FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)

FME for
Distribution & Transmission
Integrity Management Programs
(DIMP & TIMP)
Peoples Gas
The Peak of Data
and AI 2025

• Background
• TIMP & DIMP Overview
• FME – Our Solution
• FME Workspace Overview
• Conclusion & Lessons Learned
Agenda

2025
The
Peak
of
Data
and
AI
North Shore Gas (NSG) &
Peoples Gas (PGL)
● Customers
○ PGL: 970,000+
○ NSG: 166,000+
● Services
○ PGL: 511,000+
○ NSG: 147,000+
● Gas Main
○ PGL
■ Distribution: 4,700+ Miles
■ Transmission: 330+ Miles
○ NSG:
■ Distribution: 2,300+ Miles
■ Transmission: 57+ Miles

2025
The
Peak
of
Data
and
AI
● Spatial Analysis & Automation
● Reporting
● Data Integration
● Web Mapping
● Regulatory Support
○ Pipeline Integrity Management
● Other / Miscellaneous
FME at PGL & NSG

TIMP & DIMP
Overview
Section 2

2025
The
Peak
of
Data
and
AI
● Pipeline and Hazardous Materials Safety
Administration (PHMSA) – issued rule in 2004
● Purpose: “…specify how pipeline operators must
identify, prioritize, assess, evaluate, repair and validate
the integrity of gas transmission pipelines that could, in
the event of a leak or failure, affect High Consequence
Areas (HCAs) within the United States”
Source: https://www.phmsa.dot.gov/
Transmission Integrity
Management Program

2025
The
Peak
of
Data
and
AI
● Pipeline and Hazardous Materials Safety
Administration (PHMSA) – issued rule in 2009
● Purpose: “…regulations aim to assure pipeline integrity
and further improve the safety of pipeline transportation
of energy products”
● Understand system design & material characteristics,
operating conditions & environment, and maintenance
& operating history
● Identify existing & potential threats
● Evaluate and rank risks
Source: https://www.phmsa.dot.gov/
Distribution Integrity
Management Program

2025
The
Peak
of
Data
and
AI
● PGL & NSG contracted a 3rd
party vendor to
provide DIMP & TIMP Software solutions
● What does the vendor software do?
○ Provides a probabilistic risk model
○ Predicts system risk
● PGL/NSG must provide data in speciﬁed
format to support data model
Where does FME enter the picture?

FME – Our Solution
Section 3

2025
The
Peak
of
Data
and
AI
● Phase 1: Data Source Gathering
○ Vendor provides ETL Spec
○ Business gathers data sources and
identifies gaps
● Phase 2: Attribute & Value Mapping
● Phase 3: Establish logic for
transformations & backfilling data
● Phase 4: Create FME Workflow(s)
FME for DIMP& TIMP

2025
The
Peak
of
Data
and
AI
● Simple :
○ Material
○ Pressure
Transformations & Translations

2025
The
Peak
of
Data
and
AI
Simple :
Conditional Value -
mapping pressure to
numeric value based
on company

2025
The
Peak
of
Data
and
AI
● Simple:
○ Material & Pressure
● Moderate:
○ Missing values – use connected or adjacent
○ Incorrect values – identify & address
○ Spatially assign neighborhood value to each
segment

2025
The
Peak
of
Data
and
AI
Assign Neighborhood to Gas Main Segment

2025
The
Peak
of
Data
and
AI
● Simple :
○ Material & Pressure
● Moderate :
○ Missing values – use connected or adjacent
○ Incorrect values – identify & address
○ Spatially assign neighborhood value to each
segment
● Complex:
○ Number of ﬁttings on a gas main segment
○ Connected Main ID

2025
The
Peak
of
Data
and
AI
# of Fittings per Segment

2025
The
Peak
of
Data
and
AI
ESRI File
Geodatabase
• Gas Main
• Service
• Riser
• Meter
• Valve
• Regulator
• Leaks
• Land Base
• Natural Hazards
• Integrity Surveys
• One Call
• Etc…
DIMP &
TIMP
Software
CSVs
(Event Tables)
General Workﬂow

