Data constrained modelling

Data constrained modelling (DCM) refers to a research and development methodology where the sample-specific data and information, and a theoretical model are tightly integrated for quantitative modeling of a physical system. The DCM methodology has been developed by Dr Y. Sam Yang Et Al at CSIRO since 2007 in relation to 3D characterization of material compositional microstructures and microstructure-based properties ,[1] and has been implemented as a DCM software [2] .[3] In contrast to the conventional image segmentation technique to derive microstructures from X-ray CT (computed tomography) images, DCM does not impose a length-scale cut-off at the image pixel size scale. Using DCM, consistent 3D compositional microstructures are obtained with different X-ray CT imaging resolution .[4] The fine length-scale information below image pixel size is preserved as compositional partial volumes in voxels [5] [6] [7] .[8]

DCM has been successfully used in 3D microstructure characterization of aerospace paint primers [9] [10] [11] [12] [13] [14] ,[15] conventional and unconventional hydrocarbon reservoir rocks [16] [17] [18] [19] [20] [21] [22] ,[23] coal [24] [25] [26] [27] ,[28] and other materials [29] .[30]

A number of DCM characterized material compositional microstructure data sets are available online [31] [32] [33] .[34] Such data sets make it possible for quantitative modeling of microstructure-based material properties, such as fluid transport [35] [36] [37] [38] [39] .[40]

For accurate characterization of microstructures, DCM would require multi-energy and quantitative X-ray CT. Care should be taken to minimize the factors which could influence the quantitative nature of the X-ray imaging .[41]

Additional functionalities can be added to the DCM software using various plug-ins [42] .[43]

