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contributor authorIslam, Rakibul
contributor authorKhan, Faisal
contributor authorVenkatesan, Ramchandran
date accessioned2019-02-28T10:55:38Z
date available2019-02-28T10:55:38Z
date copyright3/2/2018 12:00:00 AM
date issued2018
identifier issn2332-9017
identifier otherrisk_004_02_021010.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250865
description abstractThe early detection of a kick and mitigation with appropriate well control actions can minimize the risk of a blowout. This paper proposes a downhole monitoring system, and presents a dynamic numerical simulation of a compressible two-phase flow to study the kick dynamics at downhole during drilling operation. This approach enables early kick detection and could lead to the development of potential blowout prevention strategies. A pressure cell that mimics a scaled-down version of a downhole is used to study the dynamics of a compressible two-phase flow. The setup is simulated under boundary conditions that resemble realistic scenarios; special attention is given to the transient period after injecting the influx. The main parameters studied include pressure gradient, raising speed of a gas kick, and volumetric behavior of the gas kick with respect to time. Simulation results exhibit a sudden increase of pressure while the kick enters and volumetric expansion of gas as it flows upward. This improved understanding helps to develop effective well control and blowout prevention strategies. This study confirms the feasibility and usability of an intelligent drill pipe as a tool to monitor well conditions and develop blowout risk management strategies.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Numerical and Experimental Study of Kick Dynamics at Downhole
typeJournal Paper
journal volume4
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
identifier doi10.1115/1.4039016
journal fristpage21010
journal lastpage021010-9
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2018:;volume( 004 ):;issue:002
contenttypeFulltext


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