1. Conventional Pipelines - 7,850 kms of Crude and NGL pipelines 2. Transport of Oil Sands and Heavy Oil (Diluent and Diluted Bitumen) – 1,650 km
pipelines transporting 30% of Athabasca Oil Sands Region 3. Midstream Operations 4. Gas Services – 3 sweet gas processing plants and a 1 ethane extraction facility-
350 km of gas gathering pipelines 5. Growth Projects Include:
o Peace and Northern Pipeline Systems: NGL, Crude and Condensate $630m expansion 2014
o Saturn Enhances Liquids Extraction : NGL $200m expansion Q4 2013 o Resthaven Enhanced Liquids Extraction Facility & Shallow Gas Plant : $230 million
Crude Oil network of truck terminals as well as large terminals at downstream hub locations which include storage and pipeline connectivity Natural Gas Liquids: Redwater West and Empress East.
Our Process Safety, Reliability, Compliance
Integrity Management*
Data Management
Data Standards
Data Standards PODS Data Model
• Trusted source of information
• Improve data quality and reliability
• Improve data retrieval and reporting
• Decrease costs
Presenter
Presentation Notes
Data integration begins with aggregation multiple copies of data together. Generally, a central data model is better for managing data than decentralized storage. The Pipeline Open Data Standard (PODS) provides a well-defined data model for stationed transmission pipelines. This allows data to be more easily loaded, managed, aligned and reported.
CADD
Build 2d centerlines from rural cadastral and as-built DWGs
Presenter
Presentation Notes
Where no records existed due to acquisitions and lost records, Pembina embarked on an ambitious plan to leverage a combination of CADD and GIS technology to develop pipeline centerline and feature sets. The technology involved manually digitizing 2D PI control points from existing geo referenced cadastral maps.
Geo-referenced Rural Cadastral
Presenter
Presentation Notes
Rural Cadastral files are used to locate the pipeline within the center of the right-of-way, or offset a measured distance from one of the right-of-way boundaries. New centerline in blue cadastral data in white.
Insert and rubber sheet Detail Drawings
Presenter
Presentation Notes
Only the pertinent layers were imported above.
Pertinent Layers are Filtered
Presenter
Presentation Notes
Only the pertinent layers were imported above.
Pink Lines are from a facility drawing
Presenter
Presentation Notes
Only the pertinent layers were imported above.
Blue Line is New Created Centerline
Presenter
Presentation Notes
Only the pertinent layers were imported above.
DWG file purged of all reference files
Presenter
Presentation Notes
DWG file purged of all reference files, this leaves only the 2d centerline
FME
Convert 2d CADD centrelines to: ArcGIS polyline Zm
Presenter
Presentation Notes
Safe Software’s Feature Manipulation Engine was then used to transform the 2d centerline into 2d graphic feature class for further processing. FME from Safe Software is a great tool to do the translation and produces a proper Polyline Zm as apposed to a simple 2D polyline. This is just the FME Quick Translator.
Add: Valtus ViewsTM Imagery via Web Map Service (WMS) New Centerline in Blue
Esri ArcMAP
Presenter
Presentation Notes
Valtus Views imagery via WMS service in ArcGIS V10. New centerline in blue.
Add: Digital Elevation Model (DEM) GridCell size: ~10 m (35 feet) National Resources Canada www.nrcan.gc.ca
Esri ArcMAP
Presenter
Presentation Notes
An easy-to-implement Esri ArcMap extension was then used to create a measured polyline by draping the digitized 2D polyline over commercially available digital elevation models. The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
This extension is utilized to automatically 3d measure the pipeline and generate route events from the imported centerline
Presenter
Presentation Notes
An easy-to-implement Esri ArcMap extension was then used to create a measured polyline by draping the digitized 2D polyline over commercially available digital elevation models.
Drape 2d centerline over DEM and build 3d measured polyline Zm centerline
Presenter
Presentation Notes
An easy-to-implement Esri ArcMap extension was then used to create a measured polyline by draping the digitized 2D polyline over commercially available digital elevation models.
An easy-to-implement Esri ArcMap extension was then used to create a measured polyline by draping the digitized 2D polyline over commercially available digital elevation models.
The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
Esri ArcMAP Add Other Feature Classes: • Foreign Pipeline Network
(IHS-GDM) • National Hydraulic Network
(Waterways and Water bodies)
• Communication Network (TELUS trenches)
• Railway Network (CN &CP) • Road Network (AB
Transportation)
Presenter
Presentation Notes
An easy-to-implement Esri ArcMap extension was then used to create a measured polyline by draping the digitized 2D polyline over commercially available digital elevation models. The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
The resultant 3D measured pipeline centerline was then automatically intersected with various topographic crossing points of other pipelines, transportation and utility corridors to extract 3d station values. This common geo-processing work flow used to take hours to perform, and was performed by service providers, now took only minutes. With just a few button clicks, the user connected the PIs to create a line, assign 2D or 3D measures, and generated events with stationing.
Express Loader
• Quickly & Easily Load Large Amounts of Data into a PODS Database
• 300 pipelines loaded simultaneously
Presenter
Presentation Notes
The previous effort resulted in a PODS ready digital data file that was easily uploaded to an existing oracle database. The entire process was semi-automated using a combination of CAD, FME Software, New Century Software, and Esri technology. We shall demonstrate the process and the results. Express Loader is a proven data-loading application that allows users to accurately and quickly load large amounts of data into a PODS database while simultaneously using multiple data sources. Express Loader boasts a huge time saving feature: users can validate their data BEFORE it is loaded so errors are quickly discovered and corrected. Users can save their column mapping and linear referencing configurations and then reuse them for similar data projects.
• Final Edits were done to pipeline attribute and centerline data
• EG. Add MAOP and other operating attribution
Facility Manager
Presenter
Presentation Notes
Add or remove station equations without performing a reroute. Easily reassign station series numeric values and change descriptions. Ensure accurate data by checking for gaps and overlaps within the data. Import/Export ArcSDE centerline graphics to match the PODS coordinate table. Enter pipeline characteristics (multiple records with begin/end stations).
Enterprise Solution
• Pipeline and Facility Planning
• Field Data Collection • Pipeline and Facility
Design
• Data Creation • Data Base loading • Database
management
• Map and Sheet Generation
• Web Map and Dashboard Reports
• Key Performance Indicators
• HCA & Class Location • Spill Analysis • ILI & CIS Integration • Risk Analysis • EFRD Analysis
Thank You Authors: Derek Fenty, C.E.T. Chief Draftsman Gordon Gin, C.Tech. B.Sc. Regional Director, Canada
