About the Integrated Reservoir Characterisation & Geo-Engineering Modelling Course

Time Training Center's 5-day Integrated Reservoir Characterisation & Geo-Engineering Modelling course offers a complete approach to well planning, field development, and production optimisation. ​It guides you through multidisciplinary processes of analysing geological, petrophysical, and geophysical data to define reservoir architecture, heterogeneity, and production potential.​

The course focuses on the integration of sedimentological, petrophysical, and structural data with well logs, seismic interpretation, and core analysis to support the construction of reliable static and dynamic reservoir models. Emphasis is placed on identifying reservoir facies, depositional environments, and the impact of diagenetic processes on rock properties such as porosity and permeability. You can also develop practical expertise in the use of geostatistical techniques, flow unit definition, and uncertainty analysis.

Through a mix of conceptual learning, interactive workshops, and case-based learning, you explore the practical workflow from data acquisition to 3D geological modelling. This empowers you to build robust geological and reservoir models capturing structural complexities, thin beds, and facies variations. It supports informed decisions for exploration, appraisal, field development, geo-steering, and optimised well placement under uncertainty.

Integrated Reservoir Characterisation & Geo-Engineering Modelling Course Objectives

​By the end of this Integrated Reservoir Characterisation & Geo-Engineering Modelling training course, participants will be able to:​

• Identify and evaluate rock types and key parameters involved in reservoir characterisation, including sedimentological, textural, and structural features.
• Integrate multidisciplinary datasets (logs, core, seismic, and geological data) to define reservoir geometry, heterogeneity, and connectivity.
• Analyse depositional environments and link them to reservoir flow units to better predict fluid flow behaviour and reservoir performance.
• Apply petrography and petrophysics to identify key facies and assess their impact on porosity, permeability, and saturation.
• Correlate diagenetic alterations and geological architecture with displacement patterns and fluid distribution within the reservoir.
• Quantify physical properties and distribute flow parameters spatially within a reservoir using advanced characterisation techniques.
• Build static and dynamic reservoir models that capture structural complexities, thin beds, facies variations, and shoulder effects.
• Perform geostatistical analysis and uncertainty management to improve reservoir property prediction and volumetric estimates.
• Assist in geo-steering operations and optimise well placement by providing high-resolution subsurface characterisation.
• Support field development planning and decision-making through integrated geo-engineering workflows and modelling practices.
• Interpret real-world case studies to better understand the impact of reservoir heterogeneity on hydrocarbon recovery and model performance.

Training Methodology

We employ a comprehensive and applied learning strategy, integrating theory with real-world implementation:

• 30% Conceptual Learning: Expert-led sessions on catalytic theory and engineering principles
• 20% Interactive Workshops: Group exercises, presentations, and technical discussion forums
• 30% Case-Based Learning: Industry-specific examples and troubleshooting scenarios
• 20% Technology Integration: Digital tools, simulations, and catalyst modeling applications

Note: Instructors may adjust the training approach to fit technical requirements or participant engagement levels.

Course Instructor:

Our courses are delivered by highly qualified instructors with extensive experience in both industry and academia. With decades of hands-on expertise across a wide range of technical disciplines, our instructors are dedicated to providing high-quality, impactful training that equips participants with practical knowledge and skills they can immediately apply. Full instructor profiles are available upon request.

Course Fees

The course fee includes the following:

• Course Materials: Comprehensive participant materials, including lecture notes, slides, and case study documents. (Tablet or IPAD)
• Coffee/Tea: Provided on arrival and during morning and afternoon breaks to keep participants refreshed.
• Buffet Lunch: Served daily to ensure participants have an opportunity to network and recharge during lunch breaks.

Who Should Attend Our Integrated Reservoir Characterisation & Geo-Engineering Modelling Course?

This training course is highly beneficial for geoscientists and engineers involved in exploration, reservoir development, and field planning, including:

• Strategic Engineers
• Petrophysicists
• Reservoir Engineers
• Geologists
• Geophysicists
• Geo-Modelers
• Technical Managers involved in asset development and reservoir management.

Integrated Reservoir Characterisation & Geo-Engineering Modelling Course Outline

Module 1: From Rocks to Reservoir and Reservoir Characterization

• Pre-test assessment of existing knowledge
• Reservoir from sedimentological and field perspectives
• Rock types and their influence on reservoir behavior
• Concepts and scope of reservoir characterization
• Carbonate rock classification, structure, and diagenetic impact
• Influence of carbonate porosity and fractures on reservoir quality

Module 2: Textural and Structural Impact on Reservoir Characterization

• Classification and structures of clastic rocks
• Carbonate geometries and their correlation with reservoir performance
• Facies of reefal reservoirs
• Textural attributes of clastics: porosity, grain packing, and sorting
• Petrography and photomicrography for clastic and carbonate reservoirs
• Geological controls affecting reservoir quality

Module 3: Impact of Depositional Environment on Reservoir Characterization

• Diagenetic indicators of depositional settings
• Characteristics of fluvial, aeolian, and deep marine environments
• Deltaic and tidal depositional systems
• Supratidal and sabkha environments and their reservoir implications

Module 4: Reservoir Uncertainties, Trapping Mechanisms, and Modeling Foundations

• Reservoir uncertainties in carbonates and clastics
• Influence of characterization on reserve estimates (min/max, P10–P90)
• Relationship between reservoir architecture and hydrocarbon trapping
• Integration of reservoir data into geostatistics
• From reservoir characterization to static model development
• Reservoir modeling steps, common challenges, and hidden heterogeneities
• Impact of thin beds and shoulder effects on interpretation

Module 5: Reservoir Characterization and Modeling – Criteria and Case Studies

• Defining cutoffs and porosity-permeability chart applications
• Linking facies to flow zone indicators (FZI) and flow behavior
• Transitioning from static to dynamic modeling: team collaboration models
• Importance of upscaling in dynamic modeling
• Integrated approaches to capture reservoir heterogeneity
• From deterministic to stochastic characterization workflows
• Real case studies demonstrating modeling outcomes and field applications

Module 6: Capstone and Assessment

• Review of Core Topics and Key Learnings
• Final Group Discussion and Q&A
• Post-Test Evaluation
• Certificate Presentation

Course Completion Certificate

Upon completing your course at Time Training Center, you will be awarded an official Course Completion Certificate, recognising your achievement and the skills you've gained. This certificate validates your expertise and reflects the high standards of training you've undergone.