Energy exploration, production, and reservoir monitoring are leaders in the private sector for big data and compute-intensive applications. That's why energy companies have always used high-performance computing (HPC) to aid in oil and gas exploration. This decision by these energy companies has proven to help reduce costs, impact on the environment, and improve the fidelity of subsurface data.
We’ll be at the Rice Oil and Gas HPC conference in Houston, Texas on March 12-13, 2018. Here we will talk about Microsoft's commitment to providing the resources that HPC users need. Curt Smith, Big Compute Engineering Development Manager, will be presenting a plenary session covering how oil and gas companies use Azure’s offerings to address HPC and machine learning workloads. Azure allows customers to integrate their data management, compute workloads, and leverage technologies such as machine learning, artificial intelligence, and blockchain.
Read about it in the Azure blog.