SLB ANNOUNCES COLLABORATION WITH GEMINUS AI

SLB announced an investment and technology partnership agreement with Geminus AI that will give SLB exclusive access to deploy the first physics-informed artificial intelligence (AI) model builder for oil and gas operations. The Geminus model builder fuses physics-based approaches with process data to produce highly accurate AI models that can be deployed at scale, far faster and at much less cost than traditional AI approaches.

The Geminus platform uses novel, physics-informed AI computing to translate constraints of the physical world inside digital models. It requires only sparse data, and models are easily updated with the infusion of new data points. Data scientists and modelling engineers can use the platform to predict the behaviour of complex systems and make informed real-time decisions.

In a customer use case, SLB delivered a Geminus hybrid AI-driven application to optimize economic performance while reducing carbon emissions at a natural gas plant. The application, created by Geminus’ physics-informed AI solution, was trained by data from SLB’s Symmetry™ process simulation software. It took just days to create, including the underlying hybrid AI model, and has the capability to evaluate 20,000 complex scenarios in under a tenth of a second. The application enables operators to interactively explore the impact of changing process settings on the plant’s carbon footprint and yield. In other use cases, the technology has vastly improved the efficiency of fluid catalytic crackers—the heart of an oil refinery—and improved the performance of electric submersible pumps and industrial wellsite chokes.