Subresolution Porosity Estimation of Porous Rocks from CT Images: Incorporating X-Ray Mass Attenuation Coefficients

Rock porosity is a key parameter for quantifying fluid flow properties and predicting mechanical behaviour. Although X-ray CT imaging has been widely used to estimate porosity, the accuracy of such methods is still hindered by beam energy and mineralogical heterogeneity. In this study, a methodology for the estimation of subresolution porosity is proposed, taking into account the relative relationship of X-ray mass attenuation coefficients (MACs) among minerals. The approach segments macroparticles, matrix, and macropores and calibrates their relative X-ray MAC relationships to establish the upper and lower bounds of the matrix LAC. Subresolution porosity is then estimated based on these calibrated limits. Taking Belgian Fieldstone and Bentheimer Sandstone as examples, the method described in this paper has stronger connectivity than does the binarised porosity estimation method and higher estimation accuracy than does the subresolution porosity calculation method, which does not consider the MAC. The proposed method is intended to refine the rationality of the subresolution porosity calculation and to broaden its theoretical scope of application.

Authors

Institutions

Publication Details

Journal
Minerals
Published
2025-09-12
DOI
https://doi.org/10.3390/min15090966
Citations
1
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Subresolution Porosity Estimation of Porous Rocks from CT Images: Incorporating X-Ray Mass Attenuation Coefficients

Qiong Zhang, Zhenyu Long, Jianhuang Chen, Zhongjian Zhang et al.
1 citations
Minerals
Hydrocarbon exploration and reservoir analysis
0.86
article

Subresolution Porosity Estimation of Porous Rocks from CT Images: Incorporating X-Ray Mass Attenuation Coefficients

Qiong Zhang, Zhenyu Long, Jianhuang Chen, Zhongjian Zhang, Zhongqi Yue
article en
1 citations

Abstract

Rock porosity is a key parameter for quantifying fluid flow properties and predicting mechanical behaviour. Although X-ray CT imaging has been widely used to estimate porosity, the accuracy of such methods is still hindered by beam energy and mineralogical heterogeneity. In this study, a methodology for the estimation of subresolution porosity is proposed, taking into account the relative relationship of X-ray mass attenuation coefficients (MACs) among minerals. The approach segments macroparticles, matrix, and macropores and calibrates their relative X-ray MAC relationships to establish the upper and lower bounds of the matrix LAC. Subresolution porosity is then estimated based on these calibrated limits. Taking Belgian Fieldstone and Bentheimer Sandstone as examples, the method described in this paper has stronger connectivity than does the binarised porosity estimation method and higher estimation accuracy than does the subresolution porosity calculation method, which does not consider the MAC. The proposed method is intended to refine the rationality of the subresolution porosity calculation and to broaden its theoretical scope of application.

MineralsVol. 15(9)
Harbin Institute of Technology (CN), China University of Geosciences (Beijing) (CN)
Openalex Percentile: Top 24%
Hydrocarbon exploration and reservoir analysis
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.