Predictive Maintenance is well beyond hype. Organisations that have embraced this capability have experienced significant efficiency gain resulting in $ millions in savings. This presentation covers the benefits linked to predictive maintenance, what it delivers and how to make a success out of it.

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Formerly SPSS Ireland
Delivering significant efficiencies through
Predictive Maintenance in the Oil & Gas
Industry
Aberdeen, 10 March 2016

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1. Significant Financial Benefits linked to Predictive Maintenance
2. What Predicitve Maintenance is about
3. How Predictive Maintenance works
4. How to make a success of Predictive Maintenance
What I will cover
2

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Predictive Maintenance – Transforming of Maintenance
Business Model
3 Source: Roland Berger
2
75%
Reduction in breakdown
4
More data =
More
accuracy =
More value
1
$18 /hp p.a.
$9 /hp p.a
$13 /hp p.a.
3
15%Time spent on
Predictive
Maintenance only
75%
15%
Reactiveand
Preventive

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Predictive Analytics help connect data to effective action by
drawing reliable conclusions about current conditions and
future events
4
High
Low
Business
Value
Time
Past
Business
Intelligence
Sense and Response
Future
Predictive
Analytics
Predict and Act
Techniques and Data
• Optimisation, predictive modelling, forecasting, statistical analyis
• Structured/Unstructured Data, Internal/External Data, Massive
Data Sets
Driving Questions to be answered
• What will happen next? Why?
• Why is this happening?
• What if?
• What's the optimal scenario for our business?
Techniques and Data
• Reporting, dashboarding, alerts, queries
• Structured Data, Manageable Data Sets
Driving Questions to be answered
• What happened last quarter / month /week?
• How many pumps did break down? How much did we
spend on maintenance? How much downtime on
these assets? How many preventive actions have we
completed?
• Where is the problem?

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How does Predictive Maintenance deliver?
Unearthing characteristics that lead to an
increased frequency of failures
Predicting impact or consequence scores to
enhance Alarms Management so that key alarm
events are prioritised
Identifying factors that increase ownership cost and
downtime over the life of a system
Identifying assets at risk of failure even
when they have no previous failure history
Mining free text from thousands of logs that describe the maintenance performed
on systems to accurately categorise maintenance reports and identify areas of risk
Finding patterns in maintenance operations
that could point to opportunities for
improvements

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What if I could tell you that a specific asset is 90% likely to fail
within one week for Reasons A, B and C?
6
Data Predictive Models -
Insights
Actions
(Work Order)
Anomaly Detection
Diagnostic Analysis
Recommendations and
decision support
What should be done next?
Priortisation
What to attend to first
depending on fault severity?
Evaluate impact
Procurement & Supply Chain
Sensors
GIS
Data Historian
Asset Management
Maintenance Management
Automation
Change Management
Real Time
Other Sources

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How to deliver a Predictive Analytics Project succesfully
7
Determine Business
Objectives and Data Mining
Goals
1
Collect, describe, explore
and verify quality of Data
2
Select, clean, construct,
integrate and format data
3
Select, Generate, Build and
Evaluate Models
4
Evaluate how the results
help to achieve business
objectives
5
Integrate new knowledge
into your business
processes
6
Business
Understanding
Data
Understanding
Data
Preparation
Modelling
Evaluation
Deployment

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Asset Data
Availability
Criticality
of Failure
Trust in
Predictive
Technology
When Predictive Maintenance works well
8
Actionable Insights – Return on Investment

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Challenges
9
Heterogeneous Assets
Changing Operating Conditions
Interoperability

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End-to-End approach is required
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2.1 Tactical Audit for
Advanced Analytics
2.2 Maturity
Assessment for
Advanced Analytics
2.3 Roadmapping and
Business Case
Development
3.1 Advanced
Analytics
Capability
Building
4.1 Performance
Monitoring and
Business Benefits
Realisation
2. Prepare yourself for success in Advanced Analytics
3. Improve
business
performance
4. Sustain
improved
performance
1.1 Advanced
Analytics
Transformation
Workshop
1. Learn how
Advanced
Analytics can
transform your
organisation

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What if you could deliver these numbers…
11 Source: us department of energy's o&m best practise guide,
Imagine if you add IoT data
4
10 xReturn on Investment
1
25%Increase in production
output
30%
2
Reduction in maintenance
costs
45%
3
Reduction in downtime

12. © Presidion 2016
www.presidion.com
Pierre.baviera@presidion.com
Q & A
Thank You