SIMULATION STUDY OF PORE SCALE MULTIPHASE IMBIBITION FLOW IN BEREA SANDSTONE USING COLOR GRADIENT LATTICE BOLTZMANN METHOD
This study demonstrate a multiphase flow simulation under imbibition process <br /> <br /> (water displacing oil) in three dimensions using Color Gradient Lattice Boltzmann <br /> <br /> Method (CG-LBM). Flow domain used in the simulation is pore structure image of <br /&g...
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Main Author: | |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/26107 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | This study demonstrate a multiphase flow simulation under imbibition process <br />
<br />
(water displacing oil) in three dimensions using Color Gradient Lattice Boltzmann <br />
<br />
Method (CG-LBM). Flow domain used in the simulation is pore structure image of <br />
<br />
Berea sandstone core plug obtained from Micro-CT scan with 7 micron per voxel <br />
<br />
resolution. Input parameters used for simulation which represents fluid-fluid <br />
<br />
interaction and fluid-solid interaction are derived from laboratory measurements. <br />
<br />
Recovery factor to pore volume of water injected profile from simulation prediction <br />
<br />
result will be compared against coreflood test result to evaluate the accuracy of <br />
<br />
CG-LBM as prediction tool for coreflood experiment. In order to reduce <br />
<br />
computational cost, flow simulation will be done only in representative volume <br />
<br />
element (RVE) from whole scale of core plug pore images. Determination of the <br />
<br />
representative volume element size is done based on fluid saturation distribution <br />
<br />
interpreted from Micro-CT scan and sensitivity analysis of the effect of sample size <br />
<br />
used in the simulation. <br />
<br />
After the validation process is carried out, imbibition process simulation is done <br />
<br />
under various values of capillary number and mobility ratio to study the <br />
<br />
displacement pattern occurred. The result of this study is expected to deliver an <br />
<br />
alternative method to predict microscopic displacement efficiency in sandstone. |
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