Ontology type: schema:ScholarlyArticle
2018-04
AUTHORSDelu Li, Rongxi Li, Zengwu Zhu, Xiaoli Wu, Futian Liu, Bangsheng Zhao, Baoping Wang
ABSTRACTHydrothermal fluid activity during sedimentation of the Triassic Yanchang Formation in the Ordos Basin and the impact of said activity on formation and preservation conditions of source rocks have received little attention. Oil yield, major element, trace element, rare earth element, and total sulfur (TS) data from the oil shale within the Yanchang are here presented and discussed in the context of hydrothermal influence. Oil shale samples returned relatively high total organic carbon (TOC), in the range of 4.69%–25.48%. A high correlation between TS and TOC suggests TS in the oil shale is dominated by organic sulfur and affected by organic matter. The low Al/Si ratio of oil shale samples implies quartz is a major mineralogical component. Si/(Si + Al + Fe) values suggest close proximity of the oil shale to a terrigenous source. δEu; Fe versus Mn versus (Cu + Co + Ni) × 10; and SiO2/(K2O + Na2O) versus MnO/TiO2, Fe/Ti, and (Fe + Mn)/Ti are evidence of hydrothermal fluid activity during oil shale sedimentation, and δU and U/Th of the oil shale indicate reducing conditions. The Sr/Ba of oil shale samples suggests fresh-water deposition. The high correlations of Fe/Ti and (Fe + Mn)/Ti with δU, U/Th, and TS demonstrate that hydrothermal fluid activity promotes reducing conditions. Sr/Ba ratios had low correlation with Fe/Ti and (Fe + Mn)/Ti, implying that hydrothermal fluid activity had little impact on paleosalinity. Fe/Ti, (Fe + Mn)/Ti, δU, U/Th, and Cu + Pb + Zn all exhibited high positive correlation coefficients with TOC in oil shale samples, suggesting that more intense hydrothermal fluid activity improves conditions in favor of formation and preservation of organic matter. More... »
PAGES215-227
http://scigraph.springernature.com/pub.10.1007/s11631-017-0203-1
DOIhttp://dx.doi.org/10.1007/s11631-017-0203-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1090585794
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/2008/0402",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Geochemistry",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Earth Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Chang'an University",
"id": "https://www.grid.ac/institutes/grid.440661.1",
"name": [
"School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Delu",
"id": "sg:person.014271160514.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014271160514.96"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chang'an University",
"id": "https://www.grid.ac/institutes/grid.440661.1",
"name": [
"School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Rongxi",
"id": "sg:person.011223236746.19",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011223236746.19"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Shaanxi Center of Geological Survey, 710068, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Zhu",
"givenName": "Zengwu",
"id": "sg:person.012565155514.60",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012565155514.60"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chang'an University",
"id": "https://www.grid.ac/institutes/grid.440661.1",
"name": [
"School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Wu",
"givenName": "Xiaoli",
"id": "sg:person.012466232325.66",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012466232325.66"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chang'an University",
"id": "https://www.grid.ac/institutes/grid.440661.1",
"name": [
"School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Futian",
"id": "sg:person.07645366714.31",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07645366714.31"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Chang'an University",
"id": "https://www.grid.ac/institutes/grid.440661.1",
"name": [
"School of Earth Sciences and Resources, Chang\u2019an University, 710054, Xi\u2019an, China"
],
"type": "Organization"
},
"familyName": "Zhao",
"givenName": "Bangsheng",
"id": "sg:person.011240327714.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011240327714.33"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Yanchang Oilfiled Co., Ltd, 716000, Yan\u2019an, China"
],
"type": "Organization"
},
"familyName": "Wang",
"givenName": "Baoping",
"id": "sg:person.015241214363.65",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015241214363.65"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/978-1-4899-0402-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003082268",
"https://doi.org/10.1007/978-1-4899-0402-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4899-0402-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003082268",
"https://doi.org/10.1007/978-1-4899-0402-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.fuel.2016.04.070",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010658260"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.chemgeo.2006.02.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017035383"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11430-014-4979-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018162919",
