M
Mehmet Sorgun
Researcher at Izmir Kâtip Çelebi University
Publications - 33
Citations - 485
Mehmet Sorgun is an academic researcher from Izmir Kâtip Çelebi University. The author has contributed to research in topics: Pressure drop & Annulus (oil well). The author has an hindex of 11, co-authored 32 publications receiving 402 citations. Previous affiliations of Mehmet Sorgun include Middle East Technical University & Atatürk University.
Papers
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Proceedings ArticleDOI
Effect of Pipe Rotation on Hole Cleaning for Water-Based Drilling Fluids in Horizontal and Deviated Wells
Journal ArticleDOI
Critical Fluid Velocities for Removing Cuttings Bed Inside Horizontal and Deviated Wells
TL;DR: In this paper, the critical fluid flow velocity for preventing the development of a stationary bed using empirical correlations valid for horizontal and highly inclined wellbores that can be easily used at the field was estimated.
Proceedings ArticleDOI
Frictional Pressure Loss Estimation of Non-Newtonian Fluids in Realistic Annulus With Pipe Rotation
Evren Ozbayoglu,Mehmet Sorgun +1 more
TL;DR: In this article, the authors developed correction factors for determining the frictional pressure losses accurately in eccentric horizontal annulus for non-Newtonian fluid, including the effect of pipe rotation.
Journal ArticleDOI
Friction factors for hydraulic calculations considering presence of cuttings and pipe rotation in horizontal/highly-inclined wellbores
TL;DR: In this article, a cuttings transport flow loop capable of operating at various inclinations was used to estimate the frictional pressure losses in the annulus during pipe rotation, and the results showed that the presence of cut-tings increase the pressure drop due to decrease in flow area inside the wellbore.
Journal ArticleDOI
Predicting Frictional Pressure Loss During Horizontal Drilling for Non-Newtonian Fluids
TL;DR: In this paper, the authors estimate frictional pressure loss and velocity profile of non-Newtonian drilling fluids in both concentric and eccentric annuli using an Eulerian-Eulerian computational fluid dynamics (CFD) model.