Microsoft Combines SLB's ARM and ADME to Speed Up Large-Scale Reservoir Analysis in the Cloud
Source Microsoft Azure blog
At a glance
Drilling is expensive, so reservoir models (underground layers where oil or gas collects) are important. Microsoft said it combined SLB's ARM with its own ADME so that analyses running many models at once can be done faster in the cloud.
Key points
Ensemble modeling runs hundreds of possible models together instead of relying on one interpretation, showing the range of results.
ARM hands off model creation and simulation (running virtual experiments on a computer) to cloud high-performance computing.
ADME serves as the foundation for managing seismic survey, well, interpretation, and simulation data in one place.
In the Petrel software, engineers set up interpretation and uncertainty work, and the results are uploaded back to the data store so the team can use them together.
Why it matters
When drilling decisions require quickly handling more data, a method that ties data flows together can affect real field costs and judgment.
Original article
Scale reservoir uncertainty analysis with agile reservoir modeling
Microsoft Azure blog · Oct 27, 2026, 1:00 AM GMT+9 · azure.microsoft.com
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