An Intensive 5-day Training Course
Integrated Reservoir Analysis: A Multi-Disciplinary Approach
Bridging the Gap Between Petrophysics, Geology, and Reservoir Engineering
Integrated Reservoir Analysis: A Multi-Disciplinary Approach
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Integrated Reservoir Analysis: A Multi-Disciplinary Approach - IRA26
| Code | Date | Time | Duration | Location | Currency | Team of 10 Per Person | Team of 7 Per Person | Early Bird Fee Per Person | Normal Fee Per Person |
|---|---|---|---|---|---|---|---|---|---|
| IRA26 | 06 - 10 Apr 2026 | 9 PM Indian Time |
4 Hours Per Day
|
Zoom Online
|
USD
|
1850
|
2000
|
2500
|
3000
|
Boost your team's skills and your budget! Enjoy group discounts for collaborative learning. Send an inquiry to info@peassociations.com.
Integrated Reservoir Analysis
A comprehensive technical program focused on the seamless integration of geological, petrophysical, and engineering data to optimize reservoir performance and reserve estimation.
Description
This course provides a rigorous framework for evaluating subsurface assets by bridging the gap between static and dynamic data. Participants will explore the entire lifecycle of reservoir analysis—from microscopic pore-scale characterization to field-scale development strategies. The program emphasizes the "integration model," a systematic thought process used to resolve complex reservoir uncertainties, improve the accuracy of saturation height models, and define reliable flow units for upscaling into simulation models.
In the modern energy landscape, isolated data analysis leads to costly uncertainties. Integrated Reservoir Analysis is designed to break down technical silos, enabling professionals to synthesize data from core, logs, and fluid studies. This course focuses on the physical principles and logical workflows required to build a consistent reservoir model, ensuring that every piece of data—from grain size to production rates—tells a unified story of the subsurface.
By the conclusion of this program, participants will be able to:
- Implement a standardized integrated workflow for subsurface asset evaluation.
- Synthesize geology, facies, and petrophysical rock types into a coherent framework.
- Define the relationship between free-water levels, fluid contacts, and saturation distribution.
- Perform advanced core-log integration to validate reservoir parameters.
- Upscale petrophysical properties from pore-throat radius to reservoir flow units.
- Assess the impact of wettability, capillary pressure, and relative permeability on recovery factors.
The program is delivered through a blend of technical lectures, comprehensive case studies from global basins, and collaborative problem-solving sessions. The focus is on the application of theoretical physics to practical reservoir challenges, utilizing real-world data sets to reinforce learning through rigorous analytical exercises.
- Enhanced Decision Quality: More accurate reserve estimations and field development plans.
- Reduced Subsurface Risk: Identification of underlying assumptions and uncertainties in static and dynamic models.
- Cross-Functional Synergy: Development of a common technical language between geoscientists and engineers.
- Optimized Resource Allocation: Improved ability to identify additional potential in mature or complex fields.
- Technical Authority: Gain deep insights into how different subsurface disciplines intersect.
- Analytical Precision: Master "quick-look" interpretation techniques for rapid and accurate data validation.
- Career Advancement: Develop the high-level integration skills required for lead technical and asset management roles.
This course is designed for mid-to-senior level professionals, including:
Reservoir, Petroleum, and Production Engineers
Geologists and Geophysicists
Petrophysicists
Asset Managers and Technical Leads
Field Development Engineers
Module 1: The Foundation of Integration
The Integrated Workflow Process: Moving from data silos to a unified model.
Integration of Geology, Facies, and Petrophysical Rock Types (PRT).
Scale Management: Micro-pore analysis to mega-field development.
Module 2: Petrophysical Characterization & Rock Typing
Total vs. Effective Porosity: Fundamental concepts and common pitfalls.
Core-Log Integration: Techniques for validating log data with physical samples.
Pore Geometry: Analysis of uni-modal and bi-modal systems.
Methods for determining Petrophysical Rock Types.
Module 3: Fluid Dynamics & Saturation Modeling
Applied Capillary Pressure and Wettability.
The Physics of Fluid Contacts: Free-water levels and transition zones.
Saturation Height Modeling: Principles and practical application.
Relative Permeability: Impact on two-phase flow and recovery.
Module 4: Advanced Log Interpretation & Data Synthesis
Quick-Look Interpretation: Identifying hydrocarbons and lithological zones.
Resistivity and Porosity theory: Sonic, Neutron, and Density cross-plots.
Advanced Data Sets: NMR theory, Borehole Imaging, and Pressure Testing (MDT) applications.
Shaly Sand Analysis: Basic Archie vs. sensitivity analysis of inputs.
Module 5: Upscaling & Reservoir Management
Defining Flow Units: Moving from pore throat radius to reservoir scales.
Upscaling for Static and Dynamic Models.
Drive Mechanisms and Recovery Factor Optimization.
Exploitation Case Study: Identifying bypass pay and potential in mature assets.
On successful completion of this training course, PEA Verified Certificate will be awarded to the delegates With Credential URL.
Your expert course instructor is a Senior Reservoir Engineer with over 14 years of comprehensive experience across operating, service, and training sectors in the global petroleum industry. He currently serves as a Development Planning Engineer, managing complex subsurface assets and identifying strategic development opportunities through the integration of engineering and geological data.
Core Technical Expertise:
His professional background is rooted in delivering advanced subsurface and production optimization solutions. He possesses specialized expertise in:
Integrated Reservoir Management: Managing assets across diverse reservoirs, including deep HPHT carbonate and tight reservoirs.
Dynamic Modeling & Simulation: Constructing and managing 3D simulation models, history matching, and performance prediction.
Subsurface Integration: Correlating petrophysical, core (RCAL/SCAL), and fluid analysis (PVT) data to build robust dynamic field models.
Production Optimization: Leading large-scale hydraulic fracturing campaigns and implementing waterflooding projects that have significantly increased field production.
Industry Contributions & Leadership:
A recognized subject matter expert, he has authored multiple technical publications for the Society of Petroleum Engineers (SPE), focusing on innovative formation evaluation and predictive permeability modeling. His leadership experience includes serving as a Reservoir Engineering Team Leader, where he mentored multi-disciplinary staff and managed asset portfolios across both onshore and offshore environments.
Educational & Academic Excellence:
He holds a Master of Science (MSc) in Reservoir Engineering and a Bachelor of Science (BSc) in Petroleum Engineering, both with high honors. His academic work involved pioneering research into the application of non-parametric regression and machine learning for reservoir characterization.
Global Training Experience:
As an international consultant and trainer, he has delivered specialized courses to major global energy entities, including SLB, Halliburton, and various national oil companies. His teaching portfolio covers a wide range of critical disciplines, from Applied Reservoir Simulation and Integrated Production Modeling to Petroleum Economics and Well Test Analysis.
He brings a pragmatic, data-driven approach to every session, empowering participants with the technical proficiency and analytical tools required to navigate modern subsurface challenges with confidence
Frequently Asked Questions
All course bookings made through PEA are strictly non-refundable. By registering for a course, you acknowledge and accept that all fees are payable in full and are not subject to refund under any circumstances, including changes in personal or professional commitments or partial attendance.
PEA reserves the right to make reasonable adjustments to course content, trainers, or schedules where necessary, without entitling delegates to a refund. Comprehensive details of each course — including objectives, target audience, and content — are clearly outlined before enrolment, and it is the responsibility of the delegate to ensure the course's suitability prior to booking.
For any inquiries related to cancellations or bookings, please contact our support team, who will be happy to assist you.
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