SLB to Use Geminus AI Physics-based AI Model Builder
SLB, a leading multinational oilfield services company, has announced a partnership with Geminus AI to optimize oil and gas operations using physics-based artificial intelligence (AI) models. This investment and technology agreement grants SLB exclusive access to deploy Geminus’s model builder, which combines physics-based approaches with process data to create scalable AI models. According to SLB, this technology offers a faster and more cost-effective alternative to traditional AI methods.
The collaboration between SLB and Geminus has already yielded impressive results. For instance, SLB utilized Geminus’s physics-informed AI solution to develop a hybrid AI-driven application that optimized economic performance and reduced carbon emissions at a natural gas plant. This application, trained with data from SLB’s Symmetry process simulation software, was created within days, including the underlying hybrid AI model. Most notably, the application has the remarkable capability to assess 20,000 complex scenarios in under a tenth of a second.
The benefits of leveraging this physics-based AI technology extend beyond the natural gas sector. In other use cases, the solution has proven to enhance the performance of electric submersible pumps and industrial wellsite chokes. These advancements highlight the potential for improved efficiency and productivity across various oil and gas operations.
Rakesh Jaggi, the President of Digital and Integration at SLB, expressed enthusiasm for the partnership, emphasizing the positive impact it will have on customers’ operational performance. According to Jaggi, Geminus’s ability to fuse AI techniques with physics-based simulation data empowers customers to easily create and optimize hybrid models of their operating assets. This optimization can lead to reductions in operational expenditures, increased productivity, and minimized carbon emissions.
The Geminus platform stands out due to its use of physics-informed AI computing, enabling the translation of real-world constraints into digital simulations. Unlike traditional approaches that heavily rely on vast amounts of data, the Geminus platform offers flexibility and easily incorporates new data points, allowing for the ongoing enhancement and refinement of models. Data scientists and modeling engineers can accurately predict the behavior of complex systems and make informed real-time decisions.
By delivering this breakthrough technology, SLB aims to revolutionize the oil and gas industry’s approach to operational performance. The fusion of physics-based simulations with AI models promises to unlock new levels of efficiency and sustainability.
As this partnership between SLB and Geminus progresses, there is anticipation within the industry for further advancements that will reshape oil and gas operations. The ability to optimize processes in real time, reduce costs, and minimize environmental impact holds immense promise for the future of the sector.
In summary, SLB’s collaboration with Geminus AI to deploy a physics-informed AI model builder marks an innovative step towards optimizing oil and gas operations. The fusion of physics-based approaches with process data allows for the creation of scalable AI models that offer faster and more cost-effective solutions than traditional methods. This partnership has already resulted in notable successes, including the development of an AI-driven application that optimizes economic performance and reduces carbon emissions. As SLB continues to leverage this technology, the industry eagerly awaits further transformative developments in oil and gas operations.
