SLB unveils Lumi, a GenAI-powered platform designed to streamline data workflows and improve decision-making across the energy industry.
SLB Lumi combines advanced GenAI capabilities with workflows across the entire energy value chain. It provides access to high-quality data from subsurface, surface, and operational sources. Lumi’s goal is to enhance collaboration between teams. Improving the speed and accuracy of decisions. The platform’s open, modular design allows companies to access and integrate data easily, supporting custom GenAI models tailored to specific energy needs like exploration and production (E&P).
A key challenge in the energy industry is managing complex, fragmented data. Lumi addresses this by using industry standards such as the Open Group’s OSDU Technical Standard to unlock both structured and unstructured data. SLB has embedded large language models (LLMs) and industry-optimized AI models into Lumi. These models enhance workflows in areas like reservoir modeling, seismic analysis, and drilling, enabling companies to optimize their resources and make informed decisions faster.
Lumi offers flexibility by supporting both cloud-based and on-premise deployments. This gives businesses control over where and how they manage their AI-driven workflows. The platform’s open architecture enables it to extract and analyze data from both structured and unstructured sources. It adheres to the Open Group’s OSDU Technical Standard and utilizes Cognite Data Fusion to optimize production operations. Compliance with NIST cybersecurity standards ensures that the platform meets emerging AI regulations.
By combining GenAI with industry-specific models, Lumi enables energy companies to scale AI solutions and unlock deeper insights from their data. It provides a powerful tool for enhancing automation, optimizing resource management, and driving operational efficiency.