SCENARIOS IN ENERGY, PUBLIC SERVICES

SCENARIOS IN ENERGY, PUBLIC SERVICES

3 studies available



Geosciences Project Memory

Knowledge Web Partners: France Télécom R&D
Challenge:

In a KM context to give semantic access to multiple project documents and data (software, subsurface models) to practitioners
Solution:
Automated on the fly semantic annotation of documents produced by the projects
Semantic search engine for ontology based queries
Automated summary capability
Why a semantic solution:
The present search engine technology is not efficient enough on full text search
Key Business Benefits:
Avoid duplication of work and ensure quality of work in future projects by access to the best available information from the organizational memory (Capitalization and knowledge sharing)
Business Partners: IFP together with its projects partners (energy industry)

Business Case


AKSIO, An application of semantic Web technology for knowledge management in the petroleum industry

Knowledge Web Partners: Computas
Challenge:

The management of offshore oil & gas fields, in the North Sea and elsewhere, is moving towards integrated operations, the challenge is to provide support in a situation with decreasing personnel levels and higher reliance on individual expert resources.
Solution:
AKSIO supports collaborative work in teams with members from the offshore platform, onshore operations centre, individual specialists, and suppliers. It will link databases, applications, specialist knowledge networks, and real-time data from the field to a visual representation of the work process.
Why a semantic solution:
Core functionality of the AKSIO system is provided by careful application of Semantic Web technology, including ontology-based annotation and smart retrieval of content.
Key Business Benefits:
Real-time knowledge and process management of the drilling operations
Business Partners: UniK and @semantics

Business Case


Petroleum Industry Needs

Knowledge Web Partners: Institut Francais du Petrole
Challenge:

The domain of greenhouse gases mitigation presents a wide application potential and that it can provide a sound basis for developing the domain ontology needed for our semantic applications
Solution:
Develop knowledge models for semantic memories and intelligence of CO2 mitigation
Why a semantic solution:
The development of semantic technologies will contribute to raising the knowledge level and improve the business processes in our critical applications areas.
Key Business Benefits:
Better exploitation of the company asset Sustainable development
Business Partners: Partners in exploration, production, transportation, refining, and use of hydrocarbon

Business Case