Do Shale Pore Throats Have a Threshold Diameter for Oil Storage? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-11

AUTHORS

Caineng Zou, Xu Jin, Rukai Zhu, Guangming Gong, Liang Sun, Jinxing Dai, Depeng Meng, Xiaoqi Wang, Jianming Li, Songtao Wu, Xiaodan Liu, Juntao Wu, Lei Jiang

ABSTRACT

In this work, a nanoporous template with a controllable channel diameter was used to simulate the oil storage ability of shale pore throats. On the basis of the wetting behaviours at the nanoscale solid-liquid interfaces, the seepage of oil in nano-channels of different diameters was examined to accurately and systematically determine the effect of the pore diameter on the oil storage capacity. The results indicated that the lower threshold for oil storage was a pore throat of 20 nm, under certain conditions. This proposed pore size threshold provides novel, evidence-based criteria for estimating the geological reserves, recoverable reserves and economically recoverable reserves of shale oil. This new understanding of shale oil processes could revolutionize the related industries. More... »

PAGES

13619

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep13619

DOI

http://dx.doi.org/10.1038/srep13619

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037579005

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26314637


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zou", 
        "givenName": "Caineng", 
        "id": "sg:person.014116707256.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014116707256.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beihang University", 
          "id": "https://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China", 
            "Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jin", 
        "givenName": "Xu", 
        "id": "sg:person.016452116335.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016452116335.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhu", 
        "givenName": "Rukai", 
        "id": "sg:person.010300701607.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010300701607.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beihang University", 
          "id": "https://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gong", 
        "givenName": "Guangming", 
        "id": "sg:person.01366102411.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366102411.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sun", 
        "givenName": "Liang", 
        "id": "sg:person.013603264031.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013603264031.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dai", 
        "givenName": "Jinxing", 
        "id": "sg:person.012111314671.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012111314671.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beihang University", 
          "id": "https://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meng", 
        "givenName": "Depeng", 
        "id": "sg:person.01102534347.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102534347.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Xiaoqi", 
        "id": "sg:person.012256436231.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012256436231.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Jianming", 
        "id": "sg:person.01216762747.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216762747.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Songtao", 
        "id": "sg:person.016661050306.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661050306.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sinopec (China)", 
          "id": "https://www.grid.ac/institutes/grid.418531.a", 
          "name": [
            "PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Xiaodan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Beihang University", 
          "id": "https://www.grid.ac/institutes/grid.64939.31", 
          "name": [
            "Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Juntao", 
        "id": "sg:person.0710611511.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710611511.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Chemistry", 
          "id": "https://www.grid.ac/institutes/grid.418929.f", 
          "name": [
            "Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China", 
            "Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences, Zhongguancun North First Street 2, Beijing, 100190, P.R. China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jiang", 
        "givenName": "Lei", 
        "id": "sg:person.01120153533.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120153533.36"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/9781119066354.ch67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005455462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1876-3804(10)60021-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009190101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1876-3804(10)60001-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013192866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0040-6090(02)00010-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013879265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11426-012-4707-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020985700", 
          "https://doi.org/10.1007/s11426-012-4707-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.orggeochem.2013.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023818634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1219009109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025773513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1876-3804(11)60001-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026819070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tsf.2003.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029979721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2478/s13533-011-0042-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033789946", 
          "https://doi.org/10.2478/s13533-011-0042-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1876-3804(13)60002-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041867363"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/tf9444000546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046413207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1541-1338.2012.00575.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047792534"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/494307a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048323519", 
          "https://doi.org/10.1038/494307a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ef3009794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055478758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie50320a024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055624024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/j150508a004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055692636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/j150526a014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055693087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1306/03301110145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064920095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2118/134830-ms", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096981941"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-11", 
    "datePublishedReg": "2015-11-01", 
    "description": "In this work, a nanoporous template with a controllable channel diameter was used to simulate the oil storage ability of shale pore throats. On the basis of the wetting behaviours at the nanoscale solid-liquid interfaces, the seepage of oil in nano-channels of different diameters was examined to accurately and systematically determine the effect of the pore diameter on the oil storage capacity. The results indicated that the lower threshold for oil storage was a pore throat of 20\u2009nm, under certain conditions. This proposed pore size threshold provides novel, evidence-based criteria for estimating the geological reserves, recoverable reserves and economically recoverable reserves of shale oil. This new understanding of shale oil processes could revolutionize the related industries. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/srep13619", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5014150", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "name": "Do Shale Pore Throats Have a Threshold Diameter for Oil Storage?", 
    "pagination": "13619", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b3036a3f667df1f7afe4e671a972f93c3c8b516d69648aa6126a3237149549c7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26314637"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep13619"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037579005"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep13619", 
      "https://app.dimensions.ai/details/publication/pub.1037579005"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:45", 
    "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/v90/0000000001_0000000264/records_8690_00000591.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://www.nature.com/srep/2015/150828/srep13619/full/srep13619.html"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1038/srep13619'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep13619'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep13619'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep13619'


