Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids
Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages....
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| Language: | English |
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024175433 |
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| author | Mudasar Zafar Hamzah Sakidin Abida Hussain Farman Ullah Mikhail Sheremet Iskandar Dzulkarnain Roslinda Nazar Abdullah Al-Yaari Liaqat Ali |
| author_facet | Mudasar Zafar Hamzah Sakidin Abida Hussain Farman Ullah Mikhail Sheremet Iskandar Dzulkarnain Roslinda Nazar Abdullah Al-Yaari Liaqat Ali |
| author_sort | Mudasar Zafar |
| collection | DOAJ |
| description | Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages. A numerical analysis explored the mathematical model for oil extraction from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions. This unique methodology utilised environmentally friendly TiO2-SiO2 hybrid nanoparticles, which were not previously investigated. The optimal conditions for oil extraction were then determined by simulations performed at 100 °C, 150 °C, and 200 °C for 2 h, 4 h, 8 h, and 12 h. This study also explored the optimisation of recovery rates by analysing several variables using ANSYS Fluent software, such as flow rate, porosity, and volume fraction. Consequently, these green TiO2-SiO2 nanoparticles presented an oil recovery rate that was 28 % and 6 % higher than water-flooding and conventional monofluid injection techniques, respectively. This outcome suggested that these TiO2-SiO2 nanoparticles could enhance efficiency and minimise environmental damage. |
| format | Article |
| id | doaj-art-97d828d5705549448ee65d1fa3189b7d |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-97d828d5705549448ee65d1fa3189b7d2025-01-17T04:51:30ZengElsevierHeliyon2405-84402025-01-01111e41512Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluidsMudasar Zafar0Hamzah Sakidin1Abida Hussain2Farman Ullah3Mikhail Sheremet4Iskandar Dzulkarnain5Roslinda Nazar6Abdullah Al-Yaari7Liaqat Ali8School of Mathematics, Actuarial and Quantative Studies (SOMAQS), Asia Pacific University of Technology & Innovation (APU), Bukit Jalil, 57000, Kuala Lumpur, Malaysia; Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar, Seri Iskandar, 32610, Perak, Malaysia; Corresponding author. School of Mathematics, Actuarial and Quantative Studies (SOMAQS), Asia Pacific University of Technology & Innovation (APU), Bukit Jalil, 57000, Kuala Lumpur, Malaysia.School of Mathematics, Actuarial and Quantative Studies (SOMAQS), Asia Pacific University of Technology & Innovation (APU), Bukit Jalil, 57000, Kuala Lumpur, MalaysiaSchool of Mathematics, Actuarial and Quantative Studies (SOMAQS), Asia Pacific University of Technology & Innovation (APU), Bukit Jalil, 57000, Kuala Lumpur, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Bandar, Seri Iskandar, 32610, Perak, Malaysia; Department of Physics, University of Science and Technology, Khyber Pakhtunkhwa, Bannu, 28100, PakistanLaboratory on Convective Heat and Mass Transfer, Tomsk State University, 634050, Tomsk, RussiaDepartment of Petroleum Engineering, Universiti Teknologi PETRONAS, Bandar, Seri Iskandar, 32610, Perak, MalaysiaDepartment of Mathematical Sciences, Faculty of Science & Technology, Universiti Kebangsaan Malaysia, 43600, UKM, Bangi, Selangor, MalaysiaSchool of Mathematics, Actuarial and Quantative Studies (SOMAQS), Asia Pacific University of Technology & Innovation (APU), Bukit Jalil, 57000, Kuala Lumpur, MalaysiaSchool of Sciences, Xi'an Technological University, Xi'an, 710021, ChinaAlthough oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages. A numerical analysis explored the mathematical model for oil extraction from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions. This unique methodology utilised environmentally friendly TiO2-SiO2 hybrid nanoparticles, which were not previously investigated. The optimal conditions for oil extraction were then determined by simulations performed at 100 °C, 150 °C, and 200 °C for 2 h, 4 h, 8 h, and 12 h. This study also explored the optimisation of recovery rates by analysing several variables using ANSYS Fluent software, such as flow rate, porosity, and volume fraction. Consequently, these green TiO2-SiO2 nanoparticles presented an oil recovery rate that was 28 % and 6 % higher than water-flooding and conventional monofluid injection techniques, respectively. This outcome suggested that these TiO2-SiO2 nanoparticles could enhance efficiency and minimise environmental damage.http://www.sciencedirect.com/science/article/pii/S2405844024175433Reservoir geometryGreen nanoparticlesFinite volume analysisMathematical modellingUnconventional reservoir |
| spellingShingle | Mudasar Zafar Hamzah Sakidin Abida Hussain Farman Ullah Mikhail Sheremet Iskandar Dzulkarnain Roslinda Nazar Abdullah Al-Yaari Liaqat Ali Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids Heliyon Reservoir geometry Green nanoparticles Finite volume analysis Mathematical modelling Unconventional reservoir |
| title | Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| title_full | Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| title_fullStr | Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| title_full_unstemmed | Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| title_short | Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| title_sort | numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids |
| topic | Reservoir geometry Green nanoparticles Finite volume analysis Mathematical modelling Unconventional reservoir |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024175433 |
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