Oil storage volumes

We can determine oil storage volumes in any port or country using satellite imagery

Knowledge of crude oil storage is crucial to some organisations since oil is a major energy source for economies around the world. As well as powering vehicles, industry and household equipment, its use in plastics and pharmaceuticals underlines its importance.

Crude oil is a widely traded commodity in financial markets. Accurate and up to date insight into crude oil volumes is therefore required by oil majors, commodity traders, investment banks and hedge funds in order to make robust trading and investments decisions.

We provide transparency in oil storage levels to oil traders in financial markets

Satellite data + high performance computing
Weekly change in crude oil tank storage levels
Oil trading desks

Insights into crude oil storage volumes have previously been expensive, limited to a few key locations, updated only on a weekly or monthly basis and have varied in terms of accuracy.

We provide transparency into crude oil storage volumes across the globe. In any location and on any given day, we can accurately determine crude oil storage volumes. We can determine daily crude oil volumes in US PADD regions, Canada, ARA, China, Fujairah, Iran, Singapore, Malaysia, Japan and India.

At Ryelore Ai, we deploy sophisticated research-led AI algorithms, high-performance computing servers and high-resolution satellite imagery to measure crude oil volume changes in oil storage tanks.

Crude oil tank #723

Current storage level:
110,500 barrels
Total capacity:
625,800 barrels

How we measure oil storage volumes

For defined locations of interest, we acquire satellite image data. Ryelore Algorithm uses advanced deep learning to find floating oil tanks and calculate tank size and oil volumes from satellite images. We package and deliver highly accurate up to date data in convenient data formats.

Available Datasets

Regions we cover

US PADD regions, Canada, ARA, China, Fujairah, Iran, Singapore, Malaysia, Japan and India

Data refresh frequency

Daily, Weekly, Monthly

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