 

This table displays all metadata directly associated to this object as RDF triples.

224 TRIPLES      21 PREDICATES      49 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep13619 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N6463b2f70447415b9515f9bac8720dcc
4 schema:citation sg:pub.10.1007/s11426-012-4707-6
5 sg:pub.10.1038/494307a
6 sg:pub.10.2478/s13533-011-0042-2
7 https://doi.org/10.1002/9781119066354.ch67
8 https://doi.org/10.1016/j.orggeochem.2013.12.011
9 https://doi.org/10.1016/j.tsf.2003.12.007
10 https://doi.org/10.1016/s0040-6090(02)00010-x
11 https://doi.org/10.1016/s1876-3804(10)60001-8
12 https://doi.org/10.1016/s1876-3804(10)60021-3
13 https://doi.org/10.1016/s1876-3804(11)60001-3
14 https://doi.org/10.1016/s1876-3804(13)60002-6
15 https://doi.org/10.1021/ef3009794
16 https://doi.org/10.1021/ie50320a024
17 https://doi.org/10.1021/j150508a004
18 https://doi.org/10.1021/j150526a014
19 https://doi.org/10.1039/tf9444000546
20 https://doi.org/10.1073/pnas.1219009109
21 https://doi.org/10.1111/j.1541-1338.2012.00575.x
22 https://doi.org/10.1306/03301110145
23 https://doi.org/10.2118/134830-ms
24 schema:datePublished 2015-11
25 schema:datePublishedReg 2015-11-01
26 schema:description In this work, a nanoporous template with a controllable channel diameter was used to simulate the oil storage ability of shale pore throats. On the basis of the wetting behaviours at the nanoscale solid-liquid interfaces, the seepage of oil in nano-channels of different diameters was examined to accurately and systematically determine the effect of the pore diameter on the oil storage capacity. The results indicated that the lower threshold for oil storage was a pore throat of 20 nm, under certain conditions. This proposed pore size threshold provides novel, evidence-based criteria for estimating the geological reserves, recoverable reserves and economically recoverable reserves of shale oil. This new understanding of shale oil processes could revolutionize the related industries.
27 schema:genre research_article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N4388a754c98f45609fb9800778fe915d
31 N6840ca5d5e6d444a9d0ba67a02b790bf
32 sg:journal.1045337
33 schema:name Do Shale Pore Throats Have a Threshold Diameter for Oil Storage?
34 schema:pagination 13619
35 schema:productId N728c88339e504249b7e68c7cfa266dfb
36 Nd7440412222e4a29901816b50ab57a53
37 Nee1b7d346ad44fb3861cbbe9481bdc0a
38 Nee33b5024aac49f484a6496f31698292
39 Nf651b60d0b3941059ec00ff6590f100b
40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037579005
41 https://doi.org/10.1038/srep13619
42 schema:sdDatePublished 2019-04-10T22:45
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher N26c28637100c48748b3873d2f950dc7c
45 schema:url http://www.nature.com/srep/2015/150828/srep13619/full/srep13619.html
46 sgo:license sg:explorer/license/
47 sgo:sdDataset articles
48 rdf:type schema:ScholarlyArticle
49 N1a4a3fe1b2ce4cca8e7a3e04f798f6b7 rdf:first N3855c395b68c416f910a6c8018d3e904
50 rdf:rest N6d877f7cb6fc4c46815a3c1cd630113e
51 N26c28637100c48748b3873d2f950dc7c schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 N3855c395b68c416f910a6c8018d3e904 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
54 schema:familyName Liu
55 schema:givenName Xiaodan
56 rdf:type schema:Person
57 N3a66148a344542f8aa65ed951d898646 rdf:first sg:person.016661050306.64
58 rdf:rest N1a4a3fe1b2ce4cca8e7a3e04f798f6b7
59 N4252217842cf451884f3447e7fbb1c91 rdf:first sg:person.01120153533.36
60 rdf:rest rdf:nil
61 N4388a754c98f45609fb9800778fe915d schema:volumeNumber 5
62 rdf:type schema:PublicationVolume
63 N43b430a6780549bea8c8343c7b93d302 rdf:first sg:person.01216762747.17
64 rdf:rest N3a66148a344542f8aa65ed951d898646
65 N6463b2f70447415b9515f9bac8720dcc rdf:first sg:person.014116707256.74
66 rdf:rest Nad97d03189204ffd93c34a8018097788
67 N6840ca5d5e6d444a9d0ba67a02b790bf schema:issueNumber 1
68 rdf:type schema:PublicationIssue
69 N6d877f7cb6fc4c46815a3c1cd630113e rdf:first sg:person.0710611511.52
70 rdf:rest N4252217842cf451884f3447e7fbb1c91
71 N7191ff27c1f74cd3a8c9cba43c6cfc56 rdf:first sg:person.01366102411.94
72 rdf:rest Nceb1790136fb42e4a3bbc0e88812ba61
73 N728c88339e504249b7e68c7cfa266dfb schema:name nlm_unique_id
