SLB and Qualcomm Partner on Edge AI for Energy Operations

Global energy technology leader SLB (formerly Schlumberger) has formalized a strategic collaboration with Qualcomm Technologies, Inc., through a newly signed memorandum of understanding. The partnership is set to revolutionize the energy sector by deploying advanced Edge AI solutions directly into operational environments. This initiative combines Qualcomm's cutting-edge low-power edge computing and AI processing technologies with SLB's established Agora™ edge AI and Internet of Things (IoT) solutions portfolio, specifically designed for remote and operationally complex settings. The core objective of this collaboration is to facilitate real-time operational decision-making across the vast and intricate landscape of energy operations. This includes critical assets such as wells, production facilities, and various production systems. The energy industry, characterized by its often remote and challenging operational conditions, stands to significantly benefit from the deployment of AI capabilities directly at the edge, where data is generated. Rakesh Jaggi, president of Digital at SLB, emphasized the importance of this partnership, stating that it aims to help operators apply AI more effectively across energy infrastructure. He highlighted that many energy operations are highly dependent on real-time decision-making in environments where connectivity and responsiveness directly impact performance. By designing AI systems around the unique realities of energy operations, the collaboration seeks to support more consistent and autonomous workflows across these diverse settings. The increasing adoption of automation and autonomous workflows within production environments is driving a significant demand for agentic AI systems. These systems need to operate closer to the asset level rather than relying solely on centralized computing resources. In remote energy infrastructure, factors like connectivity limitations, latency, and the need for continuous operational uptime are paramount. Bringing AI processing closer to the equipment and operational workflows can dramatically enhance responsiveness and build more resilient operations. Furthermore, this collaboration is expected to play a crucial role in modernizing legacy operational environments within the energy sector. By integrating advanced Edge AI, companies can improve efficiency, optimize resource utilization, and enhance safety protocols. A key benefit also includes strengthening cybersecurity across operational technology layers, which is increasingly vital as industrial systems become more interconnected. The joint effort between SLB and Qualcomm Technologies underscores a broader industry trend towards decentralizing AI processing to unlock new levels of efficiency, autonomy, and resilience in critical infrastructure.