Data-fusion of high resolution X-ray CT, SEM and EDS for 3D and pseudo-3D chemical and structural characterization of sandstone.

When dealing with the characterization of the structure and composition of natural stones, problems of representativeness and choice of analysis technique almost always occur. Since feature-sizes are typically spread over the nanometer to centimeter range, there is never one single technique that allows a rapid and complete characterization. Over the last few decades, high resolution X-ray CT (μ-CT) has become an invaluable tool for the 3D characterization of many materials, including natural stones. This technique has many important advantages, but there are also some limitations, including a tradeoff between resolution and sample size and a lack of chemical information. For geologists, this chemical information is of importance for the determination of minerals inside samples. We suggest a workflow for the complete chemical and structural characterization of a representative volume of a heterogeneous geological material. This workflow consists of combining information derived from CT scans at different spatial resolutions with information from scanning electron microscopy and energy-dispersive X-ray spectroscopy.

[1]  Riyadh I. Al-Raoush,et al.  Representative elementary volume analysis of porous media using X-ray computed tomography , 2010 .

[2]  O. Bunk,et al.  Ptychographic X-ray computed tomography at the nanoscale , 2010, Nature.

[3]  J. Gall,et al.  The early Middle Triassic ‘Grès à Voltzia’ Formation of eastern France: a model of environmental refugium , 2005 .

[4]  Veerle Cnudde,et al.  High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications , 2013 .

[5]  Roland Dreesen,et al.  Comparative quantitative petrographical analysis of Cenozoic aquifer sands in Flanders (N Belgium): overall trends and quality assessment , 2004 .

[6]  F. Bookstein Size and Shape Spaces for Landmark Data in Two Dimensions , 1986 .

[7]  Richard A. Ketcham,et al.  Electronic article. Getting the inside story: using computed X-ray tomography to study inclusion trails in garnet porphyroblasts , 2005 .

[8]  V. Cnudde,et al.  4D imaging and quantification of pore structure modifications inside natural building stones by means of high resolution X-ray CT. , 2012, The Science of the total environment.

[9]  R. Ketcham,et al.  Acquisition, optimization and interpretation of X-ray computed tomographic imagery: applications to the geosciences , 2001 .

[10]  Johann Kastner,et al.  A comparative study of high resolution cone beam X-ray tomography and synchrotron tomography applied to Fe- and Al-alloys , 2010, NDT & E international : independent nondestructive testing and evaluation.

[11]  Veerle Cnudde,et al.  Neutron radiography and X-ray computed tomography for quantifying weathering and water uptake processes inside porous limestone used as building material , 2014 .

[12]  Pierre Bésuelle,et al.  Experimental characterisation of the localisation phenomenon inside a Vosges sandstone in a triaxial cell , 2000 .

[13]  D. Wildenschild,et al.  X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems , 2013 .

[14]  Veerle Cnudde,et al.  Characterizing saline uptake and salt distributions in porous limestone with neutron radiography and X-ray micro-tomography , 2013 .

[15]  P. Antrett Characterization of an Upper Permian Tight Gas Reservoir: A Multidisciplinary, Multiscale Analysis from the Rotliegend, Northern Germany , 2011 .

[16]  Mark A. Knackstedt,et al.  Pore scale characterization of carbonates at multiple scales: integration of micro-CT, BSEM and FIBSEM , 2010 .

[17]  B Münch,et al.  Three‐dimensional analysis of porous BaTiO3 ceramics using FIB nanotomography , 2004, Journal of microscopy.

[18]  F. J. Santarelli,et al.  Shale testing and capillary phenomena , 1994 .

[19]  P. Selden,et al.  Millipedes from the Grès à Voltzia, Triassic of France, with comments on Mesozoic millipedes (Diplopoda: Helminthomorpha: Eugnatha) , 2009 .

[20]  C. Appoloni,et al.  Effective atomic number and density determination of rocks by X-ray microtomography. , 2015, Micron.

[21]  O. Bunk,et al.  X-ray ptychographic computed tomography at 16 nm isotropic 3D resolution , 2014, Scientific Reports.

[22]  Chun Liu,et al.  The characterization and quantitative analysis of nanopores in unconventional gas reservoirs utilizing FESEM–FIB and image processing: An example from the lower Silurian Longmaxi Shale, upper Yangtze region, China , 2014 .

[23]  Veerle Cnudde,et al.  Three-Dimensional Analysis of High-Resolution X-Ray Computed Tomography Data with Morpho+ , 2011, Microscopy and Microanalysis.

[24]  S. Reed Electron Microprobe Analysis and Scanning Electron Microscopy in Geology , 1996 .

[25]  V. Cnudde,et al.  Software tools for quantification of X-ray microtomography at the UGCT , 2007 .

[26]  Veerle Cnudde,et al.  Three-dimensional phase separation and identification in granite , 2011 .

[27]  Veerle Cnudde,et al.  HECTOR: A 240kV micro-CT setup optimized for research , 2013 .

[28]  Roger Wepf,et al.  On the application of focused ion beam nanotomography in characterizing the 3D pore space geometry of Opalinus clay , 2011 .

[29]  J. Murton,et al.  Frost weathering: recent advances and future directions , 2008 .

[30]  R. L. Schwede,et al.  Tomographic Methods in Hydrogeology , 2014 .