Optimize Safety and Profitability by Use of the ISO 14224 Standard and Big Data Analytics
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The document discusses how the ISO 14224 standard and big data analytics can enhance safety and profitability in the oil and gas industry by providing a structured approach to data management in risk and reliability. It emphasizes the distinction between digitization and digitalization, detailing how digital transformation can improve decision-making, risk management processes, and equipment reliability through better data quality and classification. The concluding remarks highlight the potential for digitalization to make operations more sustainable and effective, reinforcing the importance of standardized practices.
Optimize Safety and Profitability by Use of the ISO 14224 Standard and Big Data Analytics
- 1. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 1 OTC-29634-MS Optimize Safety and Profitability by Use of the ISO 14224 Standard and Big Data Analytics V. Ciliberti, Reliability Dynamics LLC R. Østebø, Equinor ASA J. Selvik, NORCE F. Alhanati, C-FER Technologies
- 2. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 2 Presentation Overview 1. Potential business value from digital transformation 2. Digitization versus digitalization 3. How application of the ISO 14224 standard in enterprise software can enable digitalization and real-time risk and reliability management 4. Risk and reliability data quality management 5. Industry application example 6. Use of ISO 14224 in technology development and qualification 7. Concluding remarks
- 3. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 3 Business Value from Digitalizing Equipment Reliability and Risk Data Make better decisions for equipment • Minimize operational risk • Optimize production and profitability ISO 14224 provides • A data structure for digital transformation • A toolset for data-driven decision- making • Corporate view of equipment risk and reliability vs. health, safety, and environmental (HSE) and profitability
- 4. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 4 Real-Time Risk Management Business requirements • Ability to analyze multiple datasets simultaneously • Practical to use Data requirements • Digitalized via relational data architecture • Integrated risk data, operational data, and reliability data • High-quality, structured data
- 5. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 5 Digitization versus Digitalization The Evolution of Data Digitization: Images/unformatted text • Refers to taking analog or paper information and encoding it so computers can store, process, and transmit such information Digitalization: Relational data • The use of digital technologies to change a business model and provide new revenue and value- producing opportunities
- 6. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 6 Example of Digitized Risk Data ESD-23 Fail-to-Close Scenario • Equipment item (ESD-23) not discretely identified • Consequence ID not specified • Safeguards not discretely identified • Recommendations not discretely identified
- 7. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 7 Example of Digitalized Transformation ESD-23 Fail-to-Close Scenario Discrete identification of scenario and equipment reference objects ISO 14224 notations used to describe failure scenarios • Failure modes • Failure impact/effect (incipient/degraded/critical) • Condition before malfunction • Potential component failures and their failure mechanisms • Risk (consequences and their probabilities) • Potential failure causes • Safeguards and their assumed risk reduction
- 8. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 8 ISO 14224 Data Structure Equipment Risk and Reliability and Maintenance (RM) Data Processes
- 9. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 9 ISO 14224 Taxonomy Classification Data architecture • Use/Location data are specified as attributes using classification • Equipment subdivision is represented in the technical hierarchy
- 10. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 10 Technical Hierarchy Example of Oil and Gas Midstream Application (K-102 Compressor)
- 11. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 11 Construction of Technical Hierarchy Starting Point: Technical Drawings and Records (K-102 Compressor) ISO 14224 boundary for K-102 Compressor
- 12. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 12 ISO 14224:2016 Boundary Definition Map Technical Tags into Boundary Definitions
- 13. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 13 ISO 14224:2016 Equipment Subdivision Map Technical Tags into Subunits
- 14. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 14 Data Architecture in ERP System Object Classification Technical Structure
- 15. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 15 Equipment Failure Report (Work Initiation) Equipment-level Notations
- 16. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 16 Equipment Failure Report (Work Close-out) Component-Level Notations
- 17. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 17 Equipment Failure Consequence Specification Enables Corporate View of HSE and Profitability ISO 14224:2016, Table C.2 – Failure-consequence classification
- 18. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 18 Corporate Real-time Risk and Reliability Metrics
