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Semantic exploitation of engineering models: application to petroleum reservoir models

Abstract : This work intends to propose innovative solutions for the exploitation of heterogeneous models in engineering domains. It pays a special attention to a case study related to one specific engineering domain: petroleum exploration . Experts deal with many petroleum exploration issues by building and exploiting three-dimensional representations of underground (called earth models). These models rest on a large amount of heterogeneous data generated every day by several different exploration activities such as seismic surveys, well drilling, well log interpretation and many others. Considering this, end-users wish to be able to retrieve and re-use at any moment information related to data and interpretations in the various fields of expertise considered along the earth modeling chain. Integration approaches for engineering domains needs to be dissociated from data sources, formats and software tools that are constantly evolving. Our solution is based on semantic annotation, a current Web Semantic technique for adding knowledge to resources by means of semantic tags. The "semantics" attached by means of some annotation is defined by ontologies, corresponding to "formal specifications of some domain conceptualization". In order to complete engineering model exploitation, it is necessary to provide model integration. Correspondence between models in the ontology level is made possible thanks to semantic annotation. An architecture, which maps concepts from local ontologies to some global ontology, then ensures that users can have an integrated and shared global view of each specific domain involved in the engineering process. A prototype was implemented considering the seismic interpretation activity, which corresponds to the first step of the earth modeling workflow. The performed experiments show that, thanks to our solution, experts can formulate queries and retrieve relevant answers using their knowledge-level vocabulary.
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Submitted on : Monday, May 10, 2010 - 8:00:00 AM
Last modification on : Wednesday, November 17, 2021 - 12:31:12 PM
Long-term archiving on: : Thursday, September 16, 2010 - 4:37:52 PM


  • HAL Id : pastel-00005770, version 1


Laura Silveira Mastella. Semantic exploitation of engineering models: application to petroleum reservoir models. Sciences of the Universe [physics]. École Nationale Supérieure des Mines de Paris, 2010. English. ⟨NNT : 2010ENMP1697⟩. ⟨pastel-00005770⟩



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