When AI Moves to the Wellsite

SLB and Qualcomm sign an MOU to bring real-time edge AI to wells and production facilities via SLB's Agora platform

16 Jun 2026

SLB and Qualcomm Technologies have signed a memorandum of understanding to embed AI processing directly into oilfield infrastructure, pairing Qualcomm's low-power edge computing chips with SLB's Agora edge AI and IoT platform. The agreement, announced on June 9, 2026, targets wells and production facilities where slow data transfer and unreliable connectivity have long limited operators' ability to act on field conditions in real time.

Edge AI processes data at the point of collection rather than routing it to remote cloud servers. For oilfield operators, that distinction matters. Legacy field infrastructure was not built to handle the volume or speed of data that modern sensors generate, and the communication links required to transmit that data to centralised systems are often unstable in remote locations. Distributed processing at the wellsite also reduces network-level cybersecurity exposure.

Rakesh Jaggi, president of Digital at SLB, pointed to operator demand as the driver. "Together, SLB and Qualcomm Technologies aim to help operators apply AI more effectively across energy infrastructure," he said.

The commercial opportunity spans upstream and midstream markets. Low-power hardware makes deployment practical at remote sites where grid access is constrained, and the architecture allows operators to modernise ageing assets without full infrastructure replacement. Energy producers across both segments have increased digital transformation spending markedly in recent years, under pressure to cut costs and improve output consistency.

Neither company has disclosed a timeline for field deployments or the financial terms of the arrangement. The MOU signals intent; commercial agreements and go-to-market plans have yet to be confirmed publicly.