A semantic handling of geological modeling workflows

  • Authors:
  • Nabil Belaid;Yamine Ait-Ameur;Jean-François Rainaud

  • Affiliations:
  • DTIMA/IFP & LISI/ENSMA-UP, Rueil-Malmaison (FR);LISI/ENSMA-UP, Futuroscope (FR);DTIMA/IFP, Rueil-Malmaison (FR)

  • Venue:
  • Proceedings of the International Conference on Management of Emergent Digital EcoSystems
  • Year:
  • 2009

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Abstract

Today, we are more than ever conscious of the pollution that we cause. Actions are undertaken in order to deal with the reduction in CO2 emissions in particular. One of the techniques of handling the CO2 is storing it in old oil fields. Indeed, many engineering studies are conducted by governments and private companies to model the geological structures in order to use them as potential CO2 reservoirs. These studies follow series of complex workflows (business processes) of data processing services. Originally, these workflows are designed and executed by geologists with software products designed for hydrocarbon exploration and production purposes. Today, these workflows follow the experience gained by experts through their previous realizations and the software designers integrate this knowledge in monolithic software products. Then, if a minimum of explicit semantics is not applied to describe these workflows and the services that compose them, it is not possible to share this experience among geologists by reusing existing workflows or by composing new ones. The focus of our work is to evaluate the benefit of making the semantics explicit to facilitate the geologists daily work. In this article, we first explain how geologists operate today. Then, we show how we enrich such complex workflows and the data they manipulate with semantic indexations through ontology-based characterizations (Geological Data and Services Ontologies).