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Title: Extraction of pore-morphology and capillary pressure curves of porous media from synchrotron-based tomography data

The elevated level of atmospheric carbon dioxide (CO 2) has caused serious concern of the progression of global warming. Geological sequestration is considered as one of the most promising techniques for mitigating the damaging effect of global climate change. Investigations over wide range of length-scales are important for systematic evaluation of the underground formations from prospective CO 2 reservoir. Understanding the relationship between the micro morphology and the observed macro phenomena is even more crucial. Here we show Synchrotron based X-ray micro tomographic study of the morphological buildup of Sandstones. We present a numerical method to extract the pore sizes distribution of the porous structure directly, without approximation or complex calculation. We have also demonstrated its capability in predicting the capillary pressure curve in a mercury intrusion porosimetry (MIP) measurement. The method presented in this work can be directly applied to the morphological studies of heterogeneous systems in various research fields, ranging from Carbon Capture and Storage, and Enhanced Oil Recovery to environmental remediation in the vadose zone.
 [1] ;  [2] ;  [3] ;  [4] ;  [5] ;  [2] ;  [4]
  1. Univ. of Science and Technology of China, Hefei (China)
  2. Stanford Univ., Stanford, CA (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. SLAC National Accelerator Laboratory, Menlo Park, CA (United States)
  5. Univ. of Science and Technology of China, Hefei (China); Institute of High Energy Physics, Beijing (China). Beijing Synchrotron Radiation Facility.
Publication Date:
Grant/Contract Number:
AC02-06CH11357; AC02-76SF0051
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 5; Journal ID: ISSN 2045-2322
Nature Publishing Group
Research Org:
Argonne National Lab. (ANL), Argonne, IL (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Country of Publication:
United States
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES; applied mathematics; environmental sciences; 2-phase flow; distributions; sandstones; images; Lattice-Boltzmann; models; reconstruction
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1241255; OSTI ID: 1261663