top of page
Tamkene Wide Logo .png
Tamkene Wide Logo .png

Reservoir Management Training Course

Comprehensive Reservoir Management training aligned with SPE guidelines and industry standards.

Main Service Location

Course Title

Reservoir Management

Course Duration

5 Days

Training Delivery Method

Classroom (Instructor-Led) or Online (Instructor-Led)

Assessment Criteria

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

ADDIE Training Services Design Methodology (1).png

Course Outline

1. Introduction to Reservoir Management

1.1 Reservoir Management Fundamentals
  • Evolution of reservoir management practices and philosophies

  • Integrated reservoir management approach including (subsurface-surface integration, multidisciplinary teams, and decision-making processes)

  • Economic drivers including (recovery factor optimization, operating cost control, and capital efficiency)

  • Introduction to SPE guidelines for reservoir management

  • Life cycle of petroleum reservoirs including (exploration, appraisal, development, production, and abandonment phases)

  • Value of information concepts in reservoir management including (data acquisition strategies and uncertainty reduction)


1.2 Reservoir Management Workflow
  • Business objectives alignment including (corporate goals, stakeholder expectations, and regulatory requirements)

  • Asset team structure and responsibilities

  • Reservoir management planning including (short-term operations, mid-term development, and long-term strategy)

  • Decision analysis methodologies including (decision trees, probabilistic approaches, and risk assessment)

  • Performance metrics and KPIs for reservoir management

  • Digital transformation in reservoir management including (data analytics, machine learning applications, and real-time monitoring)


2. Reservoir Characterization

2.1 Static Reservoir Characterization
  • Geological modeling workflows including (structural, stratigraphic, and facies modeling)

  • Petrophysical property modeling including (porosity, permeability, and saturation distributions)

  • Rock typing and flow unit identification

  • Uncertainty in static models including (stochastic modeling approaches and multiple realizations)

  • Integration of diverse data sources including (well logs, cores, seismic, and production data)


2.2 Dynamic Reservoir Characterization
  • Well testing analysis and interpretation

  • Pressure transient analysis including (build-up tests, drawdown tests, and interference testing)

  • Fluid property analysis including (PVT studies, EOS modeling, and fluid sampling)

  • Initial hydrocarbon in place estimation methods

  • Reservoir connectivity assessment techniques

  • Production data analysis including (decline curve analysis, type curves, and rate-transient analysis)


3. Reservoir Performance Analysis

3.1 Recovery Mechanisms
  • Primary recovery mechanisms including (solution gas drive, gas cap expansion, and natural water drive)

  • Drive mechanism identification and characterization

  • Material balance methods and applications

  • Decline curve analysis techniques and limitations

  • Recovery efficiency estimation for different drive mechanisms


3.2 Advanced Performance Analysis
  • Analytical modeling approaches including (streamline simulation, capacitance-resistance models, and decline curve analysis)

  • Production forecasting techniques including (empirical methods, analytical models, and numerical simulation)

  • Well productivity analysis including (productivity index, skin factors, and completion efficiency)

  • Interference effects and well spacing optimization

  • Production allocation and back-allocation methods

  • Water and gas breakthrough prediction methods


4. Reservoir Modeling & Simulation

4.1 Simulation Fundamentals
  • Types of reservoir simulators including (black oil, compositional, thermal, and streamline)

  • Governing equations and numerical solution methods

  • Grid design and discretization considerations

  • PVT and rock-fluid interaction modeling

  • Model initialization and equilibration

  • History matching workflow and techniques

  • Sensitivity analysis and uncertainty quantification


4.2 Simulation Applications
  • Development scenario evaluation

  • Well placement optimization

  • Production strategy optimization including (rate control, injection schemes, and facility constraints)

  • EOR process screening and design using simulation

  • Integrated asset modeling including (reservoir-well-facility coupling)

  • Uncertainty management in prediction modeling

  • Reserves estimation using simulation methods


5. Reservoir Surveillance & Monitoring

5.1 Surveillance Program Design
  • Objectives and data requirements for effective surveillance

  • Pressure monitoring strategies including (permanent gauges, wireline surveys, and interference testing)

