

Integrated Reservoir Management
This course provides an in-depth understanding of Integrated Reservoir Management (IRM), focusing on strategies and tools to optimize reservoir performance. Learn how to collaborate effectively across disciplines, make data-driven decisions, and implement advanced techniques for sustainable reservoir management.
Description
Reservoir
management is an on-going, dynamic process of collecting, analyzing,
validating, and integrating reservoir description data and performance data
into an optimal reservoir development and depletion plan. This course will introduce a practical view
for reservoir management applications like reservoir evaluation and simulation,
production forecasting, material balance calculations, Monte Carlo simulation
analysis for reserve estimation, decline curve analysis, and waterflooding
design. The course will highlight the theoretical background and the practical
application. The course progresses from the measurement fundamentals to the
essential evaluation and assessment of the results and onto the practical
application in example studies.
Demo Class
Introduction
Integrated Reservoir Management is essential for maximizing asset value and enhancing operational efficiency in complex reservoir settings. This course provides a comprehensive overview of IRM principles, including collaboration across multiple disciplines, reservoir monitoring, and data integration. Participants will gain insights into best practices, new technologies, and analytical techniques necessary for effective reservoir management in today’s dynamic oil and gas landscape.
Objectives
· Model the reservoir through MBE tool assuming several scenarios for history matching and prediction.
·
Use well model (IPR & VLP) through the MBE
calculations to enhance the prediction accuracy
·
Monitor fluid contacts (OWC & GOC) to have a
deeper insight for reservoir management and surveillance.
·
Design the field development plan (FDP) for a
new field.
·
Model multiple juxtaposed connected reservoirs
and transmissibility estimation between them.
·
Calculate the original hydrocarbon in place
·
Predict reservoir or well production and
determine asset lifetime.
·
Design waterflooding project according to
reservoir properties and predict production performance
·
Prepare integrated studies for reservoir
characterization, evaluation and production prediction based on various
scenarios according to the included parameters
Training Methodology
The course will employ a mix of interactive lectures, hands-on exercises, case studies, and group discussions. Real-life examples will illustrate concepts, allowing participants to apply what they learn to actual reservoir challenges. The training is designed to foster practical, collaborative problem-solving skills essential for modern reservoir management.
Organisational Impact
Personal Impact
Who Should Attend?
Reservoir Engineers
Petroleum Engineers
Production Engineers
Day 1: Introduction
· Introduction
· Oil Recovery Processes
& Full Field Modeling
· Role of Reservoir Rocks
& Fluids in Reservoir Management
· Oilfield Lifetime &
Development
· Typical Production
Performance
Day 2: Applications of Core & PVT Data
· Core Analysis Flowchart
· Conventional Core
Analysis
· Flow Units and Rock
Typing
· Relative Permeability
& Capillary Pressure Data
· Applications of Reservoir
Fluid Data
· PVT Analysis Workflow
in the Reservoir Management Process
Day 3: Formation Evaluation & Well Logging
· Formation Evaluation
Overview
· Wireline Logging
Operations
· Basic Concepts of Log
Analysis
· Open hole Logging
Measurements
· Integrated Formation
Evaluation Plan
Day 4: Hydrocarbon In-place & Reserve Estimation
· Why Reserve Estimates?
· Petroleum Resource
Management System: PRMS
· Reserves Estimation Techniques: Deterministic vs. Probabilistic Techniques
Day 5: Decline Curve Analysis (DCA) & Production Forecasting
· Performance-based
Reserve Estimates
· Reservoir Driving
Mechanisms & Production Characteristics
· Applications of Decline
Curve Analysis
· Conventional Decline
Curve Analysis (Arps’ Approach) & Assumptions)
· Advanced Decline Curve
Analysis (Fetkovich Approach) & Pitfalls
Day 6: Material Balance Analysis
· Material Balance
Analysis: Concept and General Form
· Havlena-Odeh Approach:
Approach, Typical Analysis Techniques, Dake & Campbell Diagnostic Plots,
Pitfalls, Case Studies
· Input data collection
and QAQC
· History Matching and
Reservoir Performance Prediction
· Better Reservoir
Performance Prediction Using Well Model
Day 7: Material Balance Applications
· Field Development Plan
(FDP)
· Monitor Fluid Contacts
(OWC & GOC)
· Determine Asset
Lifetime
· Monte Carlo Simulation
Day 8: Well Testing Analysis
· Role of Well Testing in
Reservoir Management
· Surface Testing
Facilities
· Types of Pressure
Testing
· Basic Theory &
Diffusivity Equation
· Type Curve Matching and
Pressure Derivative
· Reservoir Modeling
Using the Pressure Transient
· Well Testing
Interpretation Process
Day 9: Waterflooding Design
· Principles and
Applications of Waterflooding
· Voidage Replacement
& Fractional Flow Equation
· Analytical Methods for
Waterflooding Design and Performance Prediction
· Displacement Efficiency
Calculations
· Managing and Optimizing
Water Injection
Day 10: Modeling Applications for Reservoir Management
· Reservoir Simulation
Overview, Workflow, and Benefits
· Reservoir Model
Initialization
· Making a Development
Strategy
· Defining a Simulation
Case
On successful completion of this training course, PEA Certificate will be awarded to the delegates
Hesham Mokhtar is a Reservoir Engineering Team Leader at General Petroleum Company (GPC) in Egypt. He has extensive experience in reservoir management, characterization, and production optimization. He is skilled in using various software for reservoir simulation and analysis. He has also delivered training courses on waterflooding, PVT analysis, reservoir simulation, and more.
- 14+ years of Petroleum Engineering expertise delivering technical solutions to E&P portfolios.
- Expert in reservoir evaluations, log interpretations, and hydrocarbon estimations using tools like Techlog, Volumetric, DCA, MBE, OFM, and KAPPA
- Analyzes production data, material balance, RFT/MDT data, and pressure transients for reservoir performance and optimization.