References

  1. Y. S. Yang, A. Tulloh, I. Cole, S. Furman and A. Hughes, A data-constrained computational model for morphology structures. J. Aust. Ceram. Soc. 43 (2007) 159-164
  2. Sam Yang, Andrew Tulloh, Clement Chu, Fiona Chen, John Taylor, DCM - A Software Platform for Advanced 3D Materials Modelling, Characterisation and Visualization. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:9448
  3. Sam Yang, Clement Chu, Ben Clennell, A CIPS sandstone X-ray CT data set for DCM tutorial training. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:12663
  4. Haipeng Wang, Yushuang Yang, Jianli Yang, Yihang Nie, Jing Jia, and Yudan Wang, Evaluation of Multiple-Scale 3D Characterization for Coal Physical Structure with DCM Method and Synchrotron X-Ray CT. The Scientific World Journal 2015 (2015) Article ID 414262. DOI: http://dx.doi.org/10.1155/2015/414262
  5. Y.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
  6. Sam Yang, John Taylor, Steve Wilkins, Integrate model and data to visualize microstructures of materials non-destructively, Conference on Computational Physics – CCP2012 (2012) (14–18 October 2012, Kobe, Japan)
  7. Y 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
  8. Sam Yang and John Taylor, SPIE Newsroom (29 Sept 2010), doi: 10.1117/2.1201009.003099, URL: http://spie.org/x42055.xml Model and data work together to reveal microscopic structures of materials
  9. Sam Yang, Dachao Gao, Tim Muster, Andrew Tulloh, Scott Furman, Sherry Mayo, Adrian Trinchi, Microstructure of a paint primer - a data-constrained modeling analysis. Materials Science Forum 654-656 (2010) 1686-1689
  10. A.E. Hughes, S. Mayo, Y. S. Yang, T. Markley, S. V. Smith, S. Sellaiyan, A. Uedono, S.G. Hardin and T.H. Muster, Using X-ray Tomography, PALS and Raman Spectroscopy to Characterization Inhibitors in Epoxy Coatings. Prog. Org. Coat. (2012) 74 pp726-733. doi: 10.1016/j.porgcoat.2011.06.023
  11. Sheridan C. Mayo, Andrew M. Tulloh, Adrian Trinchi, and Sam Y.S. Yang, Data-Constrained Microstructure Characterization with Multispectrum X-Ray Micro-CT. Microscopy & Microanalysis (2012) 18 pp 524–530. doi:10.1017/S1431927612000323
  12. A. E. Hughes, A. Trinchi, F. F. Chen, Y. S. Yang, I.S. Cole, S. Sellaiyan, J. Carr, P. D. Lee, G.E. Thompson, T. Q. Xiao, Revelation of intertwining organic and inorganic fractal structures in polymer coatings. Advanced Materials 26 (9 July 2014) pp4504-4508. DOI: 10.1002/adma.201400561
  13. A. E. Hughes, A. Trinchi, F. F. Chen, Y. S. Yang, I.S. Cole, S. Sellaiyan, J. Carr, P. D. Lee, G.E. Thompson, T. Q. Xiao, The application of multiscale quasi 4D CT to the study of SrCrO4distributions and the development of porous networks inepoxy-based primer coatings. Progress in Organic Coatings (2014) 77 1946-1956. DOI: http://dx.doi.org/10.1016/j.porgcoat.2014.07.001
  14. Sam Yang, Scott Furman and Andrew Tulloh, A data-constrained 3D model for material compositional microstructures. In Advanced Materials Research Vol 32: Frontiers in Materials Science & Technology, Eds John Bell, Cheng Yan, Lin Ye and Liangchi Zhang (Trans tech Publications, 2008) 267 - 270
  15. Y. S. Yang, H. P. Wang, J. R. Gao, A data-constrained modelling approach to materials microstructure characterization. Journal of Shanxi University (2012) Vol 35 No. 2 pp 248-254
  16. Y. S. Yang, T. E. Gureyev, A. Tulloh, M. B. Clennell, M. Pervukhina, Feasibility of a data-constrained prediction of hydrocarbon reservoir sandstone microstructures. Measurement Science & Technology 21 (April, 2010) 047001 (6pp), doi:10.1088/0957-0233/21/4/047001
