Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow
A novel approach to asphaltenes precipitation and deposition prediction and forecast, applied multiple methods including innovative numerical modeling within multiphase flow. Furthermore, modeled the effect of CO2 injection on asphaltenes precipitation during enhanced oil recovery within the reserv...
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| Format: | Thesis |
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Curtin University
2021
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| Online Access: | http://hdl.handle.net/20.500.11937/82656 |
| _version_ | 1848764531170344960 |
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| author | Elkahky, Sherif |
| author_facet | Elkahky, Sherif |
| author_sort | Elkahky, Sherif |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A novel approach to asphaltenes precipitation and deposition prediction and forecast, applied multiple methods including innovative numerical modeling within multiphase flow. Furthermore, modeled the effect of CO2 injection on asphaltenes precipitation during enhanced oil recovery within the reservoir and wellbore. The parametric effect on asphaltenes deposition of crude oil was modeled and evaluated against previous experimental values. The numerical models and simulations were in good agreement with the steady-state solution of the asphaltenes onset curve. |
| first_indexed | 2025-11-14T11:20:50Z |
| format | Thesis |
| id | curtin-20.500.11937-82656 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:20:50Z |
| publishDate | 2021 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-826562021-03-02T03:27:34Z Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow Elkahky, Sherif A novel approach to asphaltenes precipitation and deposition prediction and forecast, applied multiple methods including innovative numerical modeling within multiphase flow. Furthermore, modeled the effect of CO2 injection on asphaltenes precipitation during enhanced oil recovery within the reservoir and wellbore. The parametric effect on asphaltenes deposition of crude oil was modeled and evaluated against previous experimental values. The numerical models and simulations were in good agreement with the steady-state solution of the asphaltenes onset curve. 2021 Thesis http://hdl.handle.net/20.500.11937/82656 Curtin University fulltext |
| spellingShingle | Elkahky, Sherif Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title_full | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title_fullStr | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title_full_unstemmed | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title_short | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow |
| title_sort | novel approach to predict and model asphaltene precipitation and deposition in multiphase flow |
| url | http://hdl.handle.net/20.500.11937/82656 |