Maximo data standardization for the Oil Gas Industry

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Maximo data standardization for the Oil & Gas Industry Presented by: Hans Franck –

Maximo data standardization for the Oil & Gas Industry Presented by: Hans Franck – VP Americas 1

Introduction Mr. Hans Franck, BSc CMRP VP Max. Grip Americas hans. franck@maxgrip. com +10

Introduction Mr. Hans Franck, BSc CMRP VP Max. Grip Americas hans. [email protected] com +10 cross industry reliability & maintenance experience Amateur Basketball 2

Listening to end users – Business Challenge O&G What we have we learned from

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. • ISO 14224 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 3

Typical wins for large O&G companies Over the past 20 years we have found

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: 4

Data quality enables safety and reliability Root Cause Analysis KPIs Reliability into Daily Practice

Data quality enables safety and reliability Root Cause Analysis KPIs Reliability into Daily Practice Work Processes BOM & Critical Spares RCM Risk Based Maintenance RBI Asset and PM Library Hazop Performance Standards Safety and Integrity Safety Critical Equipment Asset Register Checks Asset Register Build Master Data Management EAM & APM Blueprinting

Solution Step 1 – Develop Data Standard Should you simply apply the standard? 6

Solution Step 1 – Develop Data Standard Should you simply apply the standard? 6

Solution Step 2 - Prioritize Visualize which critical assets have low performance Effect on

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 Drill down indicates performance loss because of insufficient preventive maintenance 7

Solution Step 3 - Standardize Use Library with data templates to standardize and improve

Solution Step 3 - Standardize Use Library with data templates to standardize and improve Maximo data quality and asset performance for critical Equipment Types Optimized PM data templates for each Asset Type Template content for O&G equipment (ISO 14224): • Asset Components • Failure Modes • Preventive Maintenance Schedules • Maintenance Task Descriptions 8

Solution Step 4 - Deploy Copy templates to Assets or Locations manually and/or by

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) 9

Solution Step 5 – Monitor and optimize After standardizing and improving the Maximo Master

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 10

Case study: Oil and Gas Major implementation of PML Goal of Preventative Maintenance Library:

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. 3 M recurring annual costs savings 11

Wrap up Good data is the basis for good asset performance management. 1. Agree

Wrap up Good data is the basis for good asset performance management. 1. Agree upon a standard; ISO 14224 good start but needs details to apply. Consistent and rigorous application of the standard 2. Prioritize efforts to ensure quick wins and fast value 3. Develop a library and Apply templates of standardized maintenance data. It is a proven way to establish baseline to improve on. 4. Standardization is most effective as a living program approach If you would like more information, visit at booth 110 12

Thank you! Demonstrate risks and value Connect the dots Simplicity Get it done Contact

Thank you! Demonstrate risks and value Connect the dots Simplicity Get it done Contact us: www. maxgrip. com [email protected] com 13

Client portfolio - Oil & Gas 14

Client portfolio - Oil & Gas 14