From Digital Oilfield to Digital
Transformation to Full Field Analytics
Presented by: Denise Sherrod
#PIWorld
©2019 OSIsoft, LLC
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Topics
• About Oxy
• Business Challenge
• Digital Oilfield
• Digital Transformation
• Full Field Analytics
• Field Mobility
• Conclusion
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Company Overview
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PI Statistics
Global PI Servers – 120 Total
4.5MM PI Tags
50
5000000
40
4000000
30
20
3000000
44
10
43
2000000
13
12
0
PI Servers
AF
Coresight / PI to PI
Servers PI Vision
8
Other
1000000
0
2010 2011 2012 2013 2014 2015 2016 2017 2018
Tag Count
Server Count
Selected PI as
Corporate Standard
Signed EA
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Business Challenge
• Turning 4.5 MM
PI tags into
useful
information
Digital
Oilfield
Digital
Transformation
• Using the data
to improve
processes
• Using analytics
to drive change
Full Field
Analytics
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The Digital Oilfield – Where Are We Today
• Massive amounts of data stored in systems such as PI
• Hours/days spent gathering and analyzing the data
• Field personnel carry out manual operations
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Digital Transformation
• Using data to
drive change
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Digital Data
Data is the Driver of Digital Transformation
• The right data is collected at the correct frequency
• Access to data must be seamless and fast
• Data must be converted into useful information
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Integrated Ops and Surveillance
Apply Manufacturing Plant Methodology to
Manage the Field
• End to end, real time view of the entire field ecosystem
• Integrated, planned, proactive maintenance
• Video surveillance provides remote surveillance
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Information Technology / Operational Technology
Convergence of IT and OT
• Real-time operational data are ingested by advanced IT
systems
• Advanced Analytics and Machine Learning provide
solutions
• Smart devices to talk to the cloud (Internet of Things)
IT
Integrated
Data &
Systems
OT
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Hands Free Field
Automate Operational Tasks
• Daily routes and manual data capture are eliminated
• Instrumentation and automation throughout the field
• Self-adjusting devices
• Mobility provides virtual control rooms from anywhere
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Processes & People
Process Transformation is Critical
• Advanced collaboration requires new processes / skills
• Requires a paradigm shift
• New skills will be required to operate in a more technical
environment
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Transforming The Way We Think
and How We Work
Anecdotal
Reactive
Segregated
Fire Fighting
Hands-on
Historical Review
Routine Work
Treating Symptoms
Cost Containment
Cumbersome
Data driven decisions
Proactive actions plans
Collaborative Work
Preventative Maintenance
Automated Control
Real-time Analytics
Continuous Improvement
Developing Cures
Value Creation
Agile Operations
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From Digital Transformation to Full Field Analytics
Analytics to Act on Predictions
Analytics to Predict Optimization
6 - Model Predictive Control
5 - PI Future Data
4 - Automatic Adjustments
Analytics to Act on Exceptions
3 - PI Analytics
Analytics to Identify Exceptions
2 - Alarm Notification
Management by Exception
Manual Exception Identification
1 - Routine Inspection
Target State
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1 – Manual Exception Identification
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
Manual high tank level
identified on daily route
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2 – Management by Exception
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
Operator receives a high tank
level alarm and goes to this
facility first
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3 – Analytics to Identify Exceptions
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
PI Analytics identifies an
exception - High water tank
level & disposal wells not
100% open
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4 – Analytics to Act on Exceptions
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
Automatic adjustment of
disposal wells to reduce high
tank level
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5 – Analytics to Predict Optimization
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
PI Future Data predicts a high
level, providing more time to
respond
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6 – Analytics to Act on Predictions
6
Analytics to Act on Predictions
5
Analytics to Predict
Optimization
4
Analytics to Act on Exceptions
3
Analytics to Identify Exceptions
2
Management by Exception
1
Manual Exception Identification
Automatic adjustment of
disposal and producing wells
to maintain optimal tank level
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Changing The Way We Work
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Field Mobility
• Provides alarms, real-time, and historical
surveillance data to the operators in the field
• Internally developed application
• Displays real-time data from PI
• Uses Asset Frame (AF) for navigational
hierarchies
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Field Mobility – Virtual Control Room for Entire Field
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Field Mobility – Operations Dashboard
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Occidental Petroleum
Levering the PI System
to Drive Change
CHALLENGE
Transform the way we
work
• Take advantage of the massive
amounts of data we have in our
PI systems to change our work
processes
SOLUTION
Operate our fields more
like a manufacturing
plant using full field
analytics
• Use PI data to be able to
predict and prevent upset
conditions
RESULTS
Increasing operational
efficiency
• We’re still early in the game, but
we’re making progress in
transforming our operations
from reactive to predictive and
preventative
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Speaker Information
• Denise Sherrod
• Chief of Automation
• Occidental Petroleum
• Denise_Sherrod@oxy.com
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Questions?
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the microphone
State your
name & company
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