Reservoir Engineering Training Course
Comprehensive Reservoir Engineering training aligned with API RP 13D and SPE guidelines.

Main Service Location
Course Title
Reservoir Engineering
Course Duration
2 Days
Training Delivery Method
Classroom (Instructor-Led) or Online (Instructor-Led)
Assessment Criteria
Practical Assessment and Knowledge Assessment
Service Category
Training, Assessment, and Certification Services
Service Coverage
In Tamkene Training Center or On-Site: Covering Saudi Arabia (Dammam - Khobar - Dhahran - Jubail - Riyadh - Jeddah - Tabuk - Madinah - NEOM - Qassim - Makkah - Any City in Saudi Arabia) - MENA Region
Course Average Passing Rate
98%
Post Training Reporting
Post Training Report + Candidate(s) Training Evaluation Forms
Certificate of Successful Completion
Certification is provided upon successful completion. The certificate can be verified through a QR-Code system.
Certification Provider
Tamkene Saudi Training Center - Approved by TVTC (Technical and Vocational Training Corporation)
Certificate Validity
3 Years (Extendable)
Instructors Languages
English / Arabic
Interactive Learning Methods
3 Years (Extendable)
Training Services Design Methodology
ADDIE Training Design Methodology
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Course Outline
1. Introduction to Reservoir Engineering
Fundamentals of Reservoir Engineering
Overview of petroleum reservoir systems and their classifications including (conventional vs. unconventional reservoirs, sandstone vs. carbonate reservoirs)
Porosity, permeability, and fluid saturation concepts including (absolute, effective, and relative permeability measurements)
Rock and fluid properties interaction including (wettability, capillary pressure, and interfacial tension)
Reservoir drive mechanisms including (solution gas drive, gas cap drive, water drive, combination drive)
Introduction to API RP 13D for fluid flow in porous media
Reservoir Rock Properties
Core analysis techniques and interpretation including (routine and special core analysis)
Petrophysical property determination from logs including (porosity from density and neutron logs, water saturation from resistivity logs)
Rock typing and hydraulic flow units including (Winland R35, Flow Zone Indicator, Lorenz plots)
Heterogeneity and anisotropy effects including (vertical to horizontal permeability ratio, directional permeability)
2. Reservoir Fluid Properties
PVT Analysis and Phase Behavior
Fluid sampling techniques and quality control including (bottomhole vs. surface sampling, sample validation methods)
Black oil versus compositional fluid characterization including (formation volume factors, solution gas-oil ratio, compressibility)
Phase diagrams and fluid classification including (dry gas, wet gas, gas condensate, volatile oil, black oil)
PVT laboratory tests and data analysis including (differential liberation, constant composition expansion, separator tests)
Equation of state modeling including (Peng-Robinson, Soave-Redlich-Kwong)
Fluid Flow in Porous Media
Darcy's law and its applications including (single-phase flow, multiphase flow)
Relative permeability and capillary pressure relationships including (drainage and imbibition curves, hysteresis effects)
Buckley-Leverett theory and frontal advance including (fractional flow, shock front development)
Mobility and mobility ratio concepts including (mobility control in water flooding)
3. Well Testing and Production Analysis
Pressure Transient Analysis
Diffusivity equation and solutions including (radial flow equation, superposition principle)
Pressure buildup and drawdown analysis including (Horner plots, MDH plots)
Well test design and execution including (test duration, rate selection, and gauge selection)
Diagnostic plots and flow regime identification including (log-log derivative plots, specialized plots)
Boundary dominated flow and reservoir limits testing including (sealing faults, constant pressure boundaries)
Production Analysis
Decline curve analysis including (exponential, harmonic, hyperbolic)
Rate transient analysis including (flowing material balance, dynamic material balance)
Production forecasting methods including (type curves, analytical models)
Well productivity and inflow performance including (PI, IPR curves, nodal analysis)
SPE guidelines for production forecasting and reserves estimation
4. Material Balance and Volumetric Methods
Volumetric Calculations
Original hydrocarbons in place estimation including (deterministic vs. probabilistic approaches)
Uncertainty analysis in volumetric calculations including (Monte Carlo simulation, sensitivity analysis)
Net pay determination and cutoffs including (porosity cutoffs, permeability cutoffs, water saturation cutoffs)
Reservoir mapping techniques including (isopach maps, structural maps, property distribution maps)
Material Balance Applications
General material balance equation and its derivations including (oil reservoirs, gas reservoirs, gas condensate reservoirs)
Drive mechanism identification including (drive index calculation, Cole plots)
Water influx models including (Fetkovich, Carter-Tracy, van Everdingen-Hurst)
Gas material balance and p/z analysis including (gas cap expansion, water influx effects)
Material balance in unconventional reservoirs including (shale gas, tight oil)
5. Reservoir Simulation
Simulation Fundamentals
Types of reservoir simulation models including (black oil, compositional, thermal, dual porosity)
Discretization methods and grid systems including (Cartesian, corner point, unstructured grids)
Numerical methods in reservoir simulation including (IMPES, fully implicit, sequential)
Initialization and history matching including (pressure matching, production matching, saturation matching)
Uncertainty and sensitivity analysis including (Monte Carlo simulation, experimental design)
Advanced Simulation Techniques
Upscaling methods including (permeability upscaling, pseudo-relative permeability)
Streamline simulation including (time of flight, flow visualization)
Modeling fractures and faults including (discrete fracture models, dual porosity models)
Coupled reservoir-geomechanical models including (compaction, subsidence, fault reactivation)
Assisted history matching including (proxy models, optimization algorithms)
