In this video from the GPU Technology Conference, Wyatt Gorman from Google and Abhishek Gupta from Schlumberger present: Get Your Head in the Cloud – Lessons in GPU Computing with Schlumberger.
Demand for GPUs in High Performance Computing is only growing, and it is costly and difficult to keep pace in an entirely on-premise environment. We will hear from Schlumberger on why and how they are utilizing cloud-based GPU-enabled computing resources from Google Cloud to supply their users with the computing power they need, from exploration and modeling to visualization.
For over 90 years, Schlumberger has worked with clients in the oil and gas industry. In this work, Schlumberger generates and uses large amounts of data to safely and efficiently manage hydrocarbon exploration and production. Schlumberger has developed a unique software environment that runs on GCP called DELFI, a cognitive energy and production (E&P) environment at the SIS Global Forum, which spans from exploration to production. Customers can combine DELFI with their own proprietary data and science for new insights and faster results.
Schlumberger selected Google Cloud as its strategic provider for its clients’ digital journey to the cloud. This unique, multi-year collaboration encompasses a range of technologies:
- Big data: Schlumberger launched the DELFI cognitive E&P environment and the deployment of an E&P Data Lake based on Google BigQuery, Cloud Spanner and Cloud Datastore with more than 100 million data items comprised of over 30TB of petrotechnical data.
- Software platforms: Schlumberger announced the launch of its petrotechnical software platforms such as Petrel* E&P and INTERSECT* running on Google Cloud Platform and integrated into DELFI
- High performance computing: Google has worked together to optimize Schlumberger Omega* geophysical data processing platform to run at a scale not possible in traditional data center environments. Using Google Cloud NVIDIA GPUs and Custom Machine Types, Schlumberger has deployed compute capacity of over 35 petaflops and 10PB of storage on GCP.
- Artificial intelligence: Schlumberger leverages TensorFlow for complex petrotechnical interpretation of seismic and wellbore data, as well as automation of well-log quality control and 3D seismic interpretation.
- Extensibility: Schlumberger adopted the Apigee API management platform to provide openness and extensibility for its clients and for partners to add their own intellectual property and workflows in DELFI
