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Pipeline analytics concept for posting

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Information about Pipeline analytics concept for posting
Business & Mgmt

Published on February 18, 2014

Author: MarkPeco

Source: slideshare.net

Description

Applications of Analytics Concepts to the Challenges of the Oil and Gas Pipeline Industry
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INTRODUCING PIPELINE ANALYTICS Capabilities to Improve Operating Performance of Oil & Gas Pipeline Companies

Opportunities for Pipeline Analytics REGULATORY COMPLIANCE

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

Opportunities for Pipeline Analytics SAFETY MANAGEMENT

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

Opportunities for Pipeline Analytics PIPELINE INTEGRITY MANAGEMENT

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

Opportunities for Pipeline Analytics PLANT RELIABILITY MANAGEMENT

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

Introducing Pipeline Analytics REQUIRED BUSINESS CAPABILITIES

Business Capabilities In everything we do, learning and experience raises our capability to … • Anticipate future conditions • Identify unusual situations • Drive improved results So What?

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!

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

Introducing Pipeline Analytics REQUIRED ANALYTICAL CAPABILITIES

Analytical Capabilities Combine Data with Math Models and a Business Domain

Analytical Capabilities Drive Enable Impact Results Value Analytical Capabilities Business Capabilities Business Outcomes

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

Example of Pipeline Analytics PREDICTIVE COMPLIANCE EXAMPLE

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?

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

Example of Pipeline Analytics PREDICTIVE CAPITAL MANAGEMENT

Predictive Capital Management Increase Project Control Levels

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

Example of Pipeline Analytics PREDICTIVE PLANT MONITORING

Predictive Plant Monitoring Predict Plant or Equipment Failures

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

Introducing Pipeline Analytics GETTING STARTED

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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