Hydrocarbon Processing - November 2021 - 21

Digital
digital twin captures the full history and
the future of the asset.
Instead of being built on an ad-hoc
basis to answer a particular question,
the digital twin is automated. Its regular
model runs are built-in to business workflows.
As a centralized, single version of
the truth, the digital twin is used by everyone.
Outputs are delivered directly to
the business and enable strong corporate
governance. Conversely, the simulator is
typically owned and used only by isolated
departments or groups.
Implementation of the solution required
the team to integrate the data from
the historian into the model and identify
missing data. To identify systematic issues,
the team conducted testing based on
the historical data and evaluations of failed
simulation runs. That enabled the development
of trapping error mechanisms to
run every week and allowed the team to
complete integration of the LP model and
development of an LP update tool.
The proprietary visualization toold
provides dashboards that can incorporate
results from the process simulation
software, alongside other data. The displays
were developed to allow users to
best follow the desired workflow. The
digital twin generates a great deal of
information that various stakeholders
could use in many ways.
By using customized displays, Repsol
could ensure adherence to a consistent
procedure (FIG. 1). Users can generate
alerts to relevant deviations or data quality.
Expert users can perform deeper
analysis through direct interaction with
the process simulation software.
Takeaway. Aside from the experience
of subject matter experts, most decisionmaking
activities related to improving
plant profitability (e.g., scheduling, planning,
real-time operations and retrofitting)
rely on a process model. Changing
from traditional simulation to a digital
twin solution ensures the best decisionmaking
over time.
The digital twin can accelerate the
identification and resolution of unit issues
and improve productivity. The
centralized solution provides information
to all stakeholders throughout the
organization, with no need for advanced
knowledge of the simulation model. The
digital twin provides a unified template
from which all teams and business units
can discuss issues such as model updates
and data quality. It constitutes a single
source of the truth that drives the alignment
of decisions and actions across the
value chain.
NOTES
a
Yokogawa's " Y-NOW 2020: DX Solutions for
Tomorrow " event
b KBC's Petro-SIM
c OSIsoft's PI System
d OSIsoft's PI Vision
CRISTINA AGUILAR GARCIA
is a Technical Advisor with 20 yr
of industry experience in the
fields of refinery optimization
and simulation, including work on
digitization projects. In addition,
she teaches process simulation
as a Repsol Master to the refinery and headquarters
teams. In 2001, she joined Repsol in the technology
lab as a refinery research technician. She has held
various positions within the organization. Ms. Garcia
earned a degree in chemical engineering from
Complutense University of Madrid.
LIVE WEBCAST
Friday, November 19, 2021 | 10 a.m. CDT / 3 p.m. UTC
Moving Towards Condition-Based Maintenance for
Plantwide Automation Assets
Manoj Chandrasekharan
Offer Director - Asset Management,
Process Automation
Schneider Electric
Plant automation including fi eld devices is not only fundamental building block of any
industrial plant but also represents signifi cant capital and operational cost. Traditionally plants
have adopted preventive maintenance practices to prevent unscheduled downtime. While
this may uncover some possible problems; studies have found that not only this maintenance
approach labor-intensive, it does not eliminate the possibility of catastrophic failures.
We will discuss a Condition-Based Maintenance approach for plant automation assets which
will deliver higher plant productivity at lower risk.
* We will cover constraints of current maintenance strategy for plant automation assets
* Steps for an eff ective Condition-Based Maintenance program for plant automation assets
* A customer success story
Lee Nichols
Editor-in-Chief/Associate Publisher
Hydrocarbon Processing
Register for Free:
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Hydrocarbon Processing | NOVEMBER 2021 21

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Hydrocarbon Processing - November 2021

Table of Contents for the Digital Edition of Hydrocarbon Processing - November 2021