Data

CIPS sandstone microstructure

Commonwealth Scientific and Industrial Research Organisation
Yang, Sam ; Liu, Keyu ; Mayo, Sherry ; Tulloh, Andrew
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/5476787A1A50F&rft.title=CIPS sandstone microstructure&rft.identifier=https://doi.org/10.4225/08/5476787A1A50F&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Collection of CIPS (Calcite In situ Preciptation System) core sandstone data include CT projection images at 35keV and 45keV, CT reconstructured slices, and DCM reconstructured pore and mineral phases distributions in 3D. Additional information and data, such as .dcm data files, SEM and optical images, EXCEL spreadsheet, animations, are also included.\r\nThe CT slices have been aligned, corrected for inconsistency, and re-scaled according to the known phases, such as pores and quartz.\nLineage: To open the .dcm files, one needs the DCM software at https://data.csiro.au/dap/landingpage?pid=csiro:9448\nTo view the .vod files, one needs to the X-TRACT software at http://ts-imaging.net. Ref: Y. S. Yang, K. Y. Liu, S. Mayo, A. Tulloh, B. Clennell, T. Q. Xiao, A data-constrained modelling approach to sandstone microstructure characterization. J. Petroleum Science & Technology 105 (2013) pp76-83. doi: http://authors.elsevier.com/sd/article/S0920410513000703; 55.\tRuru Li, Y. Sam Yang, Jinxiao Pan, Gerald Pereira, Clement Chu, John Taylor, Caineng Zou, Mian Lin, Lattice Boltzmann modeling of permeability in porous materials with partially percolating voxels. Phys Rev E 90 (2014) 033301. DOI: 10.1103/PhysRevE.90.033301. URL: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.033301; 7.\tY.S. Yang, A data-constrained non-linear optimisation approach to a data-constrained model for compositional microstructure prediction. In Lecture Notes in Information Technology 15 (ISBN: 978-1-61275-015-6, ISSN:2070-1918, Electronically available at http://www.ier-institute.org/2070-1918.html, 2012, Information Engineering Research Institute) pp198-205; 24.\tY S Yang, A Tulloh, F Chen, K Y Liu, B Clennell, J Taylor, Data-constrained characterization of sandstone microstructures with multi-energy X-ray CT. J. Phys – Conference Series 463 (2013) 012048 doi:10.1088/1742-6596/463/1/012048. http://iopscience.iop.org/1742-6596/463/1/012048;jsessionid=14D8BB5CBA864ED3F7736044199DEC49.c3&rft.creator=Yang, Sam &rft.creator=Liu, Keyu &rft.creator=Mayo, Sherry &rft.creator=Tulloh, Andrew &rft.date=2014&rft.edition=v2&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO Australia 2012.&rft_subject=CIPS&rft_subject=X-ray CT&rft_subject=DCM&rft_subject=microstructure&rft_subject=Resource geoscience&rft_subject=Geology&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

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Collection of CIPS (Calcite In situ Preciptation System) core sandstone data include CT projection images at 35keV and 45keV, CT reconstructured slices, and DCM reconstructured pore and mineral phases distributions in 3D. Additional information and data, such as .dcm data files, SEM and optical images, EXCEL spreadsheet, animations, are also included.
The CT slices have been aligned, corrected for inconsistency, and re-scaled according to the known phases, such as pores and quartz.
Lineage: To open the .dcm files, one needs the DCM software at https://data.csiro.au/dap/landingpage?pid=csiro:9448
To view the .vod files, one needs to the X-TRACT software at http://ts-imaging.net. Ref: Y. S. Yang, K. Y. Liu, S. Mayo, A. Tulloh, B. Clennell, T. Q. Xiao, A data-constrained modelling approach to sandstone microstructure characterization. J. Petroleum Science & Technology 105 (2013) pp76-83. doi: http://authors.elsevier.com/sd/article/S0920410513000703; 55.\tRuru Li, Y. Sam Yang, Jinxiao Pan, Gerald Pereira, Clement Chu, John Taylor, Caineng Zou, Mian Lin, Lattice Boltzmann modeling of permeability in porous materials with partially percolating voxels. Phys Rev E 90 (2014) 033301. DOI: 10.1103/PhysRevE.90.033301. URL: http://journals.aps.org/pre/abstract/10.1103/PhysRevE.90.033301; 7.\tY.S. Yang, A data-constrained non-linear optimisation approach to a data-constrained model for compositional microstructure prediction. In Lecture Notes in Information Technology 15 (ISBN: 978-1-61275-015-6, ISSN:2070-1918, Electronically available at http://www.ier-institute.org/2070-1918.html, 2012, Information Engineering Research Institute) pp198-205; 24.\tY S Yang, A Tulloh, F Chen, K Y Liu, B Clennell, J Taylor, Data-constrained characterization of sandstone microstructures with multi-energy X-ray CT. J. Phys – Conference Series 463 (2013) 012048 doi:10.1088/1742-6596/463/1/012048. http://iopscience.iop.org/1742-6596/463/1/012048;jsessionid=14D8BB5CBA864ED3F7736044199DEC49.c3

Available: 2014-11-27

Data time period: 2010-03-28 to 2012-08-28

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