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Direct rock data is the data that is acquired by direct observation of the rock, like descriptions of well cores, instead of indirect data, like seismic, well logs, etc. Directly observed data is important because it allows calibration of indirect interpretation methods, detection of errors in their evaluations and also to verify rock properties that is not possible when using indirect data. The authors claim that a well defined ontology can help in describing reservoir petrofacies, which are aggregates of rock data that can be detected through a special signature in the registers of indirectly collected rock data and, therefore, they can use to integrate rock data in reservoir models.<\/jats:p>","DOI":"10.4018\/ijmstr.2017010104","type":"journal-article","created":{"date-parts":[[2017,5,31]],"date-time":"2017-05-31T13:50:08Z","timestamp":1496238608000},"page":"71-82","source":"Crossref","is-referenced-by-count":1,"title":["A Conceptual Framework for Rock Data Integration in Reservoir Models Based on Ontologies"],"prefix":"10.4018","volume":"5","author":[{"given":"Luan Fonseca","family":"Garcia","sequence":"first","affiliation":[{"name":"Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vinicius","family":"Graciolli","sequence":"additional","affiliation":[{"name":"Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luiz Fernando","family":"De Ros","sequence":"additional","affiliation":[{"name":"Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mara","family":"Abel","sequence":"additional","affiliation":[{"name":"Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJMSTR.2017010104-0","unstructured":"Abel, M. 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