Advanced Reservoir Engineering: 5-Day Professional Training Course

Course Overview

This advanced 5-day training program delivers cutting-edge reservoir engineering techniques and sophisticated analytical methods for experienced professionals. Tailored for the Kingdom of Saudi Arabia (KSA), Oman, GCC countries, and Africa, this course covers advanced simulation, complex reservoir characterization, integrated reservoir management, uncertainty quantification, and emerging digital technologies to maximize ultimate recovery and asset value.

Target Audience

• Senior reservoir engineers and team leaders

• Reservoir simulation specialists

• Asset managers and reservoir development planners

• Enhanced oil recovery (EOR) specialists

• Integrated subsurface professionals

• Reservoir geoscientists and petrophysicists

• Technical experts from Saudi Aramco, PDO, ADNOC, and African operators

• Advanced petroleum engineering professionals seeking specialization

Prerequisites: Minimum 3-5 years reservoir engineering experience or completion of fundamental reservoir engineering courses.

Day 1: Advanced Reservoir Characterization and Modeling

Morning Session: Complex Reservoir Systems

Module 1.1: Advanced Petrophysics and Rock Typing

• Reservoir quality index (RQI) and flow zone indicator (FZI)

• Hydraulic flow units and electrofacies

• Capillary pressure-based rock typing

• Winland R35 method and Leverett J-function

• Multi-scale heterogeneity characterization

• Carbonate pore systems: vuggy, fractured, intercrystalline

• Middle East carbonate complexity: Arab D reservoir variations

• Advanced core analysis integration

Module 1.2: Naturally Fractured Reservoirs (NFR)

• Dual porosity and dual permeability concepts

• Fracture characterization: density, orientation, aperture

• Matrix-fracture transfer functions

• Warren-Root model and derivatives

• Dynamic data integration for fracture identification

• Production behavior in fractured systems

• Oman’s naturally fractured carbonates management

• North African fractured basement reservoirs

Afternoon Session: Advanced Geostatistics

Module 1.3: Geostatistical Reservoir Modeling

• Variogram analysis and spatial correlation

• Sequential Gaussian simulation (SGS)

• Sequential indicator simulation (SIS)

• Object-based modeling for channels and fractures

• Multi-point statistics (MPS) and training images

• Facies modeling and property distribution

• Uncertainty quantification in geological models

• Ensemble modeling techniques

Module 1.4: Model Upscaling and Dynamic Integration

• Upscaling methodologies: arithmetic, harmonic, geometric

• Flow-based upscaling techniques

• Vertical and areal upscaling strategies

• Pseudo-function generation for coarse models

• Streamline-based upscaling

• Dynamic data conditioning and calibration

• Seismic-to-simulation integration

• 4D seismic history matching workflows

Day 2: Advanced Well Testing and Reservoir Performance

Morning Session: Advanced Pressure Transient Analysis

Module 2.1: Complex Well Test Interpretation

• Deconvolution techniques for rate normalization

• Reservoir boundaries and heterogeneity detection

• Multi-rate and multi-layer analysis

• Interference testing in complex reservoirs

• Pressure derivative analysis advanced techniques

• Double porosity and triple porosity behavior

• Wellbore storage type curve matching

• Fractured well transient analysis

Module 2.2: Horizontal and Multilateral Well Analysis

• Horizontal well pressure response regimes

• Pseudo-radial flow in horizontal wells

• Partial penetration effects

• Multi-lateral well testing and analysis

• Maximum reservoir contact (MRC) well performance

• Extended reach drilling (ERD) deliverability

• Saudi Arabia’s horizontal well applications in tight carbonates

• Multilateral wells in Oman fields

Afternoon Session: Advanced Rate Transient Analysis

Module 2.3: Unconventional Reservoir Analysis

• Rate transient analysis (RTA) fundamentals and advances

• Flowing material balance for tight reservoirs

• Diagnostic plots: square root time, log-log

• Type curve matching for shale and tight formations

• Stimulated reservoir volume (SRV) estimation

• Fracture characterization from production data

• Saudi Arabia’s Jafurah basin unconventional analysis

• Multi-fractured horizontal well (MFHW) performance

Module 2.4: Advanced Production Data Analysis

• Production data integration with static models

• Capacitance resistance models (CRM)