6. Enhanced Oil Recovery and IOR Techniques
Recovery Mechanisms
Microscopic displacement efficiency including (capillary number effects, interfacial tension reduction)
Macroscopic sweep efficiency including (mobility control, profile modification)
Residual oil saturation and recovery factor including (trapped oil, by-passed oil)
Screening criteria for EOR methods including (reservoir characteristics, fluid properties, economic factors)
EOR Methods
Water flooding design and optimization including (pattern selection, injection rates, water quality)
Gas injection processes including (miscible, immiscible, WAG, SWAG)
Chemical EOR including (polymer flooding, surfactant flooding, alkaline flooding, ASP)
Thermal recovery methods including (steam flooding, cyclic steam stimulation, SAGD)
Novel and emerging EOR technologies including (nanoparticles, smart water, microbial EOR)
7. Field Development Planning
Development Strategies
Greenfield versus brownfield development including (exploration risk, infrastructure constraints)
Integrated reservoir studies including (multidisciplinary teams, workflow integration)
Development plan optimization including (well count, spacing, phasing)
Uncertainty management in field development including (decision trees, value of information)
Reserves classification and reporting including (SPE-PRMS guidelines)
Economic Analysis
Economic indicators for project evaluation including (NPV, IRR, payback period)
Risk analysis in economic evaluations including (tornado diagrams, spider plots)
Production sharing agreements and fiscal regimes including (royalties, taxes, cost recovery)
Decision analysis under uncertainty including (expected monetary value, decision trees)
8. HSE in Reservoir Engineering
Risk assessment and management in reservoir operations including (HAZID, HAZOP)
Environmental considerations in reservoir management including (water management, carbon footprint)
Wellbore integrity and zonal isolation including (sustained casing pressure, gas migration)
Regulations and compliance requirements including (regional environmental standards, reporting requirements)
9. Quality Management in Reservoir Engineering
Data quality control and assurance including (outlier detection, data reconciliation)
Uncertainty quantification including (confidence intervals, P10-P50-P90 estimates)
Standardized workflows and procedures including (data gathering protocols, reporting formats)
Documentation and knowledge management including (lessons learned, best practices)
10. Case Studies & Group Discussions
Regional case studies from Middle East reservoirs including (carbonate reservoirs, naturally fractured reservoirs)
Field development optimization including (well placement, EOR implementation)
Production optimization challenges and solutions including (water management, gas handling)
Economic evaluation of development alternatives including (phased development, accelerated production)
The importance of proper training in successful reservoir management projects
Targeted Audience
Petroleum Engineers working in reservoir management and field development
Production Engineers involved in reservoir performance analysis
Geoscientists seeking to understand reservoir engineering principles
Facilities Engineers requiring knowledge of reservoir behavior for surface facility design
Asset Team Members involved in integrated field studies
Technical Managers overseeing reservoir management projects
Engineers transitioning to reservoir engineering roles
Technical professionals involved in reserves estimation and reporting
Knowledge Assessment
Technical quizzes on reservoir engineering concepts
Problem-solving exercises on fluid properties and reservoir behavior
Analytical calculations for hydrocarbon volumes and recovery
Interpretation of well test and production data
Key Learning Objectives
Understand the fundamental principles of reservoir engineering and fluid behavior in porous media
Apply various techniques for reservoir characterization and property estimation
Evaluate well performance and forecast production using analytical and numerical methods
Perform material balance calculations to estimate reservoir volumes and drive mechanisms
Develop skills in reservoir simulation and history matching
Analyze and optimize enhanced oil recovery and pressure maintenance strategies
Apply economic analysis to reservoir management decisions
Implement HSE considerations in reservoir engineering operations
Course Overview
This comprehensive Reservoir Engineering training course provides participants with in-depth knowledge and practical skills needed to understand, analyze, and optimize reservoir performance. The course covers fundamental principles of reservoir engineering along with advanced techniques for reservoir characterization, fluid behavior analysis, well performance evaluation, and reservoir simulation.
Participants will learn to apply industry best practices and international standards to make informed decisions regarding reservoir management and field development planning. This course combines theoretical concepts with practical applications, case studies, and hands-on exercises to ensure participants gain valuable skills applicable to their professional environment.
Practical Assessment
Reservoir characterization workflow exercise
Material balance calculations and analysis
Simple reservoir simulation exercise
Field development planning group project
Why Choose This Course?
Comprehensive coverage of both fundamental and advanced reservoir engineering concepts
Integration of theoretical principles with practical applications relevant to real-world scenarios
Focus on industry best practices and international standards including API RP 13D and SPE-PRMS
Hands-on exercises and case studies based on Middle Eastern reservoir conditions
Exposure to state-of-the-art reservoir modeling and simulation techniques
Emphasis on integrated reservoir management approaches
Opportunity to learn from practical case studies and real field examples
Development of critical analytical and problem-solving skills for reservoir management
Note: This course outline, including specific topics, modules, and duration, can be customized based on the specific needs and requirements of the client.