Global energy technology company SLB has announced the next milestone in its long-standing collaboration with NVIDIA to develop and scale generative AI solutions for the energy industry.
The collaboration accelerates the development and deployment of energy industry-specific generative AI foundation models across SLB global platforms, including its Delfi digital platform and SLB’s new Lumi data and AI platform. This work leverages NVIDIA NeMo, part of the NVIDIA AI Enterprise software platform, to develop custom generative AI that can be run in the data center, in any cloud, or at the edge.
SLB and NVIDIA are working together to build and optimize generative AI models for the specific needs and requirements of the data-intensive energy industry, including subsurface exploration, production operations, and data management. This will help unlock the full potential of generative AI for energy domain experts―including researchers, scientists, engineers, and IT teams―enabling them to interact with complex technical processes in new ways to drive higher value and lower carbon outcomes across the energy value chain.
Extending more than 15 years of collaboration in AI and HPC
SLB and NVIDIA first collaborated in 2008 with the innovative use of NVIDIA GPUs for subsurface imaging and reservoir simulation. The companies have worked closely over the years to optimize every generation of SLB’s high-performance compute technologies, available on its cloud-based Delfi platform with the latest NVIDIA accelerated computing platform.
Additionally, SLB and NVIDIA have worked with Dell Technologies to deliver both HPC and AI solutions to energy customers. These include solutions for SLB’s Intersect high-resolution reservoir simulator, Omega geophysical data processing software, and the Delfi platform.
Building seismic foundation models and generative AI copilots
Energy companies are turning to generative AI for current and future energy systems, improving the balance of energy production with decarbonization goals. Industry-specific generative AI solutions help provide new insights from enterprise data to quickly solve complex challenges.
SLB is an industry leader in seismic imaging and processing, providing advanced tools and applications for seismic interpretation and integration to enhance subsurface understanding. The company has developed a seismic foundation model based on (ViTs), trained from scratch using SLB-curated data, to be employed for various downstream interpretation tasks.
In addition, SLB has created a coding co-pilot by fine-tuning a large language model (LLM) on proprietary internal data, significantly enhancing the customer experience of their software tools. By integrating this co-pilot across their software suite, SLB aims to facilitate ease of use for reservoir engineers and geoscientists. The incorporation of generative AI accelerates decision-making by enabling multiple AI models to run concurrently, providing business decision-makers with accurate, real-time insights.
SLB and NVIDIA are collaborating on these foundational models to optimize performance and efficiency for enterprise-scale generative AI deployments by leveraging NVIDIA NIM. In addition to optimizing foundational models, SLB is offering its customers seamless access to NeMo for use in their technical workflows, improving performance, optimizing processes and driving innovation.
Conclusion
With generative AI, energy companies can improve the exploration, production, and delivery of energy resources with sustainable operations. SLB is building custom generative AI models, using NVIDIA NeMo and NIM, to help scientists and engineers in the energy industry leverage enterprise data and produce intelligence for subsurface understanding. This AI factory enables breakthroughs in customer engagement, operational efficiency, and revenue growth.
Learn more about the SLB and NVIDIA collaboration and AI and HPC for subsurface operations.
