Journal article
Near-wellbore modeling of a horizontal well with Computational Fluid Dynamics
Technical University of Denmark1
Department of Mechanical Engineering, Technical University of Denmark2
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Fluid Mechanics, Coastal and Maritime Engineering, Department of Mechanical Engineering, Technical University of Denmark4
Department of Chemistry, Technical University of Denmark5
CERE – Center for Energy Ressources Engineering, Department of Chemical and Biochemical Engineering, Technical University of Denmark6
Lloyd’s Register Consulting Denmark7
The oil production by horizontal wells is a complex phenomenon that involves flow through the porous reservoir, completion interface and the well itself. Conventional reservoir simulators can hardly resolve the flow through the completion into the wellbore. On the contrary, Computational Fluid Dynamics (CFD) is capable of modeling the complex interaction between the creeping reservoir flow and turbulent well flow for single phases, while capturing both the completion geometry and formation damage.
A series of single phase steady-state simulations are undertaken, using such fully coupled three dimensional numerical models, to predict the inflow to the well. The present study considers the applicability of CFD for near-wellbore modeling through benchmark cases with available analytical solutions.
Moreover, single phase steady-state numerical investigations are performed on a specific perforated horizontal well producing from the Siri field, offshore Denmark. The performance of the well is investigated with an emphasis on the inflow profile and the productivity index for different formation damage scenarios.
A considerable redistribution of the inflow profile were found when the filtrate invasion extended beyond the tip of the perforations.
Language: | English |
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Year: | 2018 |
Pages: | 119-128 |
ISSN: | 18734715 and 09204105 |
Types: | Journal article |
DOI: | 10.1016/j.petrol.2017.10.011 |
ORCIDs: | Hemmingsen, Casper Schytte , Yan, Wei and Walther, Jens Honore |