Please use this identifier to cite or link to this item: https://doi.org/10.2481/dsj.6.GH25
DC FieldValue
dc.titleModeling hydrates and the gas hydrate markup language
dc.contributor.authorWeihua, W
dc.contributor.authorMoridis, G
dc.contributor.authorRunqiang, W
dc.contributor.authorYun, X
dc.contributor.authorJianhui, L
dc.date.accessioned2020-10-20T09:30:04Z
dc.date.available2020-10-20T09:30:04Z
dc.date.issued2007
dc.identifier.citationWeihua, W, Moridis, G, Runqiang, W, Yun, X, Jianhui, L (2007). Modeling hydrates and the gas hydrate markup language. Data Science Journal 6 (SPEC. ISS.) : GH25-GH36. ScholarBank@NUS Repository. https://doi.org/10.2481/dsj.6.GH25
dc.identifier.issn1683-1470
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178352
dc.description.abstractNatural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hydrate research, a great amount of scientific data on gas hydrates has been accumulated. Therefore the means to manage, share, and exchange these data have become an urgent task. At present, metadata (Markup Language) is recognized as one of the most efficient ways to facilitate data management, storage, integration, exchange, discovery and retrieval. Therefore the CODATA Gas Hydrate Data Task Group proposed and specified Gas Hydrate Markup Language (GHML) as an extensible conceptual metadata model to characterize the features of data on gas hydrate. This article introduces the details of modeling portion of GHML.
dc.publisherUbiquity Press
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectClimate change
dc.subjectMarkup languages
dc.subjectMathematical models
dc.subjectMetadata
dc.subjectFlow assurance hazards
dc.subjectGas Hydrate Markup Language (GHML)
dc.subjectGas hydrates
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.2481/dsj.6.GH25
dc.description.sourcetitleData Science Journal
dc.description.volume6
dc.description.issueSPEC. ISS.
dc.description.pageGH25-GH36
dc.published.statepublished
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