1. Maximo data standardization for the Oil & Gas Industry
Presented by:
Hans Franck – VP Americas
45 min presentation
Educational purpose
Mainly Oil and Gas customers
All Maximo users

2. Introduction
Mr. Hans Franck, BSc CMRP +10 cross industry reliability & maintenance
VP MaxGrip Americas experience
Amateur Basketball
2 min

3. Listening to end users – Business Challenge O&G
What we have we learned from O&G end users:
O&G customers typically have production sites widely varying in maturity, culture, organization, size, asset age, etc.
ISO14224 is a good start but not an all encompassing solution
Effect on maintenance management:
Standardizing Maximo Maintenance Master Data across a large asset base is a challenge
Effect on the company:
Bad data leads to HSE risk, reduced output and increasing maintenance costs
2 min: Do you recognize this, what is your experience

4. Typical wins for large O&G companies
Over the past 20 years we have found many benefits for improving and standardizing Maximo Maintenance Master Data in O&G:
Eliminate over-maintenance:
15-30% preventive maintenance spend reduction
Preventing under-maintenance
25-50% unscheduled downtime reduction
Additional benefits: HSE compliance, spare parts optimization, Work Order back log reduction, maintenance capex/opex control
Return on Investment confirmed by O&G end users:
$1 invested leads to $10 to $15 in recurring performance improvement
Investment typically earned back within first 12 months
Data standardization examples:
5 min

5. Data quality enables safety and reliability
Reliability into Daily Practice
Root Cause Analysis
KPIs
Work Processes
Risk Based Maintenance
BOM & Critical Spares
RCM
RBI
Asset and PM Library
Safety and Integrity
Hazop
Performance Standards
Safety Critical Equipment
Asset Register Checks
Master Data Management
3 min: Data is foundation for mature reliability and safety culture
I will go through 5 steps of data standardization of PM data.
Develop data standards
Prioritize
Standardize
Deploy
Improve
Asset Register Build
EAM & APM Blueprinting

6. Solution Step 1 – Develop Data Standard
Should you simply apply the standard?
5 min
ISO14224 standard:
+ Most apply taxonomy and call it ISO14224
+ Who collects reliability data based on ISO14224?

7. Solution Step 2 - Prioritize
Visualize which critical assets have low performance
Effect on Availability when asset fails
Performance
drill down report for critical assets
Probability of Asset Failure
Focus on high critical assets
2 minute:
Comparison tool
Group data on asset types
Find top 10 to start and focus on
Drill down indicates performance loss because of insufficient preventive maintenance

8. Solution Step 3 - Standardize
Use Library with data templates to standardize and improve Maximo data quality and asset performance for critical Equipment Types
Template content for O&G equipment (ISO14224):
Asset Components
Failure Modes
Preventive Maintenance Schedules
Maintenance Task Descriptions
Optimized PM data templates for each Asset Type
5 min: 10 year experience of building maintenance libraries in O&G, mainly partner with Shell.
Structured on ISO14224 classes
Between 100 and 150 templates to keep it managable
Living program is keep to make it a success
SME/Technical Authorities should own the content, not the process
In larger (multi nationalas) Localization is to be expected
Fast implementation of baseline best practices
Proven method to start of reliability program
Prioritizition makes it possible to fit to all organizational needs (top 2 to all asse types)
Creating templates is an important part of the success.
MaxGrip has a library of 100 proven maintenance templates ready to be used in Maximo as is or can be altered to your specific needs.

9. Solution Step 4 - Deploy
Copy templates to Assets or Locations manually and/or by using automated business rules
Match asset group to template
Automated business rules (Where Clauses)
Localize template
Manual selection of Assets and Locations
Apply data template
Operationalize data (grouping, peak shaving etc)
5 min
Process is mature and tested
Can be done partly automated

10. Solution Step 5 – Monitor and optimize
After standardizing and improving the Maximo Master Data, use BIRT, Start Center and Cognos for monitoring and optimization.
Use data quality and performance reporting to monitor and optimize
2 min: Living program

11. Case study: Oil and Gas Major implementation of PML
Goal of Preventative Maintenance Library:
Good quality localized PM strategies based on global library
Sufficient coverage of equipment types
PM compliance
LNG plant, 2 trains. ~100,000 tags, 7000 PM
$1.3M recurring annual costs savings
3 min

12. Wrap up Good data is the basis for good asset performance management.
Agree upon a standard; ISO14224 good start but needs details to apply. Consistent and rigorous application of the standard
Prioritize efforts to ensure quick wins and fast value
Develop a library and Apply templates of standardized maintenance data. It is a proven way to establish baseline to improve on.
Standardization is most effective as a living program approach
If you would like more information, visit at booth 110
5 min

13. Thank you! Demonstrate risks and value Connect the dots Simplicity
Get it done
Contact us:

14. Client portfolio - Oil & Gas
Shell: CIMS, PML, Curlew, RCM downstream
Petronas: Master data team Carigali
Vopak: ME2, Optimizer+
Wintershall: Optimizer+