gaining insights: geospatial - deloitte united states€¦ · geospatial sensors. geospatial...
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2019 Deloitte Power & Utilities ConferencePower is not staticDecember 3-4, 2019
Bits, Bytes & Barrels” webinar
Gaining insights:
Geospatial and the utility
Robert Renner, specialist leader, Deloitte & Touche LLP
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Facilities Routes Partners/competitors Service areas Customer addresses GPS locations—customers
Geospatial data
Spatial analysis – Perform proximity or statistical analyses to detect patterns or trends Visualizations – View
assets with other data
Geospatial software
Mobile / GPS
Smart labels / RFID
Internet of Things
Geospatial sensors
Geospatial analytics: the collection, visualization, and analysis of data that can be tied to a geographic location on, above or below the Earth’s surface.
Location intelligence: Leveraging the power of where to reveal insights from your enterprise data
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Geographic Information Systems (GIS) are critical to any utility’s business, and location information is at the heart of almost everything you do in utilities - from field operations to financial analytics
Location matters
Identifying locations at risk or in need of maintenance
Integrate with OMS/ADMSModel revenue
Real-time tracking and automated vehicle location
Integrate with SCADA
Support improved data management
GIS Mobile support for field crews
Customer care and billing, smart meter integration
Integrate with work and asset management systemsAsset design /
system of record
Scheduling and dispatch management
Analytics, visualization, and reporting
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• The Pipeline and Hazardous Materials Safety Administration (PHMSA) was challenged to gather more insight from its vast array of spatial data
• Geospatial analysts developed a predictive risk model for pipeline segments.
• Considered proximity to water reserves, ecologically sensitive areas and densely populated zones to calculate the impact of an incident.
• Pipeline risk was considered a function of vulnerability and impact. Results support better planning and mitigation
The Issue
The Approach
The Impact Users of the pipeline risk application can drill down on incidents, and specific sections of pipeline to identify areas with the greatest potential risk.
Case study 1: PHMSA pipeline risk analytics
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Approach: multi-variate correlation for distribution risk analyticsCase study 2: Major gas utility risk analytics
Data integration and cleansing
• Integrated 375,000 variables/data records from multiple sources, out of which 28,000 were cleansed to promote data integrity
Data analysis
• Assigned predictive risk factors and accounted for external factors to identify statistically significant correlations 490% more frequently than average
GIS location of risk factors
• Developed a user-friendly consumer layer to embed analytics into the utility’s cast iron replacement program and visualized composite risk scores using predictive model to highlight granularity
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Many relevant data sources and tools are available to help model and quantify risk from hurricanes and major storms to utilities and other types of critical infrastructure
Storm surge and flood risk to utility infrastructure
Pre-event models and data sources
• Utility infrastructure data
• LiDAR imagery/high resolution elevation data from USGS
− Many states have complete coverage of high resolution (20 ft) elevation data
• SLOSH models
− NOAA, FEMA, USACE collaborative modeling that simulates storm surge from Category 1 – 5 storms in multiple basins around the country
• Land use/land cover data
− National data available at moderate scale (30m resolution), many states and municipalities have higher resolution
• FEMA floodplain boundaries
Post Event
Source: https://www.nhc.noaa.gov/surge/slosh.php
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After major storms, FEMA and their partners in federal and state agencies publish massive volumes of spatial data
Storm surge and flood risk to utility infrastructure
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Geospatial technology provides a location-based view of an organization’s footprint. When combined with data from multiple sources, this information can be used to understand where risks may occur, analyze various mitigation techniques, and monitor risks and risk management actions over time.
Improving utility resilience through the use of geospatial risk analytics
Risk monitoring and controlGeospatial technology can provide a window into operations, allowing for risks or their effects to be recognized as they are realized.
Risk avoidance or mitigationGeospatial information can help analyze methods of avoiding or reducing risk by evaluating changes to business.
Risk identificationGeospatial information helps understand and predict where risk may occur
This presentation contains general information only and Deloitte is not, by means of this presentation, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This presentation is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional advisor.
Deloitte shall not be responsible for any loss sustained by any person who relies on this presentation.
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