74 schema:value 101563288
75 rdf:type schema:PropertyValue
76 N9baeebcd8e524cc9a1d92b106c586412 rdf:first sg:person.012111314671.37
77 rdf:rest Ne487fb0ca0c54114a55a3d2339cc9fc0
78 Nad97d03189204ffd93c34a8018097788 rdf:first sg:person.016452116335.07
79 rdf:rest Nc707d321dc0d40ee91735d686639b792
80 Nbc386b8f90754b9381dbe66f38cf9828 rdf:first sg:person.012256436231.38
81 rdf:rest N43b430a6780549bea8c8343c7b93d302
82 Nc707d321dc0d40ee91735d686639b792 rdf:first sg:person.010300701607.83
83 rdf:rest N7191ff27c1f74cd3a8c9cba43c6cfc56
84 Nceb1790136fb42e4a3bbc0e88812ba61 rdf:first sg:person.013603264031.20
85 rdf:rest N9baeebcd8e524cc9a1d92b106c586412
86 Nd7440412222e4a29901816b50ab57a53 schema:name readcube_id
87 schema:value b3036a3f667df1f7afe4e671a972f93c3c8b516d69648aa6126a3237149549c7
88 rdf:type schema:PropertyValue
89 Ne487fb0ca0c54114a55a3d2339cc9fc0 rdf:first sg:person.01102534347.03
90 rdf:rest Nbc386b8f90754b9381dbe66f38cf9828
91 Nee1b7d346ad44fb3861cbbe9481bdc0a schema:name doi
92 schema:value 10.1038/srep13619
93 rdf:type schema:PropertyValue
94 Nee33b5024aac49f484a6496f31698292 schema:name pubmed_id
95 schema:value 26314637
96 rdf:type schema:PropertyValue
97 Nf651b60d0b3941059ec00ff6590f100b schema:name dimensions_id
98 schema:value pub.1037579005
99 rdf:type schema:PropertyValue
100 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
101 schema:name Chemical Sciences
102 rdf:type schema:DefinedTerm
103 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
104 schema:name Physical Chemistry (incl. Structural)
105 rdf:type schema:DefinedTerm
106 sg:grant.5014150 http://pending.schema.org/fundedItem sg:pub.10.1038/srep13619
107 rdf:type schema:MonetaryGrant
108 sg:journal.1045337 schema:issn 2045-2322
109 schema:name Scientific Reports
110 rdf:type schema:Periodical
111 sg:person.010300701607.83 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
112 schema:familyName Zhu
113 schema:givenName Rukai
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010300701607.83
115 rdf:type schema:Person
116 sg:person.01102534347.03 schema:affiliation https://www.grid.ac/institutes/grid.64939.31
117 schema:familyName Meng
118 schema:givenName Depeng
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102534347.03
120 rdf:type schema:Person
121 sg:person.01120153533.36 schema:affiliation https://www.grid.ac/institutes/grid.418929.f
122 schema:familyName Jiang
123 schema:givenName Lei
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120153533.36
125 rdf:type schema:Person
126 sg:person.012111314671.37 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
127 schema:familyName Dai
128 schema:givenName Jinxing
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012111314671.37
130 rdf:type schema:Person
131 sg:person.01216762747.17 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
132 schema:familyName Li
133 schema:givenName Jianming
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216762747.17
135 rdf:type schema:Person
136 sg:person.012256436231.38 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
137 schema:familyName Wang
138 schema:givenName Xiaoqi
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012256436231.38
140 rdf:type schema:Person
141 sg:person.013603264031.20 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
142 schema:familyName Sun
143 schema:givenName Liang
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013603264031.20
145 rdf:type schema:Person
146 sg:person.01366102411.94 schema:affiliation https://www.grid.ac/institutes/grid.64939.31
147 schema:familyName Gong
148 schema:givenName Guangming
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366102411.94
150 rdf:type schema:Person
151 sg:person.014116707256.74 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
152 schema:familyName Zou
153 schema:givenName Caineng
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014116707256.74
155 rdf:type schema:Person
156 sg:person.016452116335.07 schema:affiliation https://www.grid.ac/institutes/grid.64939.31
157 schema:familyName Jin
158 schema:givenName Xu
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016452116335.07
160 rdf:type schema:Person
