scholarly journals Pore-space characterization of an altered tonalite by X-ray computed microtomography and the14C-labeled-polymethylmethacrylate method

2012 ◽  
Vol 117 (B1) ◽  
pp. n/a-n/a ◽  
Author(s):  
M. Voutilainen ◽  
M. Siitari-Kauppi ◽  
P. Sardini ◽  
A. Lindberg ◽  
J. Timonen
Keyword(s):  
Pore Space ◽  
X Ray ◽  
Computed Microtomography ◽  
X Ray Computed ◽  
Space Characterization

Micro-X-ray Computed Tomography (μXRCT) Pore Space Characterization of Carbonate Samples

2017 ◽  
Author(s):  
Megan M. Smith ◽  
Susan A. Carroll ◽  
Amber Connor
Keyword(s):  
Computed Tomography ◽  
Pore Space ◽  
X Ray ◽  
X Ray Computed ◽  
Space Characterization

Acoustic emission and X-ray computed microtomography characterization of damage accumulation in a woven Cf/SiC composite

2019 ◽  
Vol 155 ◽  
pp. 109748
Author(s):  
Yudong Xue ◽  
Qinglei Wang ◽  
Jianbao Hu ◽  
Haijun Zhou ◽  
Qingliang Shan ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Damage Accumulation ◽  
X Ray ◽  
Computed Microtomography ◽  
X Ray Computed

Microstructure characterization of mullite foam by image analysis, mercury porosimetry and X-ray computed microtomography

2018 ◽  
Vol 44 (11) ◽  
pp. 12315-12328 ◽  
Author(s):  
Eva Gregorová ◽  
Tereza Uhlířová ◽  
Willi Pabst ◽  
Petra Diblíková ◽  
Ivona Sedlářová
Keyword(s):  
Image Analysis ◽  
Mercury Porosimetry ◽  
Microstructure Characterization ◽  
X Ray ◽  
Computed Microtomography ◽  
X Ray Computed

scholarly journals CHARACTERIZATION OF FRACTURE CHANGES UNDER HIGH PCO2: X-RAY COMPUTED MICROTOMOGRAPHY (XCMT) AND SEM IMAGES

2017 ◽  
Author(s):  
Jordi Cama ◽  
◽  
Gabriela Davila ◽  
Maria Garcia-Rios ◽  
Josep M. Soler
Keyword(s):  
High Pco2 ◽  
Sem Images ◽  
X Ray ◽  
Computed Microtomography ◽  
X Ray Computed

scholarly journals Petrophysical characterization of coquinas from Morro do Chaves Formation (Sergipe-Alagoas Basin) by x-ray computed tomography

2018 ◽  
Vol 18 (3) ◽  
pp. 3-13
Author(s):  
Aline Maria Poças Belila ◽  
Michelle Chaves Kuroda ◽  
João Paulo Da Ponte Souza ◽  
Alexandre Campane Vidal ◽  
Osvair Vidal Trevisan
Keyword(s):  
Computed Tomography ◽  
Pore Space ◽  
Three Dimensional ◽  
Petroleum Reservoirs ◽  
Self Organizing Maps ◽  
X Ray ◽  
The Neural Network ◽  
Rock Structure ◽  
X Ray Computed

Carbonate rocks constitute a large number of petroleum reservoirs worldwide. Notwithstanding, the characterization of these rocks is still a challenge due to their high complexity and pore space variability, indicating the importance of further studies to reduce uncertainty in reservoir interpretation and characterization. This work was performed for coquina samples from Morro do Chaves Formation (Sergipe-Alagoas Basin), analogous to important Brazilian reservoirs. Computed tomography (CT) was used for three-dimensional characterization of rock structure. The neural network named Self-Organizing Maps (SOM) was used for CT images segmentation. According to our tests, CT demonstrated to be a consistent tool for quantitative and qualitative analysis of heterogeneous pore space, by the evaluation of porosity, connectivity and the representative elementary volume.

Physical Rock Matrix Characterization: Structural and Mineralogical Heterogeneities in Granite

2008 ◽  
Vol 1124 ◽  
Author(s):  
Mikko Voutilainen ◽  
Suvi Lamminmäki ◽  
Jussi Timonen ◽  
Marja Siitari-kauppi ◽  
Daniel Breitner
Keyword(s):  
Pore Space ◽  
3D Structure ◽  
Rock Matrix ◽  
X Ray ◽  
Small Pore ◽  
Waste Repositories ◽  
Granite Samples ◽  
Space Characterization ◽  
Physical Rock

AbstractEvaluation of the transport and retardation properties of rock matrices that serve as host rock for nuclear waste repositories necessitates their thorough pore-space characterization. Relevant properties to be quantified include the diffusion depth and volume adjacent to water conducting features. The bulk values of these quantities are not sufficient due to the heterogeneity of mineral structure on the scale of the expected transport/interaction distances. In this work the 3D pore structure of altered granite samples with porosities of 5 to 15%, taken next to water conducting fractures at 180 200 m depth in Sievi, Finland, was studied. Characterization of diffusion pathways and porosity were based on quantitative autoradiography of rock sections impregnated with C14-labelled polymethylmethacrylate (PMMA). Construction of 3D structure from PMMA autoradiographs was tested. The PMMA method was augmented by field emission scanning electron microscopy and energy-dispersive X-ray analyses (FESEM/EDAX) in order to study small pore-aperture regions in more detail and to identify the corresponding minerals. The 3D distribution of minerals and their abundances were determined by X-ray microtomography. Combining the mineral specific porosity found by the PMMA method with these distributions provided us with a 3D porosity distribution in the rock matrix.

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