University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

A quantitative analysis of flow properties and heterogeneity in shale rocks using Computed Tomography imaging and finite-element based simulation

Simple item page
dc.contributor.authorAdeleye, James Olugbade
dc.contributor.authorAkanji, Lateef
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.date.accessioned2023-08-18T23:08:06Z
dc.date.available2023-08-18T23:08:06Z
dc.date.embargoedUntil2023-08-19
dc.date.issued2022-10-01
dc.descriptionAcknowledgement The authors wish to acknowledge and appreciate the support received from Petroleum Technology Development Fund (PTDF), Nigeria on this project.en
dc.description.statusPeer revieweden
dc.format.extent27
dc.format.extent8886262
dc.identifier218576475
dc.identifier23a86bda-8c9d-4245-9e6f-6cd5f8ed1a48
dc.identifier000855056600002
dc.identifier85137287320
dc.identifier.citationAdeleye, J O & Akanji, L 2022, 'A quantitative analysis of flow properties and heterogeneity in shale rocks using Computed Tomography imaging and finite-element based simulation', Journal of Natural Gas Science & Engineering, vol. 106, 104742. https://doi.org/10.1016/j.jngse.2022.104742en
dc.identifier.doi10.1016/j.jngse.2022.104742
dc.identifier.issn1875-5100
dc.identifier.otherORCID: /0000-0001-5158-6134/work/158672723
dc.identifier.urihttps://hdl.handle.net/2164/21502
dc.identifier.vol106en
dc.language.isoeng
dc.relation.ispartofJournal of Natural Gas Science & Engineeringen
dc.subjectUnconventional shale rocksen
dc.subjectPermeabilityen
dc.subjectDegree of heterogeneityen
dc.subjectEagle Forden
dc.subjectMancosen
dc.subjectMarcellusen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subject.lccTAen
dc.titleA quantitative analysis of flow properties and heterogeneity in shale rocks using Computed Tomography imaging and finite-element based simulationen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Adeleye_etal_JNGSE_A_Quantitative_Analysis_AAM.pdf
Size:
8.47 MB
Format:
Adobe Portable Document Format
Download

Collections

All research