Date | Time | Duration | Location |
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Date | Time | Duration | Location |
---|---|---|---|
03-Feb 2025 | 7 PM Indian Time |
3 Hours Per Day
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Zoom Online
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Waterflood Performance Analysis Using MS Excel
This introductory course in waterflood is aimed at introducing the participants to basic waterflood concepts using Excel based numerical problems. Several key concepts that will be discussed are components of recovery efficiency in waterflood, impact of Dykstra Parson coefficient, key design considerations in a waterflood project, distinction between matrix and fracture injection and their applications, evaluation of injection well performance and evaluation of performance of producers in a large waterflood project and water production mechanism in wells by means of diagnostic plots.
A number of numerical problems using Microsoft Excel will be used in the class to illustrate the various concepts.
Description
This course is designed for petroleum engineers, reservoir engineers, production technologists, and other professionals involved in waterflood operations. Basic familiarity with Microsoft Excel is recommended.
Introduction
Waterflood operations are critical for maximizing oil recovery, but analyzing their performance can be complex. This focused 3-day course empowers your team to harness the power of Microsoft Excel for efficient and insightful waterflood analysis. Participants will gain hands-on experience in building, interpreting, and utilizing Excel models to drive informed decision-making and optimize waterflood strategies.
Objectives
Upon completion of this course, participants will be able to:
Build: Construct Excel models for waterflood performance analysis, incorporating key reservoir parameters and operational data.
Analyze: Interpret model outputs to assess waterflood efficiency, identify trends, and predict future performance.
Optimize: Utilize Excel tools to evaluate different injection strategies and identify opportunities for improvement.
Troubleshoot: Apply Excel techniques to diagnose and resolve waterflood operational issues.
Communicate: Effectively present waterflood analysis results using clear and concise Excel visualizations.
Training Methodology
Interactive Lectures: Expert-led sessions covering waterflood fundamentals, Excel techniques, and model development.
Hands-on Exercises: Practical application of Excel tools to real-world waterflood scenarios.
Case Studies: Analyze and interpret waterflood data from actual field operations.
Group Discussions: Foster collaboration and knowledge sharing among participants.
Organisational Impact
Improved Reservoir Management: Enable engineers and technicians to make data-driven decisions, leading to increased production and improved recovery factors.
Enhanced Operational Efficiency: Streamline waterflood analysis processes, saving time and resources.
Cost Reduction: Optimize injection strategies and identify potential problems early, minimizing operational expenses.
Upskilled Workforce: Equip your team with valuable Excel skills applicable to a wide range of reservoir engineering tasks.
Personal Impact
By the end of the training the participant will feel confident in his understanding of
• How water displaces oil in porous media
• How to estimate water floodable oil
• How to estimate oil recovery by waterflooding
• How to monitor, analyze and optimize current waterflood projects
Who Should Attend?
Any subsurface personnel (Reservoir Engineer, Production Geologist, Petrophysicist or Production Technologist) at just about any experience level, from no waterflood experience to several years of waterflood experience.
The course will be delivered in a manner so that both beginners and experienced personnel will find the material very useful. The course content and real-life numerical problems have been selected to illustrate the fundamental concepts.
Day-1 :
Topics
Stock tank oil Initially in Place (STOIIP) and Floodable Oil Volume
Components of Recovery Factor from waterflood
Microscopic Displacement Efficiency, Areal Sweep Efficiency and Vertical Sweep Efficiency
Exercises
1. How to Identify Floodable Oil Volume
2. Finding out Components of Recovery Efficiencies
3. Understanding the Impact of Dykstra Parson Coefficient on Vertical Heterogeneity
Learning Outcomes
1. You will understand why the recovery from waterflood is not that high
2. You will be able to breakdown total recovery efficiency into individual components
3. You will understand what factors impact the various recovery efficiencies
Day-2:
Topics
Design Considerations in a Waterflood Project
Different Phases of a Waterflood
Concept of Voidage Replacement
Matrix and Fracture Injection
Step Rate Test and its Importance
Monitoring of Injection Well Performance – Hall Plot
Exercises
1. How to calculate voidage replacement
2. How to Interpret a step rate test
3. How to construct Hall’s Plot and draw conclusions on Injection Performance
Learning Outcomes
1. You will understand the design considerations in a waterflood project
2. You will be able to calculate voidage replacement requirement in a waterflood
3. You will be able to distinguish between matrix injection and fracture injection and understand their applications.
4. You will be able to interpret a step rate test and construct Hall’s plot to evaluate injection performance.
Day-3:
Topics
Analysis of Well Performance in Waterflood project.
Produced Water Diagnostics and Management
Pattern Balancing
Exercises
1. To construct Heterogeneity Index (HI) Plot
2. Information from ABC (After-Before-Compare) Plot
3. To prepare Chan’s plot from production data and identify mechanism of water production in wells
On successful completion of this training course, PEA Certificate will be awarded to the delegates
Biswajit Choudhury is a Petroleum Engineer with about four decades of experience in major E&P companies including NOC and IOC. He was a technical authority in Reservoir Engineering in Petroleum Development Oman (PDO) and Shell. He has been extensively involved in managing large waterflood projects. He has delivered numerous training programs related to this subject in PDO and other entities over last decade.