Ontology type: schema:ScholarlyArticle
2018-03
AUTHORSD. S. Korneev, V. N. Melenevskii, G. S. Pevneva, A. K. Golovko
ABSTRACTThe group composition of hydrocarbons (HC) and hetero compounds in the products of stepwise thermolysis of asphaltenes from crude oil of the Usa oilfield at temperatures of 120, 230, 370, 500 and 750°C has been studied. The volatile thermolysis products formed at each step of the process have been studied by gas chromatography–mass spectrometry. It has been found that the main products of stepwise thermolysis of asphaltene molecules are alkylbenzenes (AB) and saturated aliphatic hydrocarbons (SAH), aromatic fragments obtained at 370°C are mainly separate structural blocks of asphaltene molecules, and benzothiophenes (BT) predominate over dibenzothiophenes (DBT) as structural units of asphaltene molecules. It has been shown that with an increase in the process temperature, the alkylbenzenes/saturated aliphatic hydrocarbons ratio (AB/SAH + Alkenes) increases by a factor of 6 to 7; the phenanthrene/alkylbenzenes (PN/AB) ratio and the polycyclic aromatic hydrocarbons/alkylbenzenes (PAH/AB) ratio decrease by ten- and twofold, respectively; and the naphthalenes/alkylbenzenes (NP/AB) ratio increases by two times. More... »
PAGES179-185
http://scigraph.springernature.com/pub.10.1134/s096554411803012x
DOIhttp://dx.doi.org/10.1134/s096554411803012x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1101895248
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Physical Chemistry (incl. Structural)",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Chemical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Institute of Petroleum Chemistry",
"id": "https://www.grid.ac/institutes/grid.465443.4",
"name": [
"Institute of Petroleum Chemistry, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Korneev",
"givenName": "D. S.",
"id": "sg:person.014200652443.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014200652443.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Russian Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.4886.2",
"name": [
"Institute of Oil and Gas Geology and Geophysics, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Melenevskii",
"givenName": "V. N.",
"id": "sg:person.012064523353.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012064523353.00"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute of Petroleum Chemistry",
"id": "https://www.grid.ac/institutes/grid.465443.4",
"name": [
"Institute of Petroleum Chemistry, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Pevneva",
"givenName": "G. S.",
"id": "sg:person.010042414365.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010042414365.30"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Russian Academy of Sciences",
"id": "https://www.grid.ac/institutes/grid.4886.2",
"name": [
"Institute of Petroleum Chemistry, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia",
"Institute of Oil and Gas Geology and Geophysics, Siberian Branch, Russian Academy of Sciences, Tomsk, Russia"
],
"type": "Organization"
},
"familyName": "Golovko",
"givenName": "A. K.",
"id": "sg:person.012261640405.02",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012261640405.02"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.proche.2014.10.055",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018585558"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rgg.2012.10.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018620278"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.rgg.2012.10.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018620278"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544115010053",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021839779",
"https://doi.org/10.1134/s0965544115010053"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/jacs.5b04056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026789133"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fuel.2015.04.065",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033464750"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544109040021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034977535",
"https://doi.org/10.1134/s0965544109040021"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544109040021",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034977535",
"https://doi.org/10.1134/s0965544109040021"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544113040051",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036284533",
"https://doi.org/10.1134/s0965544113040051"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544111030066",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041615588",
"https://doi.org/10.1134/s0965544111030066"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s096554411402008x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041625022",
"https://doi.org/10.1134/s096554411402008x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544111060089",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042818781",
"https://doi.org/10.1134/s0965544111060089"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544112020077",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043742722",
"https://doi.org/10.1134/s0965544112020077"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10553-015-0620-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044332208",
"https://doi.org/10.1007/s10553-015-0620-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fuproc.2014.11.027",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048949654"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544111040062",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049068594",
"https://doi.org/10.1134/s0965544111040062"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0965544112040081",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052989815",
"https://doi.org/10.1134/s0965544112040081"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/acs.energyfuels.5b02094",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055085999"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef301521q",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055478953"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef301522m",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055478954"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef400168a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055479235"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef401751s",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055479758"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef401967v",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055479828"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef401977j",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055479834"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef700477a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055481049"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1021/ef700477a",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1055481049"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1201/b13879",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1108525233"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-03",
"datePublishedReg": "2018-03-01",
"description": "The group composition of hydrocarbons (HC) and hetero compounds in the products of stepwise thermolysis of asphaltenes from crude oil of the Usa oilfield at temperatures of 120, 230, 370, 500 and 750\u00b0C has been studied. The volatile thermolysis products formed at each step of the process have been studied by gas chromatography\u2013mass spectrometry. It has been found that the main products of stepwise thermolysis of asphaltene molecules are alkylbenzenes (AB) and saturated aliphatic hydrocarbons (SAH), aromatic fragments obtained at 370\u00b0C are mainly separate structural blocks of asphaltene molecules, and benzothiophenes (BT) predominate over dibenzothiophenes (DBT) as structural units of asphaltene molecules. It has been shown that with an increase in the process temperature, the alkylbenzenes/saturated aliphatic hydrocarbons ratio (AB/SAH + Alkenes) increases by a factor of 6 to 7; the phenanthrene/alkylbenzenes (PN/AB) ratio and the polycyclic aromatic hydrocarbons/alkylbenzenes (PAH/AB) ratio decrease by ten- and twofold, respectively; and the naphthalenes/alkylbenzenes (NP/AB) ratio increases by two times.",
"genre": "research_article",
"id": "sg:pub.10.1134/s096554411803012x",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1136087",
"issn": [
"0965-5441",
"1555-6239"
],
"name": "Petroleum Chemistry",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "58"
}
],
"name": "Group Composition of Hydrocarbons and Hetero Compounds in Stepwise-Thermolysis Products of Asphaltenes from Usa Oil",
"pagination": "179-185",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"88d03713308abdc336b960fafacde0420e8c13e11268340ee21b8c173e4635ac"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1134/s096554411803012x"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1101895248"
]
}
],
"sameAs": [
"https://doi.org/10.1134/s096554411803012x",
"https://app.dimensions.ai/details/publication/pub.1101895248"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T14:03",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130831_00000005.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1134%2FS096554411803012X"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/s096554411803012x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s096554411803012x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s096554411803012x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s096554411803012x'
This table displays all metadata directly associated to this object as RDF triples.
168 TRIPLES
21 PREDICATES
51 URIs
19 LITERALS
7 BLANK NODES