Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis

Research output: Contribution to journal › Article › Research › peer-review

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Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis. / Shi, Xiangyun; Misch, David; Skerbisch, Lukas et al.
In: Marine and petroleum geology, Vol. 169, 107083, 11.2024.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Shi, X, Misch, D, Skerbisch, L, Sachsenhofer, RF, Zak, S, Cordill, M & Kiener, D 2024, 'Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis', Marine and petroleum geology, vol. 169, 107083. https://doi.org/10.1016/j.marpetgeo.2024.107083

APA

Shi, X., Misch, D., Skerbisch, L., Sachsenhofer, R. F., Zak, S., Cordill, M., & Kiener, D. (2024). Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis. Marine and petroleum geology, 169, Article 107083. https://doi.org/10.1016/j.marpetgeo.2024.107083

Vancouver

Shi X, Misch D, Skerbisch L, Sachsenhofer RF, Zak S, Cordill M et al. Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis. Marine and petroleum geology. 2024 Nov;169:107083. doi: 10.1016/j.marpetgeo.2024.107083

Author

Shi, Xiangyun ; Misch, David ; Skerbisch, Lukas et al. / Unraveling mudstone compaction at microscale : A combined approach of nanoindentation mapping and machine learning data analysis. In: Marine and petroleum geology. 2024 ; Vol. 169.

Bibtex - Download

@article{423dd4b83f0f457a8f7f373f8b800bd2,
title = "Unraveling mudstone compaction at microscale: A combined approach of nanoindentation mapping and machine learning data analysis",
keywords = "BIB-SEM, Geoenergy, Machine learning, Mudstone compaction, Nanoindentation, Seal analysis, Vienna basin",
author = "Xiangyun Shi and David Misch and Lukas Skerbisch and Sachsenhofer, {Reinhard F.} and Stanislav Zak and Megan Cordill and Daniel Kiener",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
month = nov,
doi = "10.1016/j.marpetgeo.2024.107083",
language = "English",
volume = "169",
journal = "Marine and petroleum geology",
issn = "0264-8172",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Unraveling mudstone compaction at microscale

T2 - A combined approach of nanoindentation mapping and machine learning data analysis

AU - Shi, Xiangyun

AU - Misch, David

AU - Skerbisch, Lukas

AU - Sachsenhofer, Reinhard F.

AU - Zak, Stanislav

AU - Cordill, Megan

AU - Kiener, Daniel

N1 - Publisher Copyright: © 2024 The Authors

PY - 2024/11

Y1 - 2024/11

KW - BIB-SEM

KW - Geoenergy

KW - Machine learning

KW - Mudstone compaction

KW - Nanoindentation

KW - Seal analysis

KW - Vienna basin

UR - http://www.scopus.com/inward/record.url?scp=85202867501&partnerID=8YFLogxK

U2 - 10.1016/j.marpetgeo.2024.107083

DO - 10.1016/j.marpetgeo.2024.107083

M3 - Article

AN - SCOPUS:85202867501

VL - 169

JO - Marine and petroleum geology

JF - Marine and petroleum geology

SN - 0264-8172

M1 - 107083

ER -

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