  17. Y.D. Wang, Y.S. Yang, T.Q. Xiao, K.Y. Liu, B. Clennell, G.Q. Zhang, H.P. Wang, Synchrotron-Based Data-Constrained Modeling Analysis of Microscopic Mineral Distributions in Limestone. International Journal of Geosciences 4 (2013) pp344-351. DOI: 10.4236/ijg.2013.42032
  18. 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
  19. 王玉丹, 杨玉双, 刘可禹, 任玉琦, 谭海, 肖体乔, 非常规油气储集孔隙多尺度连通性的定量显微CT研究 (Quantitative investigations for multi-scale pore connection of unconventional oil and gas reservoirs with X-ray micro-CT). 矿物岩石地球化学通报 (Bulletin of Mineralogy, Petrology and Geochemistry) (2014)
  20. Sam Yang, Yudan Wang, Sherry Mayo, Andrew Tulloh, Keyu Liu, Ben Clennell, Marina Pervukhina, Rukai Zhu, Ruru Li, John A. Taylor, Sally Irvine, Anton Maksimenko, 3D microstructure characterization of tight reservoir rocks and effective recoverable reserve estimation, 2014 APPEA Conference & Exhibition (Perth Convention Centre, Perth, Western Australia, 6–9 April 2014) http://appea14.mdpublic.com/application/paper.php?id=168&show=true
  21. Huihua Kong, Ruru Li, Sam Y. S. Yang, Sherry Mayo, Xiaotian Qu, Rukai Zhu, Bin Bai, Jinxiao Pan and Haipeng Wang. Microstructure characterization of a sandstone sample with multi-energy X-ray micro-CT. 第十三届中国体视学与图像分析学术会议论文集 (Proceedings of the 13th China Conference on Stereology and Image Analysis). Eds: 刘国权,王忠,(24 Sept 2013,Taiyuan, Shanxi, China) pp410-416
  22. Sam Yang, Fiona Chen, Sherry Mayo, Marina Pervukhina, Ben Clennell, Keyu Liu, John Taylor, DCM characterization of rock microstructures & pore throat. International Symposium on Theoretical Advancement & Technology Innovation for Emerging Energy Resources: Deep and Unconventional Hydrocarbon System TATIEER-2013 (2013) (12–14 April 2013, Beijing, China)
  23. Yudan Wang, Sam Yang, Keyu Liu, Yuqi Ren, Hai Tan, Yiming Yang, Tiqiao Xiao, Multi-scale pore structure characterization for a shale by data-constrained modelling and multi-energy X-ray CT. International Symposium on Theoretical Advancement & Technology Innovation for Emerging Energy Resources: Deep and Unconventional Hydrocarbon System TATIEER-2013 (2013) (12–14 April 2013, Beijing, China)
  24. H. P. Wang, Y. S. Yang, Y. D. Wang, J. L. Yang, J. Jia, Y. H. Nie, Data-constrained modelling of coal physical structure with multi-spectrum synchrotron X-ray CT. Fuel (2013) 106 pp219-225. http://dx.doi.org/10.1016/j.fuel.2012.11.079
  25. Wen Hao Chen, Sam YS Yang, Ti Qiao Xiao, Sherry C Mayo, Yu Dan Wang, Hai Peng Wang, A synchrotron-based local computed tomography combined with data-constrained modelling approach for quantitative analysis of anthracite coal microstructure. J. Synchrotron Radiation (2014) 21 pp586-593. doi:10.1107/S0909049514002799. http://journals.iucr.org/s/issues/2014/03/00/hf5249/hf5249.pdf
  26. 王海鹏 (Haipeng Wang),杨玉双 (Yushuang Yang),杨建丽 (Jianli Yang),聂一行 (Yihan Nie),贾晶 (Jin Jia) Patent: 煤炭样品组份分布及物理结构可视化的定量CT表征方法 (Quantitative CT visualization for coal sample compositional distributions and physical structures), 专利号: ZL 2012 1 0505069.0
  27. 王海鹏 (Haipeng Wang), 杨玉双(Yushuang Yang), 蒋兴家 (Xingjia Jiang), 杨建丽Yang (Jianli), 聂一行(Yihag Nie), 基于DCM模型与同步辐射CT的煤直接液化残渣物理结构表征(Physical structure characterization of direct coal liquefaction residue by DCM model and synchrotron X-ray CT). Journal of Shanxi University (2014) Vol 37 No. 2 pp 545-552. DOI: 10.13451/j.cnki.shanxi.univ(nat.sci.).2014.04.013. URL: http://www.cnki.net/KCMS/detail/detail.aspx?filename=SXDR201404014&dbname=cjfqtotal&dbcode=CJFQ&v=MDY5MDBOalhQZkxHNEg5WE1xNDlFWUlSNkRnOC96aFlVN3pzT1QzaVFyUmN6RnJDVVJMK2ZaZVpuRnl6bVZMM0I=
  28. 王海鹏,杨玉双,杨建丽,王玉丹,贾晶,聂一行, Visual characterization of an anthracite coal physical structure with multi-spectrum synchrotron X-ray CT and DCM model. International Symposium on Theoretical Advancement & Technology Innovation for Emerging Energy Resources: Deep and Unconventional Hydrocarbon System TATIEER-2013 (2013) (12–14 April 2013, Beijing, China)