"https://doi.org/10.1007/s11430-014-4979-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s1876-3804(10)60043-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021993862"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.apgeochem.2014.11.028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022059111"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/b978-0-08-012835-1.50074-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022235446"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0009-2541(94)90085-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022775821"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0009-2541(94)90085-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022775821"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11631-016-0123-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024371226",
"https://doi.org/10.1007/s11631-016-0123-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11631-016-0123-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024371226",
"https://doi.org/10.1007/s11631-016-0123-5"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jseaes.2013.11.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030450427"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.coal.2016.06.015",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031641445"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sedgeo.2016.09.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048524718"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.coal.2009.12.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048565912"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1155/2014/780910",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053286171"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1360/02yc0141",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1065066446",
"https://doi.org/10.1360/02yc0141"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3176/oil.2010.3.02",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071107026"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3176/oil.2010.3.02",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071107026"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-04",
"datePublishedReg": "2018-04-01",
"description": "Hydrothermal fluid activity during sedimentation of the Triassic Yanchang Formation in the Ordos Basin and the impact of said activity on formation and preservation conditions of source rocks have received little attention. Oil yield, major element, trace element, rare earth element, and total sulfur (TS) data from the oil shale within the Yanchang are here presented and discussed in the context of hydrothermal influence. Oil shale samples returned relatively high total organic carbon (TOC), in the range of 4.69%\u201325.48%. A high correlation between TS and TOC suggests TS in the oil shale is dominated by organic sulfur and affected by organic matter. The low Al/Si ratio of oil shale samples implies quartz is a major mineralogical component. Si/(Si + Al + Fe) values suggest close proximity of the oil shale to a terrigenous source. \u03b4Eu; Fe versus Mn versus (Cu + Co + Ni) \u00d7 10; and SiO2/(K2O + Na2O) versus MnO/TiO2, Fe/Ti, and (Fe + Mn)/Ti are evidence of hydrothermal fluid activity during oil shale sedimentation, and \u03b4U and U/Th of the oil shale indicate reducing conditions. The Sr/Ba of oil shale samples suggests fresh-water deposition. The high correlations of Fe/Ti and (Fe + Mn)/Ti with \u03b4U, U/Th, and TS demonstrate that hydrothermal fluid activity promotes reducing conditions. Sr/Ba ratios had low correlation with Fe/Ti and (Fe + Mn)/Ti, implying that hydrothermal fluid activity had little impact on paleosalinity. Fe/Ti, (Fe + Mn)/Ti, \u03b4U, U/Th, and Cu + Pb + Zn all exhibited high positive correlation coefficients with TOC in oil shale samples, suggesting that more intense hydrothermal fluid activity improves conditions in favor of formation and preservation of organic matter.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11631-017-0203-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isFundedItemOf": [
{
"id": "sg:grant.6984083",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1152725",
"issn": [
"2096-0956",
"2365-7499"
],
"name": "Acta Geochimica",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "37"
}
],
"name": "Influence on lacustrine source rock by hydrothermal fluid: a case study of the Chang 7 oil shale, southern Ordos Basin",
"pagination": "215-227",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"7b4e56a4f4eb4b8303e1436d820ffb6b8bf172940a12ecc368f2a6123f599aa6"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11631-017-0203-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1090585794"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11631-017-0203-1",
"https://app.dimensions.ai/details/publication/pub.1090585794"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T09:56",
"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/v90/0000000347_0000000347/records_89804_00000003.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs11631-017-0203-1"
}
]
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.10.1007/s11631-017-0203-1'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11631-017-0203-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11631-017-0203-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11631-017-0203-1'
This table displays all metadata directly associated to this object as RDF triples.
161 TRIPLES
21 PREDICATES
43 URIs
19 LITERALS
7 BLANK NODES