Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow
dc.contributor.author | Elkahky, Sherif | |
dc.contributor.supervisor | Ahmed Barifcani | en_US |
dc.contributor.supervisor | Christopher Lagat | en_US |
dc.contributor.supervisor | Mohammad Sarmadivaleh | en_US |
dc.date.accessioned | 2021-02-25T01:16:22Z | |
dc.date.available | 2021-02-25T01:16:22Z | |
dc.date.issued | 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/82656 | |
dc.description.abstract |
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. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Novel Approach to Predict and Model Asphaltene Precipitation and Deposition in Multiphase Flow | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | MPhil | en_US |
curtin.department | WASM: Minerals, Energy and Chemical Engineering | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |