from digital oilfield to digital transformation to full field analytics … · 2019-04-12 · from...
TRANSCRIPT
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From Digital Oilfield to Digital Transformation to Full Field Analytics
Presented by: Denise Sherrod
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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
44 43
13 12 8 0
10
20
30
40
50
PI Servers AF Servers
Coresight / PI Vision
PI to PI Other
Global PI Servers – 120 Total
Server Count
Selected PI as
Corporate Standard Signed EA
0
1000000
2000000
3000000
4000000
5000000
2010 2011 2012 2013 2014 2015 2016 2017 2018
4.5MM PI Tags
Tag Count
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Business Challenge
• Turning 4.5 MM PI tags into useful information
Digital Oilfield
• Using the data to improve processes
Digital Transformation
• 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
• The right data is collected at the correct frequency
• Access to data must be seamless and fast
• Data must be converted into useful information
Data is the Driver of Digital Transformation
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Integrated Ops and Surveillance
• End to end, real time view of the entire field ecosystem
• Integrated, planned, proactive maintenance
• Video surveillance provides remote surveillance
Apply Manufacturing Plant Methodology to Manage the Field
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Information Technology / Operational Technology
• 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
OT
Integrated Data &
Systems
Convergence of IT and OT
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Hands Free Field
• Daily routes and manual data capture are eliminated
• Instrumentation and automation throughout the field
• Self-adjusting devices
• Mobility provides virtual control rooms from anywhere
Automate Operational Tasks
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Processes & People
• Advanced collaboration requires new processes / skills
• Requires a paradigm shift
• New skills will be required to operate in a more technical environment
Process Transformation is Critical
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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
1 - Routine Inspection
2 - Alarm Notification
3 - PI Analytics
4 - Automatic Adjustments
5 - PI Future Data
6 - Model Predictive Control
Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
Target State
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1 – Manual Exception Identification
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
1
2
3
4
5
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Manual high tank level
identified on daily route
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2 – Management by Exception
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
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2
3
4
5
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Operator receives a high tank
level alarm and goes to this
facility first
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3 – Analytics to Identify Exceptions
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
1
2
3
4
5
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PI Analytics identifies an
exception - High water tank
level & disposal wells not
100% open
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4 – Analytics to Act on Exceptions
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
1
2
3
4
5
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Automatic adjustment of
disposal wells to reduce high
tank level
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5 – Analytics to Predict Optimization
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
1
2
3
4
5
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PI Future Data predicts a high
level, providing more time to
respond
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6 – Analytics to Act on Predictions
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Manual Exception Identification
Management by Exception
Analytics to Identify Exceptions
Analytics to Predict
Optimization
Analytics to Act on Predictions
Analytics to Act on Exceptions
1
2
3
4
5
6
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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RESULTS CHALLENGE SOLUTION
Occidental Petroleum Levering the PI System
to Drive Change
Transform the way we work
Operate our fields more like a manufacturing plant using full field analytics
Increasing operational efficiency
• Use PI data to be able to predict and prevent upset conditions
• We’re still early in the game, but
we’re making progress in
transforming our operations
from reactive to predictive and
preventative
• Take advantage of the massive amounts of data we have in our PI systems to change our work processes
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Speaker Information
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• Denise Sherrod
• Chief of Automation
• Occidental Petroleum
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