Hydrocarbon Processing - August 2022 - 15

Viewpoint
JASON URSO, Chief Technology Officer,
Honeywell Process Solutions, Houston, Texas
The pathway towards autonomy: How process
automation is building the future plant
areas, such as ensuring the right level of
talent are available due to the challenges
associated with an aging workforce and
reluctance from the next generation of
workers to seek employment in oil and
gas-related industries. Industrial autonomous
operations provide a future
where industrial facilities can continue
to improve performance in these areas.
By moving to a higher degree of autonomy,
industrial operators can improve
safety and environmental performance,
increase efficiency over historical levels,
improve reliability and attract highly
skilled talent.
The future physical plant looks simiJASON
URSO is Chief Technology Officer,
Honeywell Process Solutions, a leading
provider of industrial automation and
digitization technology, smart devices,
thermal process solutions and advanced
software that help operators around the
world improve their efficiency, sustainability,
safety and throughput.
Hydrocarbon Processing (HP) sat down
with Jason Urso (JU), Chief Technology
Officer, Honeywell Process Solutions, to
discuss the current state of the process
automation industry, how new technologies
are enhancing efficiency and safety,
and what the future holds for automation.
HP: What does the future plant
look like and how can process
industries get there?
JU: Major industrial producers today
are focused on sustainability, productivity,
safety and compliance. This involves
environmental-focused initiatives like
helping to reduce carbon footprints and
improving safety of the plant, personnel
and equipment. It also comprises new
lar from a distance-the same pipes,
columns, etc., are being used to process
product. However, a significantly higher
number of sensors are being employed
with technology (e.g., drones and robots)
to bring in data more frequently
than can be accomplished by humans.
New talent will be trained with technologies
like augmented reality (AR)
coupled with digital twins of processes
and plants where they are able to learn
how to physically respond to events that
were previously taught on paper due to
their hazardous nature or the infrequent
occurrence of the operation. Systems in
the plant must become increasingly selfdiagnostic
and eventually self-healing.
As industry relies more on sensors, personnel
need to consistently know their
status in case a sensor malfunctions.
The future of highly autonomous plants
brings a higher degree of awareness in
both its processes and systems.
HP: How have current automation
technology and software solutions
impacted process industries today?
JU: Automation technologies like
digital twins, advanced process control,
historian and control systems are resilient
and easy to engineer, maintain and
upgrade-they form the basic backbone
of industrial operations. Advancements
in these technologies enable a cybersecure
data exchange to the cloud and apply
smart analytics, artificial intelligence
(AI) and machine learning (ML) to the
data to gain actionable insights. This is
the path forward for the process industries
to become more efficient, safer and
more compliant. Some of the key drivers
and enablers for autonomous technology
in industries today are the relatively low
cost and availability of sensors coupled
with the advancement of data science
and analytics to turn data into information.
By adding sensors into the process,
we can apply digital eyes (video), ears
(sound), feel (e.g., vibration and heat)
and smell (e.g., emissions). While these
sensors are not purposed to replace human
monitoring, they offer an advantage;
they can be applied continuously or
at least more frequently than what a person
can do. Getting the data from these
devices enables personnel to leverage
data analytics to analyze what has been
detected to a higher degree than ever
before. When people sense something
through routines like operator rounds,
a report or log of the observation is created,
but it is a qualitative account. Using
sensors enables workers to log quantitative
values and evaluate trends vs. simply
comments or observations. By analyzing
and correlating trends of quantitative
data, plant personnel can detect and prevent
undesirable events. For example, by
detecting increasing levels of vibration,
heat or sound, workers can detect mechanical
issues long before equipment
reaches a point of failure.
HP: How will autonomous
operations improve plant safety,
reliability and efficiency?
JU: Autonomous operations can look
at multiple aspects of plant operation
Hydrocarbon Processing | AUGUST 2022 15

Hydrocarbon Processing - August 2022

Table of Contents for the Digital Edition of Hydrocarbon Processing - August 2022

Contents
Hydrocarbon Processing - August 2022 - Cover1
Hydrocarbon Processing - August 2022 - Cover2
Hydrocarbon Processing - August 2022 - Contents
Hydrocarbon Processing - August 2022 - 4
Hydrocarbon Processing - August 2022 - 5
Hydrocarbon Processing - August 2022 - 6
Hydrocarbon Processing - August 2022 - 7
Hydrocarbon Processing - August 2022 - 8
Hydrocarbon Processing - August 2022 - 9
Hydrocarbon Processing - August 2022 - 10
Hydrocarbon Processing - August 2022 - 11
Hydrocarbon Processing - August 2022 - 12
Hydrocarbon Processing - August 2022 - 13
Hydrocarbon Processing - August 2022 - 14
Hydrocarbon Processing - August 2022 - 15
Hydrocarbon Processing - August 2022 - 16
Hydrocarbon Processing - August 2022 - 17
Hydrocarbon Processing - August 2022 - 18
Hydrocarbon Processing - August 2022 - 19
Hydrocarbon Processing - August 2022 - 20
Hydrocarbon Processing - August 2022 - 21
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Hydrocarbon Processing - August 2022 - 25
Hydrocarbon Processing - August 2022 - 26
Hydrocarbon Processing - August 2022 - 27
Hydrocarbon Processing - August 2022 - 28
Hydrocarbon Processing - August 2022 - 29
Hydrocarbon Processing - August 2022 - 30
Hydrocarbon Processing - August 2022 - 31
Hydrocarbon Processing - August 2022 - 32
Hydrocarbon Processing - August 2022 - 33
Hydrocarbon Processing - August 2022 - 34
Hydrocarbon Processing - August 2022 - 35
Hydrocarbon Processing - August 2022 - 36
Hydrocarbon Processing - August 2022 - 37
Hydrocarbon Processing - August 2022 - 38
Hydrocarbon Processing - August 2022 - 39
Hydrocarbon Processing - August 2022 - 40
Hydrocarbon Processing - August 2022 - 41
Hydrocarbon Processing - August 2022 - 42
Hydrocarbon Processing - August 2022 - 43
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Hydrocarbon Processing - August 2022 - 45
Hydrocarbon Processing - August 2022 - 46
Hydrocarbon Processing - August 2022 - 47
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Hydrocarbon Processing - August 2022 - 50
Hydrocarbon Processing - August 2022 - 51
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Hydrocarbon Processing - August 2022 - 55
Hydrocarbon Processing - August 2022 - 56
Hydrocarbon Processing - August 2022 - 57
Hydrocarbon Processing - August 2022 - 58
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Hydrocarbon Processing - August 2022 - 62
Hydrocarbon Processing - August 2022 - 63
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Hydrocarbon Processing - August 2022 - 72
Hydrocarbon Processing - August 2022 - 73
Hydrocarbon Processing - August 2022 - 74
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Hydrocarbon Processing - August 2022 - 76
Hydrocarbon Processing - August 2022 - 77
Hydrocarbon Processing - August 2022 - 78
Hydrocarbon Processing - August 2022 - 79
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Hydrocarbon Processing - August 2022 - Cover3
Hydrocarbon Processing - August 2022 - Cover4
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https://www.nxtbook.com/nxtbooks/gulfpub/petrochemical_2018_v2
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https://www.nxtbook.com/nxtbooks/gulfpub/hp_201812
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