From Digital Oilfield to Digital Transformation to Full Field Analytics … · 2019-04-12 · From...

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#PIWorld ©2019 OSIsoft, LLC From Digital Oilfield to Digital Transformation to Full Field Analytics Presented by: Denise Sherrod 1

Transcript of From Digital Oilfield to Digital Transformation to Full Field Analytics … · 2019-04-12 · From...

Page 1: From Digital Oilfield to Digital Transformation to Full Field Analytics … · 2019-04-12 · From Digital Transformation to Full Field Analytics 1 - Routine InspectionManual Exception

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From Digital Oilfield to Digital Transformation to Full Field Analytics

Presented by: Denise Sherrod

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#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

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

6

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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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

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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

6

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

6

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

[email protected]

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