using insights for arcgis to explore and understand risk...
TRANSCRIPT
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Copyright © 2018 G2 Integrated Solutions, LLC
Copyright © 2018 G2 Integrated Solutions, LLC
All rights reserved
Using Insights for ArcGIS to Explore and
Understand Risk Analysis Results
Dave Veilleux
GIS Workstream Manager, West Coast
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Copyright © 2018 G2 Integrated Solutions, LLC
COMPANY OVERVIEW
Safe and Compliant Operations
O&M Efficiencies and Optimization
Business Performance Outcomes
Solutions
Values
Enabling
Services &
Technologies
RISK & INTEGRITY
MANAGEMENT
SOLUTIONS
REGULATORY
COMPLIANCE
SOLUTIONS
ASSET
MANAGEMENT
SOLUTIONS
PERFORMANCE
OPTIMIZATION
SOLUTIONS
Software & TechnologyRegulatory
Field Assurance
Geospatial Systems
EngineeringAsset Integrity
Strategic Consulting
Safety Culture
Domain
UPSTREAM MIDSTREAM DOWNSTREAM
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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
Topics
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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 107-355)
• Hazardous Liquids – 49 CFR §195.452 – 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
Pipeline Risk Analysis – The Basics
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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 Relative – Index Based
o Quantitative - $$/mi Based
Pipeline Risk Analysis – Model Logic
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POF – Probability of
Failure
o Time Dependent
o Time Independent
COF – Consequence of
Failure
o Sensitive Receptors (HCA)
POF→FOF for our model
Pipeline Risk Analysis – Model Logic
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Exposure
Time Dependent Threats Mitigations
PODTDT
Resistance
POFTDT
Exposure
Time Independent Threats Mitigations
PODTIT
Resistance
POFTIT
POF
Product & Properties
Release Quantity
Dispersion
Hazard Zone
Receptors
COFHAZ
Mitigations
Spec. Deviation Mitigations
Service Interruption
Resistance
COFSI
COF
Risk
Example:MuhlbauerEnhanced PipelineRisk Model
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Risk alignment sheets
o Static documents
o Inflexible
Fit-for-purpose risk data viewers
o Don’t typically allow ad-hoc geospatial views
Traditional Risk Results Review Tools
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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
Insights for ArcGIS in ArcGIS Online
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Data Source Compatibility
o Hosted feature layers from your organization
o Databases (MSSQL, Oracle, etc)
o Excel workbooks
o CSV
o Living Atlas
Insights for ArcGIS in ArcGIS Online
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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
Publishing to ArcGIS Online
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Desktop
Insights
ArcGISOnline
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Insights Demonstration
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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
Conclusions & Future State
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Copyright © 2018 G2 Integrated Solutions, LLC
Copyright © 2018 G2 Integrated Solutions, LLC
All rights reserved
925-349-7712