Oil Storage Tank Fill Level and Inventory Monitoring

Track crude and refined product levels at terminals and strategic reserves. Klarety agents analyze Sentinel-1 VV backscatter to estimate tank fill levels, compare month-over-month changes across tank farms, and flag inventory builds or draws before official EIA reporting. 10-meter resolution enables site-level granularity.

Satellite inventory intelligence for energy traders

Klarety AI
Klarety AI chat composer interface

Inventory estimates ahead of EIA releases

Klarety agents estimate tank fill levels from SAR backscatter and return site-level inventory reports before official data drops.

SAR - Sentinel-1
Klarety satellite analysis output

VV backscatter fill level estimation at 10m

Agents process descending orbit passes over tank farm AOIs and compute fill proxies from surface reflectivity changes.

GIS Output
Klarety AI map annotation overlay

Tank farm layers for energy GIS pipelines

Export per-tank fill estimates as attributed polygons for terminal capacity and pipeline flow GIS dataset integration.

SAR backscatter tank fill level estimation

Klarety agents process monthly Sentinel-1 descending passes over tank farm AOIs, compute mean VV backscatter per tank polygon, and convert to fill level proxies using a calibrated inverse relationship (fuller tanks return lower dB). Month-over-month delta flags builds and draws. Output is a per-tank fill table and time-series chart at 10m resolution.

Klarety AIMonitor tank inventory at your terminal
analysis/cushing_tank_fill_levels.pyAgent code
output/cushing_fill_report.mdOutput report

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