Shell Offers New AI-Powered Applications Through Open AI Energy Initiative
C3 AI and Shell have unveiled three new artificial intelligence products through the Open AI Initiative aimed at enhancing efficiency in the energy sector. These products include the Shell Process Optimiser for LNG, which improves asset production; the Shell Corrosion Advanced Risk Modelling and Analytics, which predicts corrosion to reduce maintenance costs; and the Shell Autonomous Integrity Recognition, enhancing inspection processes. These tools aim to accelerate the adoption of AI solutions in energy operations.
- Introduction of three new AI products enhancing operational efficiency in the energy sector.
- Shell’s applications proven to create operational efficiencies and generate additional revenue.
- Expansion of the OAI offerings to address asset integrity and optimization.
- None.
Offerings to provide significant time and cost benefits for the energy and process industries
The OAI, launched by C3 AI, Shell,
Details on the new offerings are outlined below:
- Shell Process Optimiser for LNG – The application marries state-of-the-art LNG process engineering and technology with data analytics to enhance asset production by helping asset engineers close the gap between current and optimal production (“gap to potential”) by changing key identified operating conditions as optimization levers. The application integrates sensor information, such as pressure, temperature, and flow rate to calculate the optimum setting using custom-built asset machine learning models. It reveals unknown correlations and sweet spots, and derives the best suitable strategies as optimization know-how. The application, capable of handling operational, economic, and engineering constraints, Shell Process Optimiser for LNG generates actionable insights that can be integrated and brought into the continuous closed loop process control layer for sustained benefits realisation.
- Shell Corrosion Advanced Risk Modelling and Analytics – The application makes use of novel data analytics techniques to predict internal corrosion and erosion to better prioritize and target inspection and maintenance activities. By using a variety of collected site data, and with the help of artificial intelligence, the software provides new insights to predict corrosion and erosion and identify degradation before leaks happen. By using this solution, operators can lower inspection costs and HSSE risk, minimise cost of related leaks, and safely push production to the limit. Additionally, Shell Corrosion Advanced Risk Modelling and Analytics reduces the need for manual, tedious field inspections, resulting in significant time and cost savings.
- Shell Autonomous Integrity Recognition – The application allows inspectors to quickly and easily make use of automated image capture and evaluation to support execution of external integrity inspections. By processing data in the cloud coming from inspections carried out with handheld devices, drones and robots, the solution enables inspectors to objectively evaluate issues, identify items that have been overlooked, reduce the time needed at the desk generating reports, and improve inputs to maintenance planning. Shell Autonomous Integrity Recognition application allows users to identify and classify external corrosion and insulation issues with Machine Vision to reduce leakages. By using this, users can improve the quality, efficiency, and standardization of visual inspections.
These products expand the portfolio of solutions available to OAI subscribers and help accelerate the adoption of enterprise AI in the energy and process industries.
“Previously, there was no framework for Oil and Gas operators to subscribe to proven AI and advanced analytic solutions offered by other operators,” said C3 AI CEO
These applications also broaden the focus areas of the OAI offerings from asset and system reliability to facility and plant optimization and asset integrity, adding to an expanding portfolio of highly differentiated, domain-specific and proven AI applications and modules that are interoperable. These applications can be deployed together to realize business value and create scalable, futureproof reference architectures.
“The products announced today have already been deployed at Shell and have been proven to either create operational efficiencies and savings or generate additional revenue and opportunity,” said
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