Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area
Flow characteristics and phase distribution of concentrated brine storage in mining area have been core factors linking to the leakage risk assessment and ecological evaluation. Notably, saturation plays a crucial role in impacting the flow characteristics and distribution of brine, while the existe...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Geofluids |
| Online Access: | http://dx.doi.org/10.1155/2022/4484963 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849406970725924864 |
|---|---|
| author | Xiaolong Hu Hui Huang Xidong Song Hao He Xiaolong Li Jun Gao Guanghua Zhou Shaoxue Wu Guocai Kong Xiangming Huang |
| author_facet | Xiaolong Hu Hui Huang Xidong Song Hao He Xiaolong Li Jun Gao Guanghua Zhou Shaoxue Wu Guocai Kong Xiangming Huang |
| author_sort | Xiaolong Hu |
| collection | DOAJ |
| description | Flow characteristics and phase distribution of concentrated brine storage in mining area have been core factors linking to the leakage risk assessment and ecological evaluation. Notably, saturation plays a crucial role in impacting the flow characteristics and distribution of brine, while the existence of oil left by mining machines and original reservoir and gas produced from coal bed gas and air has complicated the issue. In this work, we conducted the microfluidic visualization experiments to reveal the saturation distribution during brine storage in mining area. We applied machine learning model to extract saturation data from experimental images with over 95% accuracy. Eventually, we found that the existence of gas significantly impacts on the saturation distribution in micropores accounting for more than 80% contribution. We clarified that the gas production rate of median 200 μL/min impacts the least on saturation variation. Results in this research are of significance for deeper comprehension on three-phase saturation characteristics of concentrated brine storage in mining area. |
| format | Article |
| id | doaj-art-46a60f6ca9bc449db47007c563109ecf |
| institution | Kabale University |
| issn | 1468-8123 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geofluids |
| spelling | doaj-art-46a60f6ca9bc449db47007c563109ecf2025-08-20T03:36:13ZengWileyGeofluids1468-81232022-01-01202210.1155/2022/4484963Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining AreaXiaolong Hu0Hui Huang1Xidong Song2Hao He3Xiaolong Li4Jun Gao5Guanghua Zhou6Shaoxue Wu7Guocai Kong8Xiangming Huang9Ningxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineAppraisal Center for Environment and Engineering (ACEE)Ningxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineNingxia Coal Industry Company Ling Xin Coal MineFlow characteristics and phase distribution of concentrated brine storage in mining area have been core factors linking to the leakage risk assessment and ecological evaluation. Notably, saturation plays a crucial role in impacting the flow characteristics and distribution of brine, while the existence of oil left by mining machines and original reservoir and gas produced from coal bed gas and air has complicated the issue. In this work, we conducted the microfluidic visualization experiments to reveal the saturation distribution during brine storage in mining area. We applied machine learning model to extract saturation data from experimental images with over 95% accuracy. Eventually, we found that the existence of gas significantly impacts on the saturation distribution in micropores accounting for more than 80% contribution. We clarified that the gas production rate of median 200 μL/min impacts the least on saturation variation. Results in this research are of significance for deeper comprehension on three-phase saturation characteristics of concentrated brine storage in mining area.http://dx.doi.org/10.1155/2022/4484963 |
| spellingShingle | Xiaolong Hu Hui Huang Xidong Song Hao He Xiaolong Li Jun Gao Guanghua Zhou Shaoxue Wu Guocai Kong Xiangming Huang Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area Geofluids |
| title | Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area |
| title_full | Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area |
| title_fullStr | Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area |
| title_full_unstemmed | Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area |
| title_short | Research on Three-Phase Saturation Distribution Based on Microfluidic Visualization Experiment: A Case Study of Ling Xin Mining Area |
| title_sort | research on three phase saturation distribution based on microfluidic visualization experiment a case study of ling xin mining area |
| url | http://dx.doi.org/10.1155/2022/4484963 |
| work_keys_str_mv | AT xiaolonghu researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT huihuang researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT xidongsong researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT haohe researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT xiaolongli researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT jungao researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT guanghuazhou researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT shaoxuewu researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT guocaikong researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea AT xiangminghuang researchonthreephasesaturationdistributionbasedonmicrofluidicvisualizationexperimentacasestudyoflingxinminingarea |