AI for energy storage, maintenance and delivery

Brief Project Information

From machine learning to computer vision, deep learning to virtual assistants and autonomous vehicles to robotics, Shell has been focused on a range of technologies that have supported advances in AI. Including exploration production and maintenance with less emission, and EV cars recharging with lower costs.


SDG
More information about the project

From machine learning to computer vision, deep learning to virtual assistants and autonomous vehicles to robotics, Shell has been focused on a range of technologies that have supported advances in AI. Including exploration production and maintenance with less emission, and EV cars recharging with lower costs. Shell is an integrated energy company going through a significant transition as the world’s need for more and cleaner energy solutions require significant changes in the way in which energy provided. Digital technology, including AI, is a significant enabler for this transformation, from more efficient exploration and production, more reliable manufacturing, more nimble trading, and a more intimate customer experience and new digital solutions for emerging areas such as power and hydrogen. Embedding AI in every part of our organization is crucial—from making our existing businesses more effective, efficient and make us competitive. In terms of image interpretation, Shell uses intelligent technologies such as pattern recognition to perform operations such as fault capture to determine the composition information of the geology. At the same time, Shell uses full-waveform inversion to analyze seismic signals and generate more accurate stratigraphic details.

Sustainability Review

3.0
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Editor's comment for this project's sustainability

The purpose of using analytical tools to predict when maintenance is needed can not only improve the safety of employees and customers, but also save large amount of time on complex data interpretation to tackle new problems.

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