Pipeline Routing Model A
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The document describes a pipeline routing model created using ESRI ArcGIS Model Builder. The model uses spatial datasets like infrastructure, geology, and elevation data to create a cost surface for pipeline routing. Factors like proximity to roads and elevation are incorporated into the cost surface. The model then identifies the least cost path for a potential pipeline route between a gas field and refinery in Kazakhstan. Visualizations of the cost surface and proposed pipeline route are presented to demonstrate the collaborative, auditable methodology.
Pipeline Routing Model A
- 1. Pipeline Routing Model using ESRI ArcGIS Model Builder Andrew Zolnai www.zolnai.ca
- 2. Objectives • Simple, flexible model to determine pipeline routes • A collaborative approach • Open to use with various spatial datasets • A methodology that can provide an auditable approach • Based on proven technologies
- 3. Data sources • USGS Global GIS DVD – Infrastructure (cities, gas fields etc.) – Culture (road, rail, river etc.) – Geology and land cover – Slope and elevations – Political and built-up areas
- 5. Map and model parameters • Area of interest – 41o49’N- 44o02'N / 68o06'E - 72o38'E – S Kazakhstan across the border from Tashkent – Gas refinery in Shymkent – Gas field across Tien Shan mountains • Projection – UTM Zone 42N, WGS 84 datum69 ,oE central meridian • Factors – Map scale = 1:1,000,000 – Map grid = 500 m
- 6. Lay of the land
- 7. Cost surface Vectors are first buffered (such as proximity to roads or rivers) Data are read as rasters (such as elevation), or converted to raster (such as buffers) Data are classified according to factors that translate into cost (such as granite or wetlands being no-go zones) All layers are then superposed into a composite cost surface
- 9. Weighted overlay All data are now grids. (illustration from ESRI help files) Each pixel of each theme is assigned a suitability value - in this project, the suitability values ranged from 0 to 20. Some themes will have more influence than others. A composite map is produced, showing the suitability ‘score’ for each pixel.
- 10. Weighted overlay
- 11. Least cost path Using the cost surface, the least cost distance and directions are calculated. These create cost directions from which a cost path is derived. Finally a vector representing the least cost path becomes the proposed pipeline. As many environmental (such land use classification) and physiographic ( such as slope) factors as possible were thus included.
- 12. Routing model
- 13. Illustrations Following are slides illustrating the process: - Cost surface - Routing model - Various views in 3D A movie from ArcGlobe also shows the full context
- 14. Cost surface
- 16. ArcScene view NE
- 17. ArcScene view NW
- 18. ArcScene view SE
- 19. ArcGlobe view E
- 20. Results • A costing model that can be made as simple or as complex as warranted • All data a geographically registered and accurate for important distance, surface and volume calculations • This is applicable to many other aspects: – E&P (seismic shot point and well positioning) – Transportation (routing of ingress and egress traffic) – Land use planning (positioning of various sites) – Remediation (before-and-after state of areas)