We increase the efficiency and precision of our operations through the use of cutting-edge digital technologies, such as supercomputing and artificial intelligence.
Supercomputing and artificial intelligence are all the more indispensable for the competitiveness of our operations and the development of our decarbonisation technologies. The digital transformation involves every business activity and process, supporting our evolution to respond to the energy transition.
Digital geosciences, combined with the computing power of our supercomputers and our proprietary algorithms, allow us to maintain high efficiency in our exploration. Artificial intelligence (AI) is also increasingly being applied in an area as central to us as occupational safety, through tools that prevent and manage potentially critical situations. A further application of analysis methodologies through AI also concerns the preservation of the forest heritage, within the framework of our Carbon Offset Solutions.
In the global Top500 ranking, it is positioned 6th worldwide, second in Europe and confirming its position as the world’s most powerful High-Performance Computer for industrial use. HPC7 thus surpasses HPC6, launched in November 2024, which has in turn confirmed its position within the TOP10.
By means of digital geosciences, we study the nature of the subsoil and pinpoint possible fields. We process data and information, reconstructing the geological characteristics of deep layers. We use the High Performance Computer layer 7 (HPC7), one of the most powerful and sustainable computers in the world, with which we are able to identify new natural gas reserves more efficiently and study new energy sources. Thanks to this supercomputer we can create three-dimensional models of the subsoil more quickly and study solutions to increase the efficiency of renewable energy.
Our supercomputer allows us to expand geophysical exploration to quickly identify new fields.
Using HPC7, our researchers can learn about the subsurface in an increasingly precise and safe way.
Research programmes, applications and solutions to improve efficiency at every level.
In July 2024, we launched Eniquantic, a joint venture between Eni and IT Quanta, with the ambitious aim of developing an integrated machine combining both hardware and software, to solve complex problems (mathematical optimisation, modelling and simulation, artificial intelligence) and to initiate specific and significant applications of quantum computing in support of the energy transition.
We extended the Safety Pre-sense tool to all lines of business to increase worker safety. By leveraging artificial intelligence, the system anticipates recurring hazardous situations based on weak signals recorded in safety databases and implements corrective actions.
We use data analytics to support our strategic decisions such as, for example, in the area of bioenergy for biofuel production, by searching for marginal land where we can begin cultivation, as was the case for the first agri-hub in Kenya, set up to grow raw materials to be made into vegetable oil.
In addition, digitisation of processes is underway in CO2 offsetting activities, such as in the area of Carbon Offset Solutions, supporting REDD+ projects for forest conservation and protection.
From 2025, we designed and delivered a training programme on the basic skills required for the responsible use of artificial intelligence, aimed at raising awareness of regulations, rules, ethics and corporate applications, as well as data literacy and the personal skills required for conscious AI use. The programme involves the entire company population and is being extended with additional modules, both to enhance transversal skills across Eni’s workforce and to develop specialised competencies for those working more closely with this technology.
Research programmes, applications and solutions to improve efficiency at every level.
In July 2024, we launched Eniquantic, a joint venture between Eni and IT Quanta, with the ambitious aim of developing an integrated machine combining both hardware and software, to solve complex problems (mathematical optimisation, modelling and simulation, artificial intelligence) and to initiate specific and significant applications of quantum computing in support of the energy transition.
We extended the Safety Pre-sense tool to all lines of business to increase worker safety. By leveraging artificial intelligence, the system anticipates recurring hazardous situations based on weak signals recorded in safety databases and implements corrective actions.
We use data analytics to support our strategic decisions such as, for example, in the area of bioenergy for biofuel production, by searching for marginal land where we can begin cultivation, as was the case for the first agri-hub in Kenya, set up to grow raw materials to be made into vegetable oil.
In addition, digitisation of processes is underway in CO2 offsetting activities, such as in the area of Carbon Offset Solutions, supporting REDD+ projects for forest conservation and protection.
From 2025, we designed and delivered a training programme on the basic skills required for the responsible use of artificial intelligence, aimed at raising awareness of regulations, rules, ethics and corporate applications, as well as data literacy and the personal skills required for conscious AI use. The programme involves the entire company population and is being extended with additional modules, both to enhance transversal skills across Eni’s workforce and to develop specialised competencies for those working more closely with this technology.
Our main achievements when it came to preventing cyber attacks in 2022.
In the field of robotics, mechatronics and automation, we have developed a system of innovative nanosensors to detect potential emissions in areas difficult to reach by personnel or other robotic means. We improved the Clean Sea submarine system, a robot that monitors submarine installations and water quality for CO2 capture and storage (CCS) activities. We use robots with legs and computer vision algorithms for industrial site inspections.
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