Hydrocarbon Processing - April 2022 - 84

Process Controls, Instrumentation and Automation
Fully
featured analytics addresses
issues. Whether troubleshooting process
control performance or analyzing process
control improvement benefits, control engineers
often want to find recurring, specific
time periods of operation (e.g., startups,
transitions, phases, setpoint ramps
and batch sequences), and then perform
analyses on those time periods.
To perform these and other related
activities, an advanced analytics application
provides extensive contextualization
tools, with the resulting contextualized
time periods referred to as capsules
and conditions. Capsules are individual
time periods of interest, such as " Steam
Control Valve Open, " making up an overall
condition containing the individual
capsules across time. These contextualization
tools are specifically designed
for creating insights to process data and
provide many identification methods,
including threshold deviations, increasing/decreasing
trends, time spans preand
post-events, and others. These types
of contextualization tools are critical for
gaining process control insights from
raw, historized data.
Moving into the reporting arena, adFIG.
2. Chain view shows automatic control improvements have decreased time to reach
steady-state operation at target production rates.
vanced analytics applications provide
users with the ability to publish their calculations
into auto-updating reports and
dashboards, establishing a common platform
for a range of reporting and workflow
management applications, such as
daily production meetings, incident investigation
summaries, live control room
displays
and other
collaborative
activities.
This type of common platform
brings other organizational roles into
the analyses (e.g., management, process
engineers and maintenance), promoting
collaboration with control engineers by
streamlining information sharing.
Where applicable, asset trees residing
in asset-configured data sources
or created by advanced analytics tools
can rapidly extend analyses and reports
across similar assets, such as controllers,
pumps, production lines or even sites.
The calculations can be built once by the
user and then applied across many assets.
Whether built-in to the core analytics
tools or made available via coding extensibility
features, methods specific to process
control are fully integrated within
the analytics application. For example,
when doing control strategy design or
controller tuning calculations, control
engineers often need dynamic model
fitting capabilities to handle the time
lagged responses common to industrial
processes. Standard linear regression
prediction modeling falls short, but the
right advanced analytics application will
have more advanced options to solve
these types of problems.
FIG. 3. Control valve health monitoring treemap enabled by asset features (A). Clicking on the
LIC109 valve asset in the treemap enables quick access to the underlying data (B).
84 APRIL 2022 | HydrocarbonProcessing.com
Accelerating insights and benefits:
Four use cases. The value of advanced
analytics for process control and auto

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Hydrocarbon Processing - April 2022

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