Title

AWS re:Invent 2023 - Eni works with AWS to develop its collaborative geoscience platform (ENU202)

Summary

Hussein Shell, Chief Technologist at AWS Energy, and Francesca Salvi, Head of Geological and Geophysical Studies at ENI, presented their collaborative project on developing a geoscience platform.
The energy landscape is rapidly transforming, emphasizing energy security, reliability, accessibility, affordability, and sustainability.
ENI, an Italian multinational energy company, is targeting carbon neutrality by 2050 and is committed to a socially fair energy transition.
The project aims to leverage AWS services to handle large data sets, apply machine learning, AI, and IoT to improve energy production, lower emissions, and minimize risks.
GECO, the collaborative platform, is designed to support sustainable use of natural resources and manage geohazards.
The platform will integrate structured and unstructured data, support data integration from multiple providers, and be built around open standards for interoperability.
AWS services like Textract, Comprehend, Recognition, Kendra, and SageMaker Jumpstart are used to build a serverless architecture for the platform.
The platform aims to improve derisking capabilities, efficiency, and data consistency, and it will be applicable across various business lines within ENI.

The collaboration between ENI and AWS is a strategic partnership leveraging AWS's cloud and AI capabilities to address the challenges in the energy sector.
The focus on sustainability and carbon neutrality reflects the global trend towards environmentally responsible business practices.
The GECO platform represents a significant digital transformation in geosciences, aiming to enhance data accessibility, analysis, and collaboration.
The use of AWS's machine learning and AI services indicates a trend towards more intelligent and automated data processing systems in the energy industry.
The emphasis on open standards and interoperability suggests a move towards more collaborative and standardized industry practices.
The project is still in its early stages, with aspirations to integrate third-party applications, managed AI services, and create a more collaborative workspace.
The platform's design to minimize cognitive bias and stimulate creativity among geoscientists indicates a recognition of the importance of human-centered design in technology development.