Título: | RES-RISK-ONTO: AN APPLICATION ONTOLOGY FOR RISKS IN THE PETROLEUM RESERVOIR DOMAIN | ||||||||||||
Autor: |
PATRICIA FERREIRA DA SILVA |
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Colaborador(es): |
HELIO CORTES VIEIRA LOPES - Orientador RAFAEL JESUS DE MORAES - Coorientador |
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Catalogação: | 12/MAI/2022 | Língua(s): | ENGLISH - UNITED STATES |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=58981&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=58981&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.58981 | ||||||||||||
Resumo: | |||||||||||||
This work proposes the Reservoir Risks Ontology (ResRiskOnto), an
application ontology for risks in the oil and gas industry associated with
the petroleum reservoir domain. ResRiskOnto s building blocks are terms
dominated by reservoir professionals, so that it can be easily adopted in future
risk documentation.
ResRiskOnto is developed having at its center the concept of Risk Events.
Each event has a set of possible Participants, that have its Characteristics
manifested by the event. The ontology provides a total a set of 97 terms, 29
of which are derived from the Risk Event class.
To develop the ResRiskOnto, we conducted a semantic analysis of
documents that contain over 2500 reservoir-related risks described in natural
language. This repository is the result of hundreds of risk assessment workshops
in oil and gas projects, conducted in over ten years in Petrobras.
This ontology is founded on the principles of the Basic Formal Ontology (BFO), a top-level ontology designed to describe scientific domains. One
of BFO s most distinct characteristic is its commitment to Realism, a philosophical view of reality in which its constituents exist independently of our
representations. On the domain-level, reservoir entities are described under
the principles of the GeoCore Ontology, a core ontology for Geology.
To validate the ResRiskOnto we annotate our risk documents repository
with the ontology s entities and relations, developing a model that recognizes
named entities and extracts the relations among them.
Our contribution is an application ontology that allows semantic reasoning over the risk documents. We also expect to provide (i) a basis for data
modelling in the case of reservoir-related risks; and (ii) a standard for future
risk documentation in the reservoir domain.
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