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Solution:
iGLO, Intelligent Gas Lift Optimization.
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What:
Determine optimal lift gas injection rates to
maximize production.
How:
Our software creates predictive models of string, well or jacket behavior
(complex non-linear dynamics) then inverts the models to determine the
optimal injection rate given current operating conditions and constraints.
Re-optimize in real-time.
Results:
Production increases by up to 20%, 5% on average.
For a field that produces 50,000 barrels per day at $50/bbl, 5%
equates to $37,000 per day or $45.6 million/year.
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Oil and Gas Applications
Liquid Transients
Well Treatment Optimization
Oil Stabilization
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Optimize Your Production in Real-Time
In most lift gas injected oil fields, wells are optimized manually and
individually from time to time. In some cases wells have gone more
than a year since they were last manually optimized. When using an
on-line system, such as our iGLO Production
Optimization suite, wells, jackets and entire fields can be
re-optimized in seconds. The technology is faster than a typical
well can respond, so we enable you to set the pace. This process is
linked to your Distributed Control System (DCS) and injection rate
setpoints are applied to 10's or 100's of wells automatically live and
on-line.
Use Complete Information When Optimizing
Most optimization methods used today employ a theoretical model with only
one controllable factor: injection rate. However, even the modestly
experienced well engineer knows that the effect of injection rate changes
with casing pressure, flow line pressure, flow tubing header pressure and
other key well characteristics. One really should dynamically
consider these factors when determining optimal gas injection, but since
most optimization is off-line (static), it is difficult to do. Since
our iGLO Production Optimization
intelligent server is connected to your control system, it has easy access
to current conditions and compensates for changing well conditions.
This ability enables you to capitalize upon naturally surging or cycling
wells, causing them to "pump" more oil. Other on-line
factors that influence operations can be considered dynamically too,
including compressor trips, shut-ins, venting limits, available gas, oil
and gas processing limitations and other constraints.
Manage Your Production
Our optimization technologies can consider multiple objectives
simultaneously. Perhaps you have other factors you wish to control,
such as water cut and gas production. Some customers need to limit
formation gas production to avoid venting or reduce the overall average
water cut. With Process Intellect, you can instruct the system to
maximize net oil while minimizing water while limiting formation gas
production. While adding objectives may limit gains in gross
production, it also enables you to manage your operations comprehensively. |
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GAS LIFT OPTIMIZATION SOFTWARE...

iGLO
Suite

Intelligent Gas
Lift
Optimization
Virtual Production Metering
Automated Well Testing
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Control the Right Variables for Your Wells
The most common control handle is lift gas injection rate (mmsfd).
However, some wells are equipped with
casing sensitive injection valves, enabling you, through our software, to
control casing pressure rather than rate. Casing pressure has the
advantage of being a cleaner variable to measure than flow and may be
perfect for your well configurations. Pressure or rate, it's your
choice.
Optimize Strings, Wells, Jackets, a Field
or Across Fields
While some do, many manual optimization methods do not explicitly
allocate lift gas across wells, jackets or fields. With
iGLO Production Optimization, strings, wells and/or jackets are optimized automatically and
the field is handled as a comprehensive system. This optimization considers
not only appropriate lift gas allocations to jackets and wells within
available gas constraints, but also the complex process dynamics of each
well.
Bottom-Line Benefits
An average 5% increase in net oil production is typically achieved with
a payout time of approximately 2 months, potentially realized during project
implementation itself.
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