50 anos da UNESP
Logotipo do repositório

Using Knowledge Graphs to Analyze Geomechanical Events in Daily Drilling Reports

Página do item simplificado
dc.contributor.authorQueiroz, Jonas [UNESP]
dc.contributor.authorAfonso, Luis C. S. [UNESP]
dc.contributor.authorChoueri, Nelson
dc.contributor.authorJaculli, Marcelo A.
dc.contributor.authorGuilherme, Ivan R. [UNESP]
dc.contributor.authorPenteado, Bruno E. [UNESP]
dc.contributor.authorMendes, Jose R. P.
dc.contributor.authorPapa, João [UNESP]
dc.contributor.authorPerrout, Stephan R.
dc.contributor.authorOliveira, Felipe L.
dc.contributor.editorEdward Curry, Valentina Presutti, John McCrae, Mehwish Alam, Pieter Colpaert, Josiane Xavier Parreira, Diego Collarana, Marta Sabou, Andreas Harth, Pasquale Lisena
dc.date.accessioned2026-05-08T11:22:02Z
dc.date.issued2025-10-13
dc.description.abstractAnalysing Geomechanical events reported in Daily Drilling Reports (DDRs) is essential for operational planning to prevent non-productive time and economic losses. This work describes an automated tool that leverages natural language processing, ontologies and Knowledge Graphs to extract such events along with their contextual data. The semantic and structured representation of this information enables its effective retrieval and the DDR analysis, significantly reducing the required effort and time.
dc.description.affiliationSão Paulo State University (UNESP), IGCE/DEMAC, Rio Claro, Brazil
dc.description.affiliationSão Paulo State University (UNESP), School of Sciences, Bauru, Brazil
dc.description.affiliationUniversity of Campinas (UNICAMP), FEM, Campinas, Brazil
dc.description.affiliationPetrobras, CENPES, Rio de Janeiro, Brazil
dc.description.affiliationUnespSão Paulo State University (UNESP), IGCE/DEMAC, Rio Claro, Brazil
dc.description.affiliationUnespSão Paulo State University (UNESP), School of Sciences, Bauru, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1193843099
dc.identifier.bookDoi10.1007/978-3-031-99554-5
dc.identifier.dimensionspub.1193843099
dc.identifier.doi10.1007/978-3-031-99554-5_48
dc.identifier.isbn978-3-031-99553-8
dc.identifier.isbn978-3-031-99554-5
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcid0000-0001-5416-4762
dc.identifier.orcid0000-0002-5543-3896
dc.identifier.orcid0000-0002-5609-9236
dc.identifier.orcid0000-0001-9025-4589
dc.identifier.orcid0000-0002-3610-3779
dc.identifier.orcid0000-0002-8366-5512
dc.identifier.orcid0000-0002-0932-6627
dc.identifier.orcid0000-0002-6494-7514
dc.identifier.orcid0000-0001-8439-0461
dc.identifier.urihttps://hdl.handle.net/11449/323508
dc.publisherSpringer Nature
dc.relation.ispartofLecture Notes in Computer Science; v. 15832; p. 314-317
dc.relation.ispartofThe Semantic Web: ESWC 2025 Satellite Events
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleUsing Knowledge Graphs to Analyze Geomechanical Events in Daily Drilling Reports
dc.typeCapítulo de livropt
dspace.entity.typePublication
relation.isOrgUnitOfPublication4763ec56-704e-41e0-9685-b5bef5946feb
relation.isOrgUnitOfPublicationaef1f5df-a00f-45f4-b366-6926b097829b
relation.isOrgUnitOfPublication.latestForDiscovery4763ec56-704e-41e0-9685-b5bef5946feb
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Bauru

Arquivos

Coleções

Rio Claro - IGCE - Instituto de Geociências e Ciências Exatas
Bauru - FC - Faculdade de Ciências