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Pipeline analytics concept for posting

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Applications of Analytics Concepts to the Challenges of the Oil and Gas Pipeline Industry

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Pipeline analytics concept for posting

  1. 1. INTRODUCING PIPELINE ANALYTICS Capabilities to Improve Operating Performance of Oil & Gas Pipeline Companies
  2. 2. Opportunities for Pipeline Analytics REGULATORY COMPLIANCE
  3. 3. Regulatory Compliance Management How do we find the weak links in our compliance process? Our audit performance is not acceptable! What am I missing? Is there some sort of a pattern? VP Operations Regional Field Manager
  4. 4. Opportunities for Pipeline Analytics SAFETY MANAGEMENT
  5. 5. Monitoring Field Safety Performance We have lots of data from our incident reports. But, how we can connect the dots to see changing conditions so we can prevent future incidents? With all this data available…. How can I find the factors that lead to safety incidents? Director of Process Safety Division Superintendent
  6. 6. Opportunities for Pipeline Analytics PIPELINE INTEGRITY MANAGEMENT
  7. 7. Pipeline Integrity Management How much confidence do we have with the latest pigging results? Are we able to see any patterns linking defects to some sort of root cause? We have all this pigging and maintenance data… How can I find something useful? Director Asset Integrity Integrity Engineer
  8. 8. Opportunities for Pipeline Analytics PLANT RELIABILITY MANAGEMENT
  9. 9. Plant Reliability Management Haven’t we seen this pattern of compressor shutdowns before? Why can’t we seem to learn from our own experience? Out maintenance systems collect all this data … It is tough to find any patterns. Plant Reliability Manager Plant Maintenance Engineer
  10. 10. Introducing Pipeline Analytics REQUIRED BUSINESS CAPABILITIES
  11. 11. Business Capabilities In everything we do, learning and experience raises our capability to … • Anticipate future conditions • Identify unusual situations • Drive improved results So What?
  12. 12. Business Capabilities Pipeline companies can learn from their operating experience…. • Connect the dots in your business and operations • Learn the combination of conditions that change your risk profile • Identify emerging conditions where proactive management is appropriate • Learn what levers to pull to mitigate risks • Understand what factors are driving your results • Improve budgeting processes • Change how you allocate resources • Turn historical data into leading indicators of operations • Become proactive • Anticipate the future with more confidence That’s So What!
  13. 13. Business Capabilities Example Opportunities for Pipeline Companies • Predict future conditions, risks or events • • • • Classify current operating conditions and events • • • • Compliance Performance Safety Incidents Integrity Risks Normal vs abnormal Proactively reduce or eliminate negative impacts Leading indicators of future incidents or changing risks Optimize resource allocation • • • Pipe replacement spending Maintenance plans Staff development
  14. 14. Introducing Pipeline Analytics REQUIRED ANALYTICAL CAPABILITIES
  15. 15. Analytical Capabilities Combine Data with Math Models and a Business Domain
  16. 16. Analytical Capabilities Drive Enable Impact Results Value Analytical Capabilities Business Capabilities Business Outcomes
  17. 17. Analytical Capabilities Pipeline Analytics provides the Capability to... • Predict • Classify • Optimize In areas relevant to your pipeline operations Savvy operators can leverage this Capability to proactively improve process performance in areas such as … • • • • Compliance Integrity Safety Capital Control
  18. 18. Example of Pipeline Analytics PREDICTIVE COMPLIANCE EXAMPLE
  19. 19. Predictive Compliance Demonstrate and Predict Compliance Performance Functional Managers How are we doing? How can we improve? Why are we getting these results? What is likely to be our future results?
  20. 20. Predictive Compliance Demonstrate and Predict Compliance Performance Compliance Data Integrated Data Analytic Techniques Monitoring and Learning Logistic Regression Classification Standard Data Format Principal Components Analysis Control Charts Assume an Indicator has been designed to measure Compliance Performance Values less than 90 are out of range based on Strategic Objectives
  21. 21. Example of Pipeline Analytics PREDICTIVE CAPITAL MANAGEMENT
  22. 22. Predictive Capital Management Increase Project Control Levels
  23. 23. Predictive Capital Management Increase Project Control Levels Project Performance Data Integrated Data Analytic Models Monitoring and Learning Logistic Regression Classification Standard Data Format Principal Components Analysis Control Charts Assume an Indicator has been designed to measure Project Performance Values less than 80 are out of range based on Strategic Objectives
  24. 24. Example of Pipeline Analytics PREDICTIVE PLANT MONITORING
  25. 25. Predictive Plant Monitoring Predict Plant or Equipment Failures
  26. 26. Predictive Plant Monitoring Predict Plant or Equipment Failures Plant Performance Data Integrated Data Analytic Models Monitoring and Learning Logistic Regression Classification Standard Data Format Principal Components Analysis Control Charts Assume an Indicator has been designed to measure Plant Performance Values less than 80 are out of range for Reliability & Availability and above 60 for Failure Probability based on Strategic Objectives
  27. 27. Introducing Pipeline Analytics GETTING STARTED
  28. 28. I am seeking feedback from Pipeline Professionals in general, about the need and opportunities for “Pipeline Analytics” to help companies improve their performance and address some of their many challenges. I would enjoy engaging in discussions with you to refine these ideas and to make a useful contribution to the pipeline sector. Please Provide Comments and Feedback to: Mark Peco mark.peco@gmail.com

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