dc.contributor.author |
Varnasuthan, S |
|
dc.contributor.author |
Fernando, WTM |
|
dc.contributor.author |
Dahanayaka, DS |
|
dc.contributor.author |
Dassanayake, ABN |
|
dc.contributor.author |
Wickrama, MADMG |
|
dc.contributor.author |
Illankoon, IMTN |
|
dc.date.accessioned |
2023-12-18T05:41:23Z |
|
dc.date.available |
2023-12-18T05:41:23Z |
|
dc.date.issued |
2023-08-28 |
|
dc.identifier.citation |
Varnasuthan, S., Fernando, W.T.M., Dahanayaka, D.S., Dassanayake, A.B.N., Wickrama, M.A.D.M.G., & Illankoon, I.M.T.N. (2023). Image analysis approach to determine the porosity of rocks. In C.L. Jayawardena (Ed.), International Symposium on Earth Resources Management & Environment – ISERME 2023: Proceedings of the 7th international Symposium on Earth Resources Management & Environment (pp.34-41). Department of Earth Resources Engineering, University of Moratuwa. https://doi.org/10.31705/ISERME.2023.7 |
|
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/21951 |
|
dc.description.abstract |
Accurate characterisation of rock porosity is essential for assessing its strength and durability. This study explores both conventional and image analysis methods for determining rock porosity of two types of rocks, Bibai sandstone, a hard clastic rock and limestone, a soft rock. Conventional methods for determining rock porosity involve physical measurements and laboratory analysis, while image analysis methods utilize advanced imaging techniques such as CT scans or SEM to assess porosity based on visual information extracted from rock images. While various image analysis approaches exist to determine rock porosity, questions arise as to which approach is applicable and whether the results are comparable to current conventional methods. Hence, this study focuses on comparing the accuracy of alternative image analysis approaches. Representative rock chips from each core sample were examined using SEM, and 2D porosity was evaluated through image processing with ImageJ software. The Avizo visualisation software was employed to assess Bibai sandstone samples' porosity from CT images. The research offers insights into the pros and cons of each approach, contributing to the enhancement of accuracy and efficiency in rock porosity evaluation, particularly in geology, mining, and civil engineering applications |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Department of Earth Resources Engineering |
en_US |
dc.subject |
Avizo |
en_US |
dc.subject |
CT-mage |
en_US |
dc.subject |
Limestone |
en_US |
dc.subject |
Porosity |
en_US |
dc.subject |
Sandstone |
en_US |
dc.subject |
SEM image |
en_US |
dc.subject |
Conventional |
en_US |
dc.title |
Image analysis approach to determine the porosity of rocks |
en_US |
dc.type |
Conference-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.department |
Department of Earth Resources Engineering |
en_US |
dc.identifier.year |
2023 |
en_US |
dc.identifier.conference |
International Symposium on Earth Resources Management & Environment - ISERME 2023 |
en_US |
dc.identifier.place |
Colombo |
en_US |
dc.identifier.pgnos |
pp. 34-41 |
en_US |
dc.identifier.proceeding |
Proceedings of the 7th International Symposium on Earth Resources Management & Environment |
en_US |
dc.identifier.doi |
https://doi.org/10.31705/ISERME.2023.7 |
en_US |