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Sichuan Basin Xujiahe Formation Shale Rock 3D Microstructures

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About this Collection

Sichuan Basin Xujiahe Formation Shale Rock 3D Microstructures


The data is related to a sample from a Triassic shale oil reservoir, the fifth member of the Xujiahe Formation from the Sichuan Basin in southern China. The data set include the following: X-ray projection images, plus flate-field and dark-field images Reconstructed CT slices DCM characterized and threshold segmentated composition and porosity imag... more


Geophysics not elsewhere classified


https://doi.org/10.4225/08/525B5125AED79


17 Oct 2012


17 Sep 2013


CSIRO Enquiries
CSIROEnquiries@csiro.au
1300 363 400

3D microstructure porosity shale rock reservoir resources


Data acquired at Shanghai Synchrotron Radiation Facility (SSRF) BL13W beamline by Yudan Wang of SSRF. Sensor was PCO-2000 CCD optically coupled to a scintillator with an Optique Peter camera, with an effective pixel size of 0.74 microns. Tomographic datasets were acquired at 20keV and 30keV. 1080 views were acquired for each dataset over a 180 degree rotation with 3s exposure per view. Flat-field images were obtained with X-ray beam turned on with the sample not in the FOV for every ten degrees during the sample scanning. The dark-field images were acquired after the sample scan with the X-ray beam turned off. Sample to detector distance was 23cm to enhance phase-contrast to improve signal to noise ratio. Data were processed and reconstructed using the X-TRACT software. Data was pre-processed with background correction, and phase-retrieval was used to eliminate the phase-contrast effect on reconstructed linear absorption coefficients. Parallel beam reconstruction was carried out using a filtered-back-projection algorithm. The Trim-CT slices have been analysed using the DCM software. The CT slices are analysed using the DCM linear optimisation module. The input density of quartz and calcite are 2.65g/cm3 and 2.71g/cm3, respectively. By averaging over the 600 slices, the calculated void volume fraction (porosity) is 6.4%, the volume fraction for the calcite phase is 76.9%, and for the quartz phase it is 16.7%. The Trim-CT slices of 30keV have been analysed using conventional segmentation method. For purpose of comparison with the DCM method, a threshold value is selected so that it is producing a similar overall porosity as from DCM. By averaging over the 600 slices, the calculated void volume fraction (porosity) is 6.3%.


Yudan Wang [a], Sam Y. S. Yang [b*], Keyu Liu [c, d], Yuqi Ren [a], Hai Tan [a], Tiqiao Xiao [a*] [a]: Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China [b]: CSIRO Materials Science & Engineering, Private Bag 33, Clayton, Vic 3169, Australia [c]: CSIRO Earth Science & Resource Engineering, P.O. Box 1130, Bentley, WA 6102, Australia [d]: RIPED, PetroChina, 20 Xueyuan Rd, Beijing 100083, China


Creative Commons Attribution 3.0 Unported Licence


CSIRO (Australia), Shanghai Synchrotron Radiation Facility (Australia)


Wang, Yudan; Yang, Sam; Liu, Keyu; Ren, Yuqi; Tan, Hai; Xiao, Tiqiao (2013): Sichuan Basin Xujiahe Formation Shale Rock 3D Microstructures. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/525B5125AED79


All Rights (including copyright) CSIRO Australia, Shanghai Synchrotron Radiation Facility 2013.


The metadata and files (if any) are available to the public.

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Location Details

34°0′0″ N


26°0′0″ N


110°0′0″ E


98°0′0″ E


WGS84


About this Project

Data Constrained Materials C2011/6428


The objective of the project is to develop a data-constrained modelling methodology and software implementation to advance CSIRO's capability in quantitative 3D characterisation of materials microstructures and their bulk properties. Benchmark case studies are conducted in collaboration with CSIRO impact Flagships and Themes to elevate the impact C... more


Sam Yang


Data-constrained modelling (DCM)


Data-constrained characterisation of materials microstructures and performance properties by incorporating quantitative multi-energy X-ray CT in a generic statistical mechanical modelling framework.


CaseStudy


Yudan Wang


Sam Yang


Keyu Liu


Yuqi Ren


Hai Tan


Tiqiao Xiao


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