoir Simulation Training Course

Integrated EOR Reservoir Simulation Training Course

Introduction

Integrated EOR Reservoir Simulation Training Course is designed to equip petroleum engineers, reservoir specialists, and oil and gas professionals with advanced technical knowledge and practical skills in Enhanced Oil Recovery (EOR), integrated reservoir modeling, numerical simulation, and production optimization. This specialized training course explores the integration of reservoir characterization, geological modeling, fluid flow dynamics, and advanced reservoir simulation techniques to evaluate and optimize EOR strategies. Participants will develop a comprehensive understanding of waterflooding, gas injection, miscible displacement, chemical EOR, thermal recovery, polymer flooding, and low-salinity water injection, while learning how to represent complex reservoir behavior using integrated simulation workflows. The course also emphasizes pressure maintenance, reservoir heterogeneity, fluid-rock interactions, relative permeability, capillary pressure, and dynamic reservoir performance to support reliable engineering decisions and sustainable oilfield development.

The program examines history matching, uncertainty quantification, sensitivity analysis, compositional simulation, sector modeling, full-field simulation, and production forecasting under alternative EOR scenarios. Participants will explore how data-driven reservoir engineering, digital oilfield technologies, AI-assisted reservoir analytics, and real-time production surveillance can enhance recovery planning and reduce operational uncertainty. Emphasis is placed on evaluating incremental oil recovery, recovery factor, sweep efficiency, injection performance, operating expenditure, capital investment, and overall project economics. By the end of the training, participants will be better prepared to design technically robust EOR development plans, assess recovery potential, optimize injection strategies, and support economically viable reservoir management decisions throughout the field life cycle.

Course Duration

5 days

Course Objectives

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

1. Master integrated EOR reservoir simulation principles for evaluating advanced hydrocarbon recovery strategies.
2. Analyze reservoir heterogeneity, geological uncertainty, and fluid properties affecting EOR performance.
3. Develop integrated static and dynamic reservoir models for reliable production forecasting.
4. Apply advanced history matching and model calibration techniques to improve simulation accuracy.
5. Evaluate waterflooding, gas injection, and miscible displacement for enhanced recovery potential.
6. Assess chemical EOR technologies, including polymer, surfactant, and alkaline flooding.
7. Understand thermal EOR methods and their application to heavy oil and viscous reservoirs.
8. Optimize injection rates, well placement, pressure maintenance, and reservoir sweep efficiency.
9. Apply compositional reservoir simulation to model complex multiphase fluid behavior.
10. Conduct sensitivity analysis, uncertainty quantification, and probabilistic production forecasting.
11. Integrate well performance, production surveillance, and field development data into simulation workflows.
12. Evaluate EOR project economics using incremental recovery, lifecycle costs, and value optimization.
13. Develop integrated EOR strategies that support digital oilfield optimization, sustainable reservoir management, and long-term asset value creation.

Target Audience

1. Reservoir engineers and reservoir simulation specialists.
2. Petroleum engineers involved in EOR planning and field development.
3. Production engineers responsible for well and reservoir performance optimization.
4. Geoscientists and reservoir characterization professionals.
5. EOR project engineers and enhanced recovery consultants.
6. Asset managers, field development planners, and technical team leaders.
7. Research scientists and technical professionals working in reservoir modeling.
8. Oil and gas professionals seeking advanced skills in integrated reservoir simulation and recovery optimization.

Course Modules

Module 1: Fundamentals of Integrated EOR Reservoir Simulation

• Principles of enhanced oil recovery and reservoir displacement mechanisms.
• Overview of primary, secondary, and tertiary recovery processes.
• Fundamentals of numerical reservoir simulation and multiphase flow modeling.
• Integration of geological, petrophysical, and fluid property data.
• Case study: Comparing conventional waterflooding with an EOR development strategy in a mature sandstone reservoir.

Module 2: Reservoir Characterization and Integrated Model Development

• Reservoir architecture, facies distribution, and geological heterogeneity.
• Petrophysical properties, including porosity, permeability, and saturation.
• Static reservoir modeling and dynamic model initialization.
• Grid design, upscaling, and representation of reservoir compartments.
• Case study: Developing an integrated reservoir model for a heterogeneous carbonate field with uneven production performance.

Module 3: Fluid Properties and EOR Displacement Mechanisms

• Reservoir fluid characterization and pressure-volume-temperature analysis.
• Relative permeability, capillary pressure, and wettability effects.
• Interfacial tension, mobility ratio, and displacement efficiency.
• Phase behavior during gas injection and miscible recovery.
• Case study: Assessing fluid-rock interactions and displacement efficiency in a reservoir considered for miscible gas injection.

Module 4: Waterflooding and Gas Injection Simulation

• Waterflood modeling, injection patterns, and pressure maintenance.
• Water-alternating-gas (WAG) injection and gas cycling.
• Miscible and immiscible gas injection simulation.
• Injection allocation, conformance control, and sweep efficiency optimization.
• Case study: Optimizing water-alternating-gas injection in a mature field experiencing early water breakthrough and uneven sweep.

Module 5: Chemical and Polymer EOR Simulation

• Fundamentals of polymer flooding and mobility control.
• Surfactant and alkaline flooding mechanisms.
• Modeling adsorption, retention, degradation, and chemical transport.
• Sensitivity analysis for chemical concentration and injection schedules.
• Case study: Evaluating polymer flooding in a high-water-cut reservoir to improve sweep efficiency and incremental oil recovery.

Module 6: Thermal EOR and Heavy Oil Reservoir Modeling

• Thermal recovery principles and heat transfer in porous media.
• Steam injection, cyclic steam stimulation, and steam-assisted gravity drainage (SAGD).
• Temperature-dependent viscosity and fluid mobility modeling.
• Energy requirements, heat losses, and thermal recovery performance.
• Case study: Comparing thermal recovery scenarios for a heavy oil reservoir, including sensitivity to steam injection rates and operating conditions.

Module 7: History Matching, Uncertainty, and EOR Optimization

• Data preparation, quality control, and production history integration.
• History matching of pressure, production rates, and water cut.
• Assisted history matching and parameter estimation.
• Monte Carlo simulation, uncertainty quantification, and probabilistic forecasting.
• Case study: Calibrating a mature reservoir model against production history and ranking alternative EOR scenarios under geological uncertainty.

Module 8: Integrated EOR Forecasting, Economics, and Field Development

• Full-field simulation and sector model integration.
• EOR scenario ranking and incremental recovery forecasting.
• Production optimization, well placement, and injection strategy evaluation.
• Economic analysis using capital expenditure, operating costs, and discounted cash flow.
• Case study: Preparing an integrated EOR development plan that compares waterflood optimization, polymer flooding, and gas injection using technical and economic indicators.

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.