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www.xodusgroup.com
Harnessing the Power of Operational Intelligence
Work Smarter Not Harder
Australian Oil and Gas Exhibition and Conference
Feb 2017
Presented by Andy Jones, General Manager, Perth
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Across the lifecycle . Across disciplines . Across the world
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>
> A brief history of control systems and data acquisition
> What is operational intelligence?
> Putting the data to work
> Software options
> The future
Overview
Harnessing the Power of Operational Intelligence
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Andy Jones, General Manager, Perth Office
> Operational Intelligence Systems / Intelligent Monitoring
> Online monitoring package specification, development and commissioning
> Modelling package integration (OLGA Hysys, Hysys Pipesim etc.)
> Use of modelling packages to aid operations and commissioning
> Hysys dynamics specialist
Harnessing the Power of Operational Intelligence
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A Brief History of Control Systems and
Data Acquisition
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> 270BC First recorded automated feedback system on
Egyptian water clock
> 1960s Early Supervisory Control And Data Acquisition
(SCADA)
> 1960s Computer processing of seismic data
> 1968 First Programmable Logic Controller (PLC)
> 1970s Distributed Control System (DCS)
> 1980s -1990s Widespread adoption of SCADA and
standardisation
> Onwards to present There has been an explosion in the
amount of data we collect and store But how do we best
make use of that data?
A Brief History of Control Systems and Data Acquisition
Harnessing the Power of Operational Intelligence
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What is Operational Intelligence? In a nutshell
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What is Operational Intelligence?
> Operational intelligence (OI) is an increasingly popular and powerful way of improving asset
performance. It is a category of real-time dynamic, business analytics that delivers visibility and
insight into data, streaming events and business operations. Operational Intelligence solutions run
queries against streaming data feeds and event data to deliver real-time analytic results. It
provides organisations with the ability to make decisions and immediately act on these analytic
insights, through manual or automated actions. The purpose of OI is to monitor asset performance
and identify and detect situations relating to inefficiencies, opportunities, and threats and provide
operational solutions.
> Increasingly sophisticated levels of operational intelligence are becoming more and more
prevalent in the oil and gas industry.
Harnessing the Power of Operational Intelligence
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Putting the Data to Work Unlocking the value of data
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Putting Data to Work Levels of Complexity
Harnessing the Power of Operational Intelligence
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Level 1
Visualisation
> Management
dashboards
> Facility health
overviews
> DCS Mimics
> Alarm
summaries
Level 2
Logic
>
> Alarms and trips
> Daily averages
> Period of
excursions from
normal operating
conditions
Level 3
Calculations
> KPIs
> Virtual metering
> Flare modelling
> Heat
exchanger
fouling
> System mass
balance
Level 4
Reactive
> Event based
reporting
> Operator alerts
> Email, text
alerts
> Daily / weekly
reports
> Fault
identification
> Troubleshooting
Level 5
Proactive
> Optimise performance
> Asset integrity
> Predictive maintenance
> Start up optimisation
> Shutdown reporting
> Advanced compressor monitoring
Level 6
Integration & Analytics
> Databases
> Online realtime
simulation models
> Predictive data
analytics
> Automatic
recommendation
> Closed loop
feedback
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> Displayed in onshore office
for easy reference by
engineering support staff
> Typically a multi asset
overview such as this is
displayed permanently on a
support group or
surveillance area
> Based on real-time
information from the data
historian
Level 1 Visualisation Example 1 - Management KPI Dashboards
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Harnessing the Power of Operational Intelligence
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> Asset overview level
monitoring dashboards
> Traffic light system
health indicators
> Ability to drill down for
more detailed
information
> Based on real-time
information from the
data historian
> Ability to look back at
any time in history
Level 1 Visualisation Example 2 - Facility Health Overviews
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Harnessing the Power of Operational Intelligence
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> Sometimes not easily
available onshore due
to lack of bandwidth / or
software licence costs
> Quick trends / statistics
for all values
Level 1 Visualisation Example 3 - DCS Mimics with Extras
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Harnessing the Power of Operational Intelligence
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> Warnings based on
current and daily values
-a-
monitoring
> Traffic light system
applies to monitored
parameters
>
> Embedded trend enables
long term analysis
> Daily values from table
can be trended using
click and drag
functionality
Level 2 Logic Example - User Defined Logic (Separate to DCS Alarms)
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> Virtual meter on oil
rundown
> Extended to all control
valves to estimate
mass balance through
system
> Used when metering
exist
> Calibration vs historical
data allows good
accuracy
Level 3 Calculations Example 1 - Virtual Metering
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Level 3 Calculations Example 2 Flare Emissions Tool
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Harnessing the Power of Operational Intelligence
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> Replaces physical metering
with calculation based
> Diverse sources
blowdown ROs, regulators,
control valves, etc.
> Robust to errors flags
input tag errors, reverse
flow, etc.
> Coded directly in BabelFish/
PI Tools, PlantView,
Uniformance etc.
