Intelligent Well Completion System

Intelligent Well
Completion System
Training Class Syllabus
to be adapted
According to customer
needs
Many reservoirs are
stacked up on top of each
other and many government
agencies will not allow
commingled flow and will
require sequential
production.
This might result in long
periods of low rate
production. In fact, many
may have been completed
in such a manner that their
maximum potential rate
cannot be achieved.
Intelligent well completion
system, use a systems
approach to optimize oil and
gas production in a well.
With Intelligent well
completion, wells can
achieve maximum
commingled rate, prevent unwanted effluent and
premature breakthrough,
obtain a better injection
efficiency, can intercept
reservoirs that contain an
active gas cap, reduce
water cut and water
handling costs.
Every reservoir intercepted
in a producing well can be
optimized to achieve the
most profitable flow rate.
Course Objective
The course provides an overview of advanced intelligent completions for oil and gas
wells. The benefits, applications and methodologies of completing intelligent wells will
also be discussed.
Learning Objectives
Participants will learn and understand how to:
1.
2.
3.
4.
5.
6.
7.
Identify Intelligent Wells and its Completion System components: from downhole
sensors and actuators (ICV, ICD and mechanically driven sleeves)
Learn Applications of Smart wells for Optimal Sequential Production.
Learn about Nodal analysis for Intelligent Wells Modeling, determining desired flow
and design of intelligent downhole valve.
Identify ways to increase productivity from Intelligent wells by Inflow Performance
Identification and Zonal Rate Allocation.
Hands-on exercises on intelligent well Modelling and Value Quantification to build
nodal analysis models to determine the desired behavior of remote actuators.
Compute Well operating envelope with emphasis on reservoir and well completion
aiming to provide basis for decision support of type of completions (Smart or not) to
produce the most without jeopardizing the integrity.
Learn a general overview of Digital Oilfield and Real-time production optimization by
sharing the best practices and lessons learned after 10 years of digital oilfield (DOF)
implementations
Pre-requisites
1.
2.
3.
4.
5.
Engineering background - knowledge of physics and mathematics
Basic familiarity with the components of a petroleum production system.
Ideally, participants should have some experience in production, drilling and/or
completions operations.
Lecture intensity level to be adjusted to the average knowledge of the class
Elemental computer and spreadsheet usage skills
Intelligent Well Completion System
Instructors
Dr. Luigi Saputelli,
25 years of experience in
integrated reservoir and
production modeling.
Dr. Alexander Verde, PhD
15 years of experience in
reservoir and production
engineering and modeling
Rami Kansao, MSc.
13 years of experience in
petroleum Engineering
Additional Support
On-site one-to-one
mentoring
On-the-job training
Consulting advice
Team Workshops
Contact Us
Frontender Corporation
8558 Katy Freeway,
Suite 103
Houston, TX 77024
+1.281.217.2783
[email protected]
www.frontender.com
Schedule and Location
Throughout the year.
Dates to be arranged at
client’s location preference.
Cost
To be arranged according
to number of participants
and location
Course Contents
Introduction to Intelligent Well Completion System
1.
a)
b)
c)
d)
e)
f)
Overview of Intelligent Well Completion Systems
What are intelligent/smart wells?
Role of Intelligent wells in the context of the Digital Oil field –DOF
Intelligent well components
i.
Downhole control types (Sleeves, ICV, ICD)
ii.
Systems to operate ICV valves
iii.
How to make the choice between active or passive control?
Assessing Costs vs Benefits and Front End Loading Approach
Applications of Smart wells
Case Study: Waterflood Recovery Optimization using Intelligent Wells and Decision
Analysis
2.
a)
b)
c)
d)
e)
Intelligent well Modelling and Value Quantification
Nodal analysis for Intelligent Wells Modeling
Design of Interval Control Valve (ICV)
Case Study: Intelligent Well Triple-Gauge Data and Real-Time Flow Allocation
Inflow Performance Identification and Zonal Rate Allocation from Intelligent Wells
Flux and Erosion Factor Calculation for Intelligent Well Operating Envelope Analysis
3.
a)
b)
c)
d)
e)
f)
Digital Oilfield and Real-time production optimization
What is Digital Oil Field (DOF)?
What were DOF technology enablers?
DOF Technology Components
Best practices and lessons learned after 10 years of digital oilfield (DOF).
Case Study: Real-time Production Optimization in the Okume Complex Field.
Case Study: Smart flow for Smart wells- Reactive and Proactive Modes.
Class Exercises
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Exercise 1: Multi-layer IPR commingle production
Exercise 2: Design of Interval Control Valve (ICV) for single layer
Exercise 3: Intelligent well performance model and valve design for multiple layer
Exercise 4: Offshore field development
Exercise 5: Auto-gas lift with intelligent application
Note
Travel costs out of
Houston.
.
The use of hands on production modeling software is strongly recommended for dexterity
development of the participants. Different packages (PetEx’s Prosper, IHS’s Fast
Virtuwell, WTF’s Wellflo) can be accommodated and will add license rental fees