2025
The
Peak
of
Data
and
AI
● GIS
○ ESRI Utility Network
○ Land Base / Boundary Data
○ Natural Disaster Data
● Facility Management
● Customer Database
● Leak Data
● One Call Data (811, Call before you dig…)
● Pipeline Integrity Surveys (ILI, ECDA)
Data Sources for DIMP& TIMP

2025
The
Peak
of
Data
and
AI
● ESRI Geodatabse (File geodb)
● ESRI Geodatabse (ArcSDE geodb)
● ESRI ArcGIS Portal Feature Service
● ESRI ArcGIS Online Feature Service
● ESRI Shapeﬁle
● CSV
● Excel
● Access
● SQL Server Non-Spatial
FME Reader Formats

2025
The
Peak
of
Data
and
AI
● 7 Feature Classes or Tables
○ Gas Main
○ Service
○ Risers
○ Meters
○ Valve
○ Regulators
○ Leaks
● Hundreds of attributes
DIMPOutputs

2025
The
Peak
of
Data
and
AI
● Route Geometry (feature class)
● 36 CSVs / Event Tables
TIMPOutputs
Outputs
• Continuous Route
• Pipe Segment
• Strength Test
Pressure
• MAOP
• Coating
• Location Boundary
• Operator
• Survey Range
• DARange
• DCVG Data
• Coupling
• ILI Data
• Cleaning Pig Range
• Sleeve
• Repair Range
• Pressure Test Documentation
• Crossing Range
• Flow Direction
• Region
• Upstream Compressor Range
• Patrol
• Valve
• One Call
• More……

2025
The
Peak
of
Data
and
AI
● Route Name
● From/To Measures
● Attribute
TIMPOutputs – Event Tables

2025
The
Peak
of
Data
and
AI
● Over 2 Dozen Unique Transformers
● Transform data per ETL speciﬁcations
○ Transforms data to match schema & domains of
target software
○ Applies Logic to account for missing or incorrect data
■ Adjacent segment values
■ Most common value of similar facilities
■ Example: if a facility is missing ‘material’ or
some other physical property we can make
assumptions based on the date installed
○ Assigns value of polygons (e.g. Neighborhood, Flood
Zone) to gas main segment ( highest length % of
intersecting main in multiple polygons)
Gas Main FME Workspace (DIMP)

2025
The
Peak
of
Data
and
AI
● Over 2 Dozen Unique Transformers
● Transform data per ETL speciﬁcations
○ Transforms data to match schema & domains of
target software
○ Applies Logic to account for missing or incorrect data
■ Adjacent segment values
■ Most common value of similar facilities
○ Spatially assing value of polygons (e.g.
Neighborhood, Flood Zone
Gas Main FME Workspace (DIMP)

Conclusions,
Lessons Learned,
Next Steps

2025
The
Peak
of
Data
and
AI
So..Why FME for DIMP & TIMP?
● FME is an ideal software to transform multiple
sources of data into the schema required by the
DIMP & TIMP software
● FME can handle simple attribute mapping and
complex spatial analysis

2025
The
Peak
of
Data
and
AI
Lessons Learned
● The more time spent up front on attribute
mapping and developing logic for backﬁlling
data, the better
● Close collaboration with Compliance & Pipeline
Integrity teams is essential
● Treat the data & attribute mapping as an
exercise to identify and address data issues

2025
The
Peak
of
Data
and
AI
Next Steps
● Review of workspaces, streamline where
possible
● Reassess business decisions that inform
translations
● Incorporate more of FME’s capabilities for
dealing with linear referencing data

2025
The
Peak
of
Data
and
AI
ThankYou
David Burke
Peoples Gas
david.burke@peoplesgasdelivery.com

2025
The
Peak
of
Data
and
AI
David Burke
Gas System Senior Analyst
Peoples Gas
david.burke@peoplesgasdelivery.com

FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)

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