Quantitative analysis of statistical properties of organic-rich mudstone using large field-of-view SEM images
This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mos...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bizhani, Majid [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: One-step solution-combustion synthesis of complex spinel titanate flake particles with enhanced lithium-storage properties - Li, Xue ELSEVIER, 2015transfer abstract, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:95 ; year:2021 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jngse.2021.104238 |
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| 520 | |a This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. | ||
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10.1016/j.jngse.2021.104238 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001526.pica (DE-627)ELV055258077 (ELSEVIER)S1875-5100(21)00436-4 DE-627 ger DE-627 rakwb eng 620 VZ 690 VZ 50.92 bkl Bizhani, Majid verfasserin aut Quantitative analysis of statistical properties of organic-rich mudstone using large field-of-view SEM images 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. Two-point correlation function Elsevier Pore characterization Elsevier Image segmentation Elsevier Duvernay formation Elsevier Shale pore size distribution Elsevier Chord length Elsevier Ardakani, Omid H. oth Knapp, Levi J. oth Akai, Takashi oth Enthalten in Elsevier Li, Xue ELSEVIER One-step solution-combustion synthesis of complex spinel titanate flake particles with enhanced lithium-storage properties 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV013144928 volume:95 year:2021 pages:0 https://doi.org/10.1016/j.jngse.2021.104238 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 95 2021 0 |
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10.1016/j.jngse.2021.104238 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001526.pica (DE-627)ELV055258077 (ELSEVIER)S1875-5100(21)00436-4 DE-627 ger DE-627 rakwb eng 620 VZ 690 VZ 50.92 bkl Bizhani, Majid verfasserin aut Quantitative analysis of statistical properties of organic-rich mudstone using large field-of-view SEM images 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. Two-point correlation function Elsevier Pore characterization Elsevier Image segmentation Elsevier Duvernay formation Elsevier Shale pore size distribution Elsevier Chord length Elsevier Ardakani, Omid H. oth Knapp, Levi J. oth Akai, Takashi oth Enthalten in Elsevier Li, Xue ELSEVIER One-step solution-combustion synthesis of complex spinel titanate flake particles with enhanced lithium-storage properties 2015transfer abstract Amsterdam [u.a.] (DE-627)ELV013144928 volume:95 year:2021 pages:0 https://doi.org/10.1016/j.jngse.2021.104238 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 95 2021 0 |
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This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. |
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This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. |
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This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. The samples are from the Upper Devonian Duvernay Formation at the onset of the condensate hydrocarbon window. Our data set contains 12 mosaic SEM images which were each obtained by stitching 100+ high-resolution SEM images. The goal was to establish a basis for deriving meaningful statistical properties of the pore space that can be used for characterization and possibly up-scaling purposes. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV055258077</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230624220714.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220105s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jngse.2021.104238</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001526.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV055258077</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S1875-5100(21)00436-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">690</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">50.92</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bizhani, Majid</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Quantitative analysis of statistical properties of organic-rich mudstone using large field-of-view SEM images</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents a quantitative and statistical analysis of large field-of-view (FOV) scanning electron microscope (SEM) images of organic-rich shale samples. 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