- 19. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 19 Reliability and Maintenance Data Quality Management ISO 14224, Clause 7 Quality Assurance Proactive measures that increase likelihood completed records are correct, e.g.: • Standard technical hierarchy and data collection Quality Control Post-completion sampling, e.g.: • Review of completed records to ensure data compliance, with feedback to field personnel
- 20. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 20 Quality Management is Key for Reliability and Maintenance (RM) and Risk Data ISO 9001:2015 - Quality management systems -- Requirements For management of uncertainty related to objectives, organizations need to evaluate effectiveness of key processes, where a risk-based approach should be adopted • Objectives are to prevent equipment failures, mitigate severe consequences, and achieve continual improvement • It is important to have quality RM data for evaluation of the effect of the actions taken and by that to allow for decision making that is risk-informed • Collection of RM data is costly and RM data collection efforts of should be balanced against intended use and benefits • RM data should be available and compatible with different systems, allowing for synchronization and improvement of data quality
- 21. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 21 Improving Design and Condition Monitoring for ESP Systems ESP-RIFTS JIP – data collection in a format that is highly compatible with ISO 14224 • Consistent with system boundary, failed items, failure mechanisms and failure causes • Adopted by ISO 15551-1 (Annex I) Benefits • Operators able to make more informed design decisions (e.g. motor model, intake pressure), to identify main failure mechanisms of concern, and to guide collaboration with manufacturers • Allows for investigations on the effects of equipment trim and operating practices on ESP system reliability Now exploring use of the data for condition monitoring • Models being developed to predict probability of failure as a function of equipment characteristics and real time operating conditions • Allows operators to determine when it makes sense to implement changes in operating conditions (to extend run-life) and/or schedule a preventive pull (to minimize production losses)
- 22. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 22 Technology development and technology qualification ISO 14224 + ISO 20815 for individual or portfolio of Technology Qualification elements Production Assurance Programme (PAP) + Reliability Management Programme (RMP) Technology development and relations to technology qualification programmes (TQP), as well as used into field development Performance objectives and requirements • ISO 20815, Annex F (e.g. reliability target framing for TRL4 – qualified technology) • ISO 14224, Annex E (list of KPI) and is essential for TRL7 acceptance (proven technology) Prioritization and qualified use of relevant analyses (with respect to HSE, production and cost). Analysis & data for associated decision-support • ISO 20815 provides analysis techniques (+new ISO Technology Readiness Level (TRL) table) • ISO 14224 provides data framework (boundaries, metrics, etc.) (+normative Failure modes, Failure mechanisms, and Failure causes)
- 23. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 23 Concluding Remarks Digitalization and Big Data Analytics give oil and gas companies new potential to transform oil and gas operations to be more sustainable, safe and profitable The ISO 14224 standard provides a data structure and methods for digitalization of equipment RM and risk data Standardization is important and ISO standards are key to achieve business objectives
- 24. Paper No. OTC-29634-MS • Optimize Safety and Profitability by use of the ISO 14224 Standard and Big Data Analytics • V. Ciliberti, R. Østebø, J. Selvik, F. Alhanati Slide 24 Acknowledgements/Thank You/Questions • ISO/TC67 management • Authors: Reliability Dynamics, Equinor, NORCE, and C-FER Technologies
Editor's Notes
- #16: As promised, here is Table 6 on the left, required failure data. Work is initiated via a malfunction problem report, a view for capturing equipment level failure details, as that is typically all you will have when first reporting a problem. These data include: Relevant technical tag; It’s failure mode, failure effect, and condition before malfunction; Detection method; Malfunction start date and time; Text descriptions, priority, etc. A couple things of note: Failure modes are equipment class-specific (per Annex B). The system validates data required at this reporting stage.
- #17: Once the repair is completed, you will know component level failure details. You are able then able to complete the Malfunction Repair Report, to collect: The primary failure component and its failure mechanism, root cause, and corrective activity; The malfunction end date; and Text descriptions, etc. Once completed, the malfunction report is placed in completed system status. The system validates required data at close-out.
- #23: ISO 14224 provides data input (boundaries, metrics) Reliability and maintenance (RM) data and parameters and normative tables for failure modes, failure mechanisms and failure causes Battery limits of TQ element itself and its failure consequences on item-system-infrastructure level ISO 20815 provides analysis techniques, e.g. Failure mode, effects and criticality analysis (FMECA), reliability testing and reliability and availability modeling New ISO Technology Readiness Level (TRL) table Reliability data qualification – important for quality data input