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> Calculating compressor performance relative to curves
> In the event of a trip or alarm, report automatically generated and sent to relevant parties
> Alerts can be emails or text messages
> All relevant data immediately in the hands of those who need it
> Fast response to minimise downtime
Level 4 Reactive Example - Troubleshooting Shutdowns
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Harnessing the Power of Operational Intelligence
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> ESP lifetime statistics
> Production data / well
test comparison
> Pumps fluid level
indicator
> Weekly / monthly
automated reports
> Comparison across all
pump to allow load
biasing
> Comparison with
historic failures
> Alerts if predicted to be
close to failure
Level 5 Proactive Example 1 Real Time and Historical ESP Monitoring
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Harnessing the Power of Operational Intelligence
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Level 5 Proactive Example 2 Advanced Compressor Monitoring
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Level 5 Proactive Example 3 Start Up Sequence Visualisation and Optimisation
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Harnessing the Power of Operational Intelligence
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> Ability to track duration of
each start-up activity
> Determine where the start-
up benchmark is not being
met
> Display key start-up status
indicators from around the
process and utilities
systems
> Facilitates proactive
monitoring of the asset
start-up sequences by the
surveillance team
> Determine how much
downtime is associated with
a particular activity
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Essential Power
Instrument Air
Essential Services Water
Diesel Pump
Main Power
Nitrogen
Tempered Water
Seawater
Integrated Services Water
Flare
Production Separator Pressurised
Wet Fuel Gas
Hot Oil System
Produced Water
Gas Turbine Fired
Glycol Contactor
Glycol Circulation
Dry Fuel Gas
Corrosion Inhibitor
Gas Export
Condensate Export
System
Time: 00:00:00
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Time: 04:32:16
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Time: 14:03:12
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Time: 23:45:40
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Time: 28:33:11
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Online transient / dynamic
models
> Linked to process data
> Real-time
>
> Predictive
Primary functions
> Liquids management
> Hydrocarbon accountancy
> Process visualisation
Level 6 Integration Example 1 Online Real Time Modelling (Dense Phase)
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Online transient / dynamic
models
> Multiphase pipeline
> Online linked single and
multiphase models
> 2 instances of the model
Real time
Primary functions
> Liquids management
> H2S / CO2 management
Level 6 Integration Example 2 Online Real Time Modelling (Multiphase Large Network)
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Level 6 Integration Example 3 Predictive Data Analytics
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Harnessing the Power of Operational Intelligence
Work Smarter Not Harder Pictured: Shaun Gregory, senior vice-president strategy, science and technology, Woodside
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Software Agnostic
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Software and Architecture
PZT TT VT AT FZT
Yokogawa DCS
ABB DCS
Emerson DCS
Siemens PCS
Honeywell PHD
Yokogawa Exaquantum
Aspentech IP21
OSI PI System
Third Party software
to interrogate the
data historian, e.g.
P2 Products
OSIsoft PI Tools
Yokogawa
FASTTOOLS
Xodus XPLORE
PHD Uniformance
Aspen Plantview
Data Historian
Plant
Instrumentation
DCS / PCS
Data Visualisation
Intelligent Engineering
Simulation
Examples include:
DCS mimics
KPI dashboards
Live PFDs (e.g. subsea valve alignment visualisation)
Traffic light health indicators
Alarm management / visibility
Examples include:
Virtual metering
Compressor performance and degradation monitoring
Heat exchanger monitoring
Shutdown / blowdown valve reporting
Facility start-up monitoring
Column performance monitoring
Examples include:
Linking of dynamic process models, e.g. HYSYS,
Unisim.
Linking of dynamic multiphase flow simulators, e.g.
OLGA, Ledaflow, COMPAS.
Faster than real time modelling for forecasting, or what-
if scenarios.
Leveraging real-time data.
Xodus Intelligent Monitoring Operator Domain
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The Future
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Example Data Structure for Predictive Data Analytics
PZT TT VT AT FZT
Data Lake
Data Historian
Plant
Instrumentation
DCS / PCS
Procurement
Maintenance
Production
Accounting
Process
Simulation
Excel Calculation
Visualisation Software
Data Analytics tools (e.g. Tableau, IBM
Watson) used for visualising:
Historical process data
Simulated process data
SAP / Oracle data
Market data
Financial data
Etc.
Tools can be BI or OI tools, depending
on the end user requirements.
Benefit of such a structure is that all
data is accessible by any visualisation /
data analytics software.
Not tied to specific software vendors
for visualising / interrogating data from
different sources.
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> Remote operations
Drones
Unmanned subsea surveillance
Robotics for inspection and maintenance
> More sensors
Internet of things
Harnessing the Power of Operational Intelligence
Work Smarter Not Harder Some images courtesy of Accenture
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Xodus has delivered intelligent monitoring solutions for a number of major
Experience Global and Local
Harnessing the Power of Operational Intelligence
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Xodus have developed operational intelligence tools for these Australian based clients