BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING
Rock brittleness is a key parameter to quantify and evaluate the brittle nature of rock. A better estimating technique of rock brittleness is crucial for acquiring an efficient stimulation of unconventional shale gas reservoir such as hydraulic fracturing. One way to predict rock brittleness inde...
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id-itb.:631242022-01-25T18:39:25ZBRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING Hamid Lubis, Farhan Indonesia Theses digital rock images, finite element method, effective ellastic moduli, brittleness index. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/63124 Rock brittleness is a key parameter to quantify and evaluate the brittle nature of rock. A better estimating technique of rock brittleness is crucial for acquiring an efficient stimulation of unconventional shale gas reservoir such as hydraulic fracturing. One way to predict rock brittleness index is by using rock elastic moduli. These physical properties highly depend on complexity of the microstructure, fluid content and mineral composition. The other way is by measuring the rock mineral composition itself. The complexity of the rock’s microstructure can be accurately characterized by using imaging technique such as micro-CT scans. This study used the finite element method to estimate rock brittleness index based on elastic properties on synthetic and digital rock images. We then evaluate the effect of physical and geometrical properties (pore aspect ratio, mineral composition, and water saturation) in determining the rock brittleness characteristic. The results indicate that there is an increase in Young’s modulus along with an increasing in pore aspect ratio to 1, which in turn raises the rock brittleness. Fluid saturation, in this case, water saturation, causes brittleness to be decreased. The rock mineral composition, such as abundant quartz and carbonate content, yields high brittleness values, while high clay content and porosity lower the rock brittleness. Overall, the results imply that pore geometry, fluid saturation, and mineral composition significantly alter the rock strength parameters. text |
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Rock brittleness is a key parameter to quantify and evaluate the brittle nature of
rock. A better estimating technique of rock brittleness is crucial for acquiring an
efficient stimulation of unconventional shale gas reservoir such as hydraulic
fracturing. One way to predict rock brittleness index is by using rock elastic moduli.
These physical properties highly depend on complexity of the microstructure, fluid
content and mineral composition. The other way is by measuring the rock mineral
composition itself. The complexity of the rock’s microstructure can be accurately
characterized by using imaging technique such as micro-CT scans. This study used
the finite element method to estimate rock brittleness index based on elastic
properties on synthetic and digital rock images. We then evaluate the effect of
physical and geometrical properties (pore aspect ratio, mineral composition, and
water saturation) in determining the rock brittleness characteristic. The results
indicate that there is an increase in Young’s modulus along with an increasing in
pore aspect ratio to 1, which in turn raises the rock brittleness. Fluid saturation, in
this case, water saturation, causes brittleness to be decreased. The rock mineral
composition, such as abundant quartz and carbonate content, yields high
brittleness values, while high clay content and porosity lower the rock brittleness.
Overall, the results imply that pore geometry, fluid saturation, and mineral
composition significantly alter the rock strength parameters. |
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Theses |
author |
Hamid Lubis, Farhan |
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Hamid Lubis, Farhan BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
author_facet |
Hamid Lubis, Farhan |
author_sort |
Hamid Lubis, Farhan |
title |
BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
title_short |
BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
title_full |
BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
title_fullStr |
BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
title_full_unstemmed |
BRITTLENESS INDEX ESTIMATION OF DIGITAL ROCK IMAGES BASED ON NUMERICAL MODELING |
title_sort |
brittleness index estimation of digital rock images based on numerical modeling |
url |
https://digilib.itb.ac.id/gdl/view/63124 |
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