Using FME to Help the Field Help You - Peak of Data & AI

Using FME to
help The Field
help you
Matt Layman | bp Terminals & Pipelines
The Peak of Data
and AI 2025

2025
The
Peak
of
Data
and
AI
Our Operations
● 3200 miles of pipeline
● Product and Crude
pipelines
● Centered around the
Cherry Point
(Washington State) and
Whiting (Indiana)
reﬁneries

2025
The
Peak
of
Data
and
AI
PHMSA requires pipeline operators to document every instance of
when a pipeline is exposed.
Survey123 sends data
collected to a database
SQL Server DB
stores the reports
Field tech creates a repair
and inspection report using
Survey123

2025
The
Peak
of
Data
and
AI
This leads to a lot of data to process
● Nearly 700 reports submitted in 2024 alone
● 3-5 people touch each report, depending on the type of
report
● FME makes life easier for moving all this data into our
systems of record

2025
The
Peak
of
Data
and
AI
Mistakes Happen!
● Pin on the map not within 30’ of the pipeline
● Incorrect pipeline selected in report form
● Reports left in progress
● Required attachments missing

2025
The
Peak
of
Data
and
AI
Incorrect location or
wrong pipeline
selected
Email
notiﬁcation
to the user

2025
The
Peak
of
Data
and
AI
Which pipeline?
Door Number 3?
Door Number 2?
Door Number 1?

2025
The
Peak
of
Data
and
AI
SpatialRelator, TestFilter, NeighborFinder
Takes results of SpatialRelator, and routes the reports accordingly.

2025
The
Peak
of
Data
and
AI
Managing more
complex reports
● Job Rep -> Project Manager Approval ->
Document Controller -> GIS Team
● Some reports require lots of supporting
documentation- FME helps make sure all
the required docs are attached.
● FME let’s the next person know when it’s
their turn to do their thing.

2025
The
Peak
of
Data
and
AI
Uses the ESRI Survey123 API to generate a word
document from a Survey123 submission.
PythonCaller
Uses the ESRI REST API to get attachments related to each report, and check whether a certain kind of
attachment is present in the report.
HTTPCaller, JSONFlattener, AttributeCreator, AttributeManager

2025
The
Peak
of
Data
and
AI
FilePropertyExtractor, TestFilter, Emailer
Determines total attachment size per email, and routes accordingly. Emails the relevant person
depending on the status of the report.

2025
The
Peak
of
Data
and
AI
Project Manager
Job Rep
Repair Site 2
Repair Site 2

2025
The
Peak
of
Data
and
AI
Systems of Record
● PODS (Pipeline Open Data
Standard) Database-
spatial/non-spatial database
for pipeline information
● Bentley ALIM- document
repository
Integration
● Formats data properly for
PODS ingestion.
● Moves data out of PODS into
web services for ArcGIS
Enterprise maps and apps.
● ILI data available in multiple
apps/maps.

2025
The
Peak
of
Data
and
AI
GIS Analyst
Boss Man
In the screenshot below

2025
The
Peak
of
Data
and
AI
Getting data out of PODS
● Currently on PODS 5, a mostly “non-spatial” database model.
● FME gives our data a spatial component and integrates other
relevant attributes.
● Output datasets feed web services that are used in web
mapping applications and data collection workﬂows.

2025
The
Peak
of
Data
and
AI
Pushed to services

2025
The
Peak
of
Data
and
AI
Turning ILI data into “dig here” points on a map
Data collected from tool is loaded to our PODS db.

2025
The
Peak
of
Data
and
AI
Integration across apps – ILI Dig Sites layer
Dig Sites created
in PODS by ILI
Team
Non-PODS
GIS db ILI Dig Sites
layer stored in
GIS “data
warehouse”
Feature Service feeds
dropdown in
Survey123
Data available as a
service in web maps
FME Flow runs a
workbench nightly to
update ILI Dig Sites layer

2025
The
Peak
of
Data
and
AI
Integration across apps – ILI Dig Sites layer
GIS “data warehouse”
feeds web maps and
data collection apps

2025
The
Peak
of
Data
and
AI
Wrap-up
● FME helps us catch errors sooner, and less time is
spent manually correcting them.
● Data entry now takes up 3-5% of a workweek instead of
40-60%.
● Authoritative data is readily available to anyone no
matter what app/map they’re using.

2025
The
Peak
of
Data
and
AI
Where are we headed?
● Further ILI data integration and elimination of
PDF/Excel driven workﬂows
● Automatic ILI repair report generation- job reps will only
have to ﬁll out relevant information rather than inputting
information that can be populated by the database.

2025
The
Peak
of
Data
and
AI
ThankYou
Matt Layman
bp | Terminals & Pipelines
matt.layman@bp.com

Using FME to Help the Field Help You - Peak of Data & AI

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