• Interwell connectivity analysis

• Waterflood performance diagnostics

• Hall plot and injection well analysis

• Machine learning for anomaly detection

• Predictive analytics for production optimization

• Real-time surveillance data integration

Day 3: Advanced Reservoir Simulation

Morning Session: Simulation Techniques and Workflows

Module 3.1: Advanced Simulation Methods

• Finite difference vs. finite element methods

• Streamline simulation advantages and applications

• Adaptive gridding and local grid refinement

• Dual porosity/dual permeability simulation

• Compositional simulation for volatile oil and gas condensate

• Thermal simulation for heavy oil and EOR

• Geomechanics coupling in reservoir simulation

• High-performance computing and parallel simulation

Module 3.2: Advanced History Matching Techniques

• Parameterization strategies for history matching

• Sensitivity analysis and experimental design

• Gradient-based optimization algorithms

• Ensemble Kalman filter (EnKF) methods

• Assisted history matching software tools

• Automatic history matching best practices

• Multi-objective optimization approaches

• Bayesian frameworks for uncertainty reduction

Afternoon Session: Complex Production Systems

Module 3.3: Network Modeling and Integration

• Surface network modeling and integration

• Well-reservoir-facility coupling

• Production optimization under constraints

• Artificial lift modeling in simulation

• Gas lift optimization workflows

• Integrated asset modeling (IAM) frameworks

• Real-time model updating and forecasting

• Digital twin implementation in GCC operations

Module 3.4: Advanced Well Modeling

• Complex well trajectories in simulation

• Multi-segment well modeling

• Inflow control devices (ICD) and valves (ICV)

• Intelligent completions simulation

• Downhole monitoring integration

• Well interference and spacing optimization

• Horizontal well placement optimization

• Fishbone and maximum reservoir contact well modeling

Day 4: Enhanced Oil Recovery and Advanced IOR

Morning Session: Advanced EOR Screening and Design

Module 4.1: EOR Optimization Techniques

• Advanced EOR screening methodologies

• Minimum miscibility pressure (MMP) determination

• Slim tube simulation and experiments

• Phase behavior modeling for gas injection

• Equation of state (EOS) tuning

• Displacement efficiency optimization

• Sweep efficiency improvement strategies

• Economic optimization of EOR projects

Module 4.2: Compositional Simulation for EOR

• Compositional vs. black oil simulation selection

• CO2 flooding simulation workflows

• Miscible and near-miscible displacement modeling

• Gas injection optimization

• Asphaltene precipitation modeling

• Saudi Arabia’s Uthmaniyah CO2 EOR simulation studies

• UAE sour gas injection optimization

• Hybrid EOR methods modeling

Afternoon Session: Chemical and Thermal EOR

Module 4.3: Chemical EOR Modeling

• Polymer flooding simulation and optimization

• Polymer rheology and non-Newtonian behavior

• Surfactant and alkaline flooding modeling

• ASP (Alkaline-Surfactant-Polymer) simulation

• Chemical adsorption and retention modeling

• Salinity effects and ion exchange

• Oman PDO polymer flooding simulation experience

• Chemical EOR pilot design and upscaling

Module 4.4: Thermal and Hybrid Methods

• Steam injection simulation: cyclic and continuous

• SAGD (Steam Assisted Gravity Drainage) modeling

• In-situ combustion simulation

• Hot water flooding optimization

• Thermal-chemical hybrid methods

• Geomechanics in thermal recovery

• Kuwait heavy oil thermal EOR opportunities

• African heavy oil thermal recovery potential

Day 5: Uncertainty Management and Digital Transformation

Morning Session: Uncertainty and Risk Analysis

Module 5.1: Probabilistic Reservoir Evaluation

• Monte Carlo simulation for reserves estimation

• Experimental design and response surfaces

• Decision tree analysis for field development

• P10-P50-P90 scenario generation

• Tornado plots and sensitivity ranking

• Value of information (VOI) analysis

• Risk-weighted development strategies

• Portfolio optimization under uncertainty

Module 5.2: Advanced Reserves Classification

• SPE-PRMS reserves definitions and applications

• Deterministic vs. probabilistic methods

• Contingent and prospective resources evaluation

• Reserves reconciliation and auditing

• SEC and international reporting standards

• Reserves maturation pathways

• Commercial evaluation integration

• Booking reserves in complex GCC projects

Afternoon Session: Digital Oilfield and Emerging Technologies

Module 5.3: Machine Learning and Artificial Intelligence

• AI applications in reservoir engineering

• Neural networks for property prediction

• Clustering algorithms for well grouping

• Supervised learning for production forecasting

• Unsupervised learning for pattern recognition

• Reinforcement learning for optimization

• Physics-informed neural networks (PINN)