  • Production monitoring including (rate measurements, fluid property changes, and production logging)

  • Formation evaluation including (saturation monitoring, repeat formation testing, and cased-hole logging)

  • 4D seismic applications in reservoir monitoring

  • Data quality control and validation methods


5.2 Surveillance Data Analysis
  • Production and injection performance tracking

  • Voidage replacement ratio analysis and optimization

  • Waterflood performance metrics including (pattern balancing, conformance monitoring, and sweep efficiency)

  • Gas-oil ratio and water-cut trend analysis

  • Reserves reconciliation and booking processes

  • Performance prediction updates based on surveillance data


6. Secondary Recovery Methods

6.1 Waterflooding
  • Displacement mechanics and recovery efficiency factors

  • Pattern selection and design considerations

  • Injection water quality requirements and treatment

  • Mobility control and sweep efficiency optimization

  • Surveillance and monitoring requirements for waterfloods

  • Common operational problems and solutions

  • Pattern balancing and rate optimization methods


6.2 Gas Injection
  • Displacement mechanisms including (immiscible and miscible processes)

  • Gas source options and processing requirements

  • Design considerations including (pattern selection, WAG ratio, and injection rates)

  • Operational challenges including (gravity segregation, conformance, and breakthrough management)

  • Monitoring and surveillance techniques specific to gas injection

  • Performance prediction methods for gas injection projects


7. Enhanced Oil Recovery

7.1 EOR Screening & Selection
  • Technical screening criteria for EOR methods

  • Reservoir and fluid property requirements for different EOR processes

  • Laboratory studies for EOR process evaluation

  • Field pilot design and implementation

  • Economic screening for EOR projects

  • Risk assessment for EOR implementation


7.2 Chemical EOR Methods
  • Polymer flooding mechanisms and design considerations

  • Surfactant flooding and microemulsion processes

  • Alkaline-Surfactant-Polymer (ASP) flooding

  • Chemical selection and compatibility testing

  • Operational challenges in chemical EOR

  • Performance monitoring methods


7.3 Thermal Recovery Methods
  • Steam injection processes including (cyclic steam stimulation, steamflooding, and SAGD)

  • In-situ combustion principles and applications

  • Reservoir thermal properties and heat management

  • Production system requirements for thermal projects

  • Environmental considerations in thermal recovery

  • Monitoring techniques for thermal processes


8. IOR & Production Enhancement

8.1 Near-Wellbore Treatments
  • Matrix stimulation methods including (acidizing, solvent treatments, and scale removal)

  • Hydraulic fracturing design and optimization

  • Conformance control techniques including (mechanical and chemical methods)

