Efficient Plant May 2020 - 34

feature | solution focus
the day-to-day status of equipment and
processes, but also peer into the future to
improve the ways they prepare for and react
to change.

WHY CHANGE?
TGI safely maintains an extensive network
of 4,000 km of gas pipelines in Colombia
with a compression capacity of more than
193 hp. These pipelines deliver gas to many
different sectors of the economy including
residential, commercial, industrial, and
power generation, so the company has a
strict social and political responsibility to
meet contracts successfully.
The pipeline operating environment is
extremely dynamic. Maintenance activities,
plant and pipeline shutdowns, and variation in client consumption all mean that
company personnel must be able to handle
daily planned and unplanned operational
conditions-a difficult task for even the
most experienced technicians, made even
more difficult when all operational data
was recorded on paper and spreadsheets.
The complexities of daily operations, and
the importance of maintaining consistent
results, regardless of changes in personnel,
made TGI a perfect candidate for improved
decision support through digitization.
To provide better operational control and
to design a better safety net for equipment
in high-consequence areas, the reliability
team developed a real-time digital simulation. Working with Emerson engineers
(St. Louis, emerson.com), the team linked
Emerson's OpenEnterprise supervisory control and data acquisition (SCADA) system
to PipelineManager simulation software.
The simulation collects data in real time
from the SCADA system to create a digital
replica of TGI's entire pipeline network.

DIGITAL FUTURE VIEW
Not only does the digital-twin simulation
help to maintain and improve operations in

34

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EP2005fsolfocus.indd 34

real time, but the operations and reliability
teams also use it to "see the future." Every
half hour, a "look-ahead" model runs at
10 to 50 times normal speed using current-state operating conditions to tell the
operator what conditions will be in six
hours. Either team can also run this simulation on demand. Operators no longer need
to wait for incidents to happen. The highspeed model tells them the future results.
The operations team has set the lookahead model to monitor critical conditions.
If the team wants to push the system for
any reason, conditional alerts are in place
to tell them how many hours it will take to
break boundary conditions such as losing
a compressor or plant, losing an injection
plant, or creating an imbalance somewhere
in the network.

Within a few months of initial startup,
the reliability team used its look-ahead
model to determine the consequences to
downstream plants and stations if a single
production site were shut down. Engineers
learned that when the production site was
offline, suction pressure at specific compressor stations would decrease until it reached
its minimum, at which point they would
shut down. Using the look-ahead model, the
team was able to determine the actual time
it would take to reach the minimal suction
pressure at the compressor stations and the
time it would take to reach the minimal
arrival pressure at a site. This allowed the
reliability team to identify an exact window
of opportunity for any necessary shutdowns
to the production site. Should the site need
to be shut down, maintenance crews will go

MAY 2020

5/1/20 10:30 AM


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Efficient Plant May 2020

Table of Contents for the Digital Edition of Efficient Plant May 2020

Efficient Plant May 2020 - loc
Efficient Plant May 2020 - Cover1
Efficient Plant May 2020 - gatefold1
Efficient Plant May 2020 - gatefold2
Efficient Plant May 2020 - IFC
Efficient Plant May 2020 - 1
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Efficient Plant May 2020 - mi1
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