• Data-driven history matching approaches

Module 5.4: Digital Transformation in Reservoir Management

• Big data analytics for reservoir surveillance

• Cloud computing for simulation workflows

• Real-time optimization and closed-loop management

• Digital twin technology implementation

• IoT sensors and downhole monitoring integration

• Automated workflows and decision support systems

• Blockchain for subsurface data management

• Cybersecurity in digital reservoir management

Module 5.5: Future Technologies and Sustainability

• Carbon capture, utilization and storage (CCUS)

• Reservoir engineering for CO2 storage

• Hydrogen storage in depleted reservoirs

• Geothermal energy reservoir engineering

• Energy transition impact on reservoir management

• ESG considerations in development planning

• Methane emissions reduction strategies

• Circular carbon economy initiatives in Saudi Arabia

Day 5 Afternoon: Advanced Case Studies and Workshop

Module 5.6: Comprehensive Regional Case Studies

Saudi Arabia Advanced Projects:

• Ghawar Arab-D super-giant reservoir simulation complexity

• Shaybah Maximum Reservoir Contact (MRC) well performance

• Manifa offshore heavy oil water injection optimization

• Jafurah unconventional shale gas development

• Uthmaniyah CO2 EOR advanced modeling

Oman Complex Reservoir Management:

• Fahud field naturally fractured reservoir characterization

• Harweel cluster advanced polymer flooding

• Khazzan/Makarem tight gas stimulation optimization

• Mukhaizna heavy oil steam flooding

• Birba tight gas horizontal well spacing

GCC Advanced Applications:

• ADNOC offshore HPHT sour gas reservoirs

• Qatar North Field gas condensate management

• Kuwait Burgan heavy oil thermal EOR feasibility

• Bahrain tight oil unconventional development

• Duqm integrated reservoir-to-refinery optimization

African Complex Reservoirs:

• Angola deepwater pre-salt turbidite simulation

• Nigeria Niger Delta compartmentalized reservoirs

• Egypt Western Desert mature field optimization

• Mozambique Rovuma Basin gas development

• Ghana Jubilee field water injection management

Interactive Workshop Session

• Advanced simulation hands-on exercises

• History matching challenge problems

• EOR optimization case studies

• Uncertainty quantification practical applications

• Machine learning implementation examples

• Group presentations and peer review

• Expert panel discussion on industry trends

• Final Q&A and networking session

Course Learning Outcomes

Participants will master:

• Advanced characterization of complex and heterogeneous reservoirs

• Sophisticated simulation techniques including compositional and thermal methods

• State-of-the-art history matching and uncertainty quantification workflows

• Comprehensive EOR screening, design, and optimization methodologies

• Integrated asset modeling coupling wells, reservoir, and facilities

• Data analytics and AI applications in reservoir engineering

• Probabilistic methods for reserves evaluation and risk management

• Digital transformation strategies for modern reservoir management

• Regional expertise in KSA, Oman, GCC, and African complex reservoirs

Regional Excellence: KSA, Oman, GCC & Africa

Kingdom of Saudi Arabia: Advanced techniques for super-giant carbonate management, unconventional shale gas development, CO2 EOR implementation, maximum reservoir contact well optimization, and Saudi Aramco’s cutting-edge reservoir management practices.

Oman: Sophisticated approaches for naturally fractured reservoirs, polymer flooding optimization, tight gas characterization, heavy oil thermal recovery, and PDO’s integrated reservoir studies.

GCC Region: Advanced methodologies for HPHT sour gas reservoirs, offshore carbonate optimization, gas condensate management, and regional digital transformation initiatives.

Africa: Complex reservoir characterization for deepwater turbidites, pre-salt carbonates, mature field revitalization, marginal field economics, and emerging digital applications across diverse African basins.

Training Delivery

• Expert-led advanced technical sessions

• Reservoir simulation software workshops

• Machine learning coding demonstrations

• Real-world complex case study analysis

• Interactive problem-solving challenges

• Peer-to-peer knowledge exchange

• Advanced calculation tools and scripts

• Comprehensive technical reference materials

Duration: 5 days (40 intensive training hours)
Delivery: In-person preferred, hybrid available
Language: English (Arabic support for GCC participants)
Certification: Advanced professional certificate
Software: Simulation and AI tool demonstrations

Keywords: advanced reservoir engineering training, reservoir simulation course KSA, complex reservoir management Oman, GCC advanced petroleum engineering, African reservoir optimization, EOR simulation training, naturally fractured reservoirs Middle East, machine learning reservoir engineering, digital oilfield GCC, uncertainty quantification petroleum, Saudi Aramco advanced techniques, PDO reservoir simulation, ADNOC complex reservoirs, compositional simulation training