  • Water and gas shut-off treatments

  • Artificial lift selection and optimization

  • Production system debottlenecking


8.2 Field-Wide IOR Strategies
  • Infill drilling programs and density optimization

  • Horizontal and multilateral well applications

  • Pressure maintenance strategies

  • Improved sweep efficiency methods

  • Production acceleration versus ultimate recovery considerations

  • Smart field concepts and intelligent well applications


9. Reservoir Management Plans

9.1 Plan Development
  • Components of a comprehensive reservoir management plan

  • Development strategy options and evaluation criteria

  • Production and injection forecasting methodology

  • Facility requirements and constraints integration

  • Risk and uncertainty management approaches

  • Plan documentation and communication strategies


9.2 Implementation & Revision
  • Short-term operational plans and targets

  • Long-term development strategies

  • Key performance indicators and metrics

  • Plan review and update processes

  • Change management considerations

  • Data management requirements for effective plan implementation


10. Integrated Field Development

10.1 Field Development Planning
  • Integrated subsurface-surface development approach

  • Development concept selection methodology

  • Well count optimization and phasing strategies

  • Facility sizing and expansion planning

  • Environmental and regulatory considerations

  • Economic analysis and optimization


10.2 Optimization Techniques
  • Value of information analysis in development decisions

  • Probabilistic approaches to development planning

  • Integrated production system modeling

  • Optimization under uncertainty methods

  • Robust optimization techniques

  • Decision analysis for major development decisions


11. Unconventional Reservoir Management

  • Unique characteristics of unconventional reservoirs

  • Resource assessment methods for unconventional plays

  • Development strategies for tight oil and shale gas

  • Well spacing and completion optimization

  • Production forecasting challenges and techniques

  • Economic considerations in unconventional development


12. Field Rejuvenation & Mature Asset Management

  • Mature field challenges and opportunities

  • Remaining potential assessment methods

  • Production decline mitigation strategies

  • Late-life recovery enhancement options

  • Facility rationalization and cost optimization

  • Abandonment considerations and liability management


13. Economic & Risk Analysis

  • Key economic indicators for reservoir management decisions

  • Incremental economics of reservoir management options

  • Risk analysis including (technical, economic, and regulatory risks)

  • Portfolio management concepts

  • Decision analysis under uncertainty

  • Value creation through optimized reservoir management


14. HSE & Sustainable Reservoir Management

  • Environmental impact considerations

  • Carbon footprint reduction strategies

  • Water management and minimization approaches

  • Regulatory compliance requirements including (reporting protocols and approval processes)

  • Sustainable development principles application

  • Social license considerations in reservoir development


15. Case Studies & Group Discussions

  • Regional case studies from Middle East operations including (carbonate reservoirs, fractured systems, and heavy oil fields)

  • Reservoir management successes including (recovery enhancement, cost optimization, and production maximization)

  • Problem-solving exercises including (performance decline diagnosis, development options evaluation, and optimization strategies)

  • Integrated field management including (reservoir-to-market integration, multidisciplinary approaches, and facility optimization)

  • The importance of proper training in successful reservoir management

Targeted Audience

  • Reservoir Engineers responsible for field development and management

  • Production Engineers interfacing with reservoir management

  • Petroleum Engineers involved in asset management

  • Geoscientists contributing to field development decisions

  • Asset Team Leaders coordinating integrated operations

  • Technical Managers overseeing reservoir performance

  • Completion Engineers working on production optimization

  • Technical professionals seeking expertise in reservoir management

Knowledge Assessment

  • Technical quizzes on reservoir engineering principles

  • Problem-solving exercises on performance analysis

  • Scenario-based assessments on management strategies

  • Recovery mechanism identification and optimization challenges

Key Learning Objectives

  • Understand reservoir characterization techniques and their application in field development

  • Apply reservoir performance analysis methods for production forecasting

  • Implement effective reservoir surveillance and monitoring programs

  • Develop comprehensive reservoir management plans for different field types

  • Select appropriate secondary and tertiary recovery methods

  • Optimize production strategies using simulation and analytical techniques

  • Conduct economic evaluations of reservoir development options

  • Implement integrated reservoir management within multidisciplinary teams

Course Overview

This comprehensive Reservoir Management training course equips participants with essential knowledge and practical skills required for effective management of hydrocarbon reservoirs throughout their lifecycle. The course covers fundamental reservoir engineering principles alongside advanced management strategies necessary for optimizing recovery, maximizing economic value, and ensuring sustainable resource development.


Participants will learn to apply industry best practices and international standards to make informed decisions for reservoir development and management. This course combines theoretical concepts with practical applications and real-world case studies to ensure participants gain valuable analytical and strategic skills applicable to their professional environment while emphasizing integrated reservoir management approaches.

Practical Assessment

  • Reservoir performance analysis exercise

  • Development plan optimization task

  • Economic evaluation of reservoir management options

  • Integrated field development case study

Why Choose This Course?

  • Comprehensive coverage of reservoir management from fundamentals to advanced concepts

  • Integration of theoretical principles with practical applications from real-world scenarios

  • Focus on industry best practices and international standards including SPE guidelines

  • Hands-on exercises with actual field data and case studies

  • Exposure to state-of-the-art reservoir management techniques

  • Emphasis on integrated and sustainable management approaches

  • Opportunity to learn from case studies based on regional challenges in the Middle East

  • Development of critical decision-making 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.

bottom of page