161 sg:person.016661050306.64 schema:affiliation https://www.grid.ac/institutes/grid.418531.a
162 schema:familyName Wu
163 schema:givenName Songtao
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016661050306.64
165 rdf:type schema:Person
166 sg:person.0710611511.52 schema:affiliation https://www.grid.ac/institutes/grid.64939.31
167 schema:familyName Wu
168 schema:givenName Juntao
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710611511.52
170 rdf:type schema:Person
171 sg:pub.10.1007/s11426-012-4707-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020985700
172 https://doi.org/10.1007/s11426-012-4707-6
173 rdf:type schema:CreativeWork
174 sg:pub.10.1038/494307a schema:sameAs https://app.dimensions.ai/details/publication/pub.1048323519
175 https://doi.org/10.1038/494307a
176 rdf:type schema:CreativeWork
177 sg:pub.10.2478/s13533-011-0042-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033789946
178 https://doi.org/10.2478/s13533-011-0042-2
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1002/9781119066354.ch67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005455462
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.orggeochem.2013.12.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023818634
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.tsf.2003.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029979721
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/s0040-6090(02)00010-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013879265
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/s1876-3804(10)60001-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013192866
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s1876-3804(10)60021-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009190101
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s1876-3804(11)60001-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026819070
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/s1876-3804(13)60002-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041867363
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1021/ef3009794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055478758
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1021/ie50320a024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055624024
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1021/j150508a004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055692636
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1021/j150526a014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055693087
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1039/tf9444000546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046413207
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1073/pnas.1219009109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025773513
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/j.1541-1338.2012.00575.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047792534
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1306/03301110145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064920095
211 rdf:type schema:CreativeWork
212 https://doi.org/10.2118/134830-ms schema:sameAs https://app.dimensions.ai/details/publication/pub.1096981941
213 rdf:type schema:CreativeWork
214 https://www.grid.ac/institutes/grid.418531.a schema:alternateName Sinopec (China)
215 schema:name PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China
216 rdf:type schema:Organization
217 https://www.grid.ac/institutes/grid.418929.f schema:alternateName Institute of Chemistry
218 schema:name Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences, Zhongguancun North First Street 2, Beijing, 100190, P.R. China
219 Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China
220 rdf:type schema:Organization
221 https://www.grid.ac/institutes/grid.64939.31 schema:alternateName Beihang University
222 schema:name Key Laboratory of Bio-Inspired Smart Interfacial Science, Technology of Ministry of Education, School of Chemistry and Environment, Beihang University, Beijing, 100191, P.R. China
223 PetroChina Research Institute of Petroleum Exploration & Development (RIPED), Beijing, 100083, P.R. China
224 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...