  29. A Trinchi, Y S Yang, J Z Huang, P Falcaro, D Buso and L Q Cao, Study of 3D Composition in a nanoscale sample using Data Constrained Modelling and Multi-Energy X-ray CT. Modelling Simul. Mater. Sci. Eng. 20 (2012) 015013. doi:10.1088/0965-0393/20/1/015013
  30. Y. D. Wang, Y. S. Yang, I. Cole, A. Trinchi, T. Q. Xiao, Investigation of the Microstructure of an Aqueously Corroded Zinc Wire by Data-Constrained Modelling with Multi-Energy X-ray CT. Materials & Corrosion 64 (2013) pp180-184. DOI: 10.1002/maco.201106341
  31. Sam Yang, Keyu Liu, Sherry Mayo, Andrew Tulloh, CIPS sandstone microstructure, CSIRO Data Collection (2012) http://dx.doi.org/10.4225/08/5045B5990B44E
  32. Yudan Wang, Sam Y. S. Yang, Keyu Liu, d, Yuqi Ren, Hai Tan, Tiqiao Xiao, Sichuan Basin Xujiahe Formation Shale Rock 3D Microstructures, CSIRO Data Collection (2013) http://dx.doi.org/10.4225/08/525B5125AED79
  33. Ruru Li , Huihua Kong, Sam Yang , Sherry Mayo, Rukai Zhu, Bin Bai, Jinxiao Pan and Haipeng Wang, Erdors Basin Yanchang Formation Tight Sandstone 3D Microstructures, CSIRO Data Access Portal (2014) http://dx.doi.org/10.4225/08/532BB4A949D8C
  34. Sam Yang, Sherry Mayo, Marina Pervukhina, Ben Clennell, Lionel Esteban, Sally Irvine, Karen Siu, Anton Maksimenko, Andrew Tulloh, Carbonate rock X-ray CT and DCM microstructure data. CSIRO Data Access Portal. PID: http://dx.doi.org/10.4225/08/5476787E08766. DOI: 10.4225/08/5476787E08766
  35. F. F. Chen, Y.S. Yang, Microstructure-based characterisation of permeability using a random walk model. Modelling Simul. Mater. Sci. Eng. 20 (2012) 045005 doi:10.1088/0965-0393/20/4/045005
  36. Ruru 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
  37. Ruru Li, Sam Yang, Jinxiao Pan, Gerald Pereira, Clement Chu, John Taylor, Caineng Zou, Mian Lin, Numerical model for flow in rocks composed of materials of different permeability. CFD 2014 - 10th International Conference on Computational Fluid Dynamics In the Oil & Gas, Metallurgical and Process Industries(June 17–19, Trondheim, Norway)
  38. Sam Yang, Fiona Chen, Andrew Tulloh, Sherry Mayo, Adrian Trinchi, Clement Chu, Steve Wilkins, John Taylor, Ben Clennell, Keyu Liu, Microstructure-based materials performance modeling and characterization. 11th International Conference on X-ray Microscopy (2012) (5–10 August 2012, Shanghai, China. Poster)
  39. Ruru Li, Sam Yang, Investigation of the microstructure of a sandstone sample with multi-energy x-ray CT. International Symposium on Theoretical Advancement & Technology Innovation for Emerging Energy Resources: Deep and Unconventional Hydrocarbon System TATIEER-2013 (2013) (12–14 April 2013, Beijing, China)
  40. F F Chen, Y S Yang, M. Pervukhina, B. M. Clennell, J. A. Taylor, Clustering Analysis for Porous Media: an Application to a dolomite limestone. Modelling Simul. Mater. Sci. Eng. (2014)
  41. Y.D. Wang, A. Stevenson, Y.S. Yang, A. Trinchi, S. Wilkins, T.Q. Xiao, A quantitative study of monochromatic x-ray transmission through zinc wires. Journal Of Synchrotron Radiation (2012) 19 pp827-830. doi:10.1107/S0909049512027756
  42. Ruru Li, Clement Chu, Sam Yang, Gerald Pereira, DCM plugin for partially percolating LBM single phase flow. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:9569. DOI: 10.4225/08/53F6E72A0D35E
  43. Sam Yang, Andrew Tulloh, Ben Clennell, A DCM plug-in for microstructure-based computation of material sample electric conductivity and permittivity. CSIRO Data Access Portal. PID: https://data.csiro.au/dap/landingpage?pid=csiro:12680