Using Insights for ArcGIS to Explore and Understand Risk Analysis Results
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1 Using Insights for ArcGIS to Explore and Understand Risk Analysis Results Dave Veilleux GIS Workstream Manager, West Coast All rights reserved 1 1
2 COMPANY OVERVIEW Domain UPSTREAM MIDSTREAM DOWNSTREAM O&M Efficiencies and Optimization Values Safe and Compliant Operations Business Performance Outcomes Solutions RISK & INTEGRITY MANAGEMENT SOLUTIONS REGULATORY COMPLIANCE SOLUTIONS ASSET MANAGEMENT SOLUTIONS PERFORMANCE OPTIMIZATION SOLUTIONS Enabling Services & Technologies 2 Regulatory Asset Integrity Safety Culture Engineering Geospatial Systems Field Assurance Software & Technology Strategic Consulting
3 Topics Overview of pipeline risk analysis o How does it work? o Why do we need a viewer Why use Insights for ArcGIS as a data exploration tool o Limitations of traditional methods o Review of recent advancements in Insights Prepping Data for use in ArcGIS Online Insights demo Conclusions 3
4 Pipeline Risk Analysis The Basics An understanding of risk is critical to safely operating pipeline assets o Identified threats of concern dictate: Assessment methods used to evaluate pipe condition Preventative and mitigative measures Risk Analysis is required for regulatory compliance o Pipeline Safety Improvement Act of 2002 (PL ) Hazardous Liquids 49 CFR Integrity program management requirements effective starting in 2002 Hazardous liquids lines that could affect an HCA are subject to integrity management program requirements Natural Gas - 49 CFR 192 Subpart O Integrity program management requirements effective starting in 2004 Natural gas lines in HCAs are subject to integrity management program requirements 4
5 Pipeline Risk Analysis Model Logic Risk model logic must conform to defined industry standards o API RP 1173 Pipeline Safety Management Systems ASME B31.8S Managing System Integrity of Natural Gas Pipelines, section 5 API 1160 Managing System Integrity for Hazardous Liquids Pipelines, section 7 Relative and Quantitative o o Relative Index Based Quantitative - $$/mi Based 5
6 Pipeline Risk Analysis Model Logic POF Probability of Failure Exposure Time Dependent Threats POD TDT Mitigations POF TDT Resistance Example: Muhlbauer Enhanced Pipeline Risk Model o o Time Dependent Time Independent POF TIT POF COF Consequence of Failure Exposure Time Independent Threats POD TIT Mitigations Resistance o Sensitive Receptors (HCA) Risk POF FOF for our model Product & Properties Hazard Zone COF HAZ Release Quantity Mitigations Receptors Dispersion COF Service Interruption COF SI Spec. Deviation Mitigations Resistance 6
7 Traditional Risk Results Review Tools Risk alignment sheets o Static documents o Inflexible Fit-for-purpose risk data viewers o Don t typically allow ad-hoc geospatial views 7
8 Insights for ArcGIS in ArcGIS Online Insights was released on ArcGIS Online in December, 2017 o Low-cost, readily accessible data hosting environment o Does not require full Esri on-premises platform + = o Next generation web graphics Quick performance with large datasets The 2.0 Insights release also included a new graph type critical to risk data analysis o Scatter plot Useful for profile displays 8
9 Insights for ArcGIS in ArcGIS Online Data Source Compatibility o Hosted feature layers from your organization o Databases (MSSQL, Oracle, etc) o Excel workbooks + = o CSV o Living Atlas 9
10 Publishing to ArcGIS Online Start with dynamically segmented risk results o Route identifier, from- and to- measure/station values on each row in the output o Relational database table, Microsoft Access or Excel are typical raw sources Create an ArcMap route event layer (features)and export to a geodatabase Publish to ArcGIS Online as a hosted feature layer o Feature access enabled Consume in Insights o Insights is a premium app and requires separate licensing beyond AGOL level 2 named users Desktop Insights ArcGIS Online 10
11 Insights Demonstration 11
12 Conclusions & Future State Insights is a good tool for exploring large, complex datasets o High performing o Flexible o Convenient o Enables non-traditional GIS users Still needs improvement o Enhancements to scatter plots Multiple scatter plot variables sharing a common X-axis o Performance o License integration with named user accounts 17
13 QUESTIONS All rights reserved 18
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