To run OPM Flow software on Azure, you just need the right HPC hardware and a shared storage location for the input and output files as our new example workload for reservoir simulation and visualization shows.
These compute-hungry models are used to predict complex flows of fluids such as oil, water, and gas beneath the earth’s surface. OPM Flow software comes from the popular open-source Open Porous Media Initiative.
This example deploys a small HPC cluster with a Linux head node running OPM Flow, along with the PBS Pro 19.1 job-scheduling software. The head node mounts a 4-terabyte (TB) NFS space as the HPC file share, but depending on your model and IO requirements, you can use other storage options.
Azure HB-series high-performance computing (HPC) virtual machines provide the horsepower, although you can also use general-purpose virtual machines for the head node.
For details, see the Run reservoir simulation software on Azure example workload in the Azure Architecture Center. This example also includes sample deployment scripts on GitHub.
Related resources
Reservoir Simulation on Azure: HPC for Oil & Gas blog
HPC: Oil and gas in Azure blog
Running computational fluid dynamics (CFD) simulations on Azure example workload