H
Hamad Karki
Researcher at Khalifa University
Publications - 57
Citations - 749
Hamad Karki is an academic researcher from Khalifa University. The author has contributed to research in topics: Drill string & Control theory. The author has an hindex of 11, co-authored 53 publications receiving 580 citations. Previous affiliations of Hamad Karki include American Petroleum Institute & Petroleum Institute.
Papers
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Journal ArticleDOI
Application of robotics in offshore oil and gas industry- A review Part II
Amit Shukla,Hamad Karki +1 more
TL;DR: A review for application of robotics in onshore oil and gas industry and semi-autonomous robots, where actions are performed by robots but cognitive decisions are still taken by skilled operator are presented.
Journal ArticleDOI
Parametric studies on drill-string motions
TL;DR: In this paper, a reduced-order model with attention to stick-slip interactions between a drill string and an outer shell was used to study drill-string motions and found that small changes in the system rotation speed can have a significant influence on the nature of drill string motions.
Journal ArticleDOI
Torsional oscillations of a rotor with continuous stator contact
TL;DR: In this article, the torsional vibrations of a three degree-of-freedom Jeffcott rotor subjected to continuous stator contact are analyzed and numerically studied for both forward and backward whirling motions.
Journal ArticleDOI
Fault-Tolerant Formation Control of Nonholonomic Robots Using Fast Adaptive Gain Nonsingular Terminal Sliding Mode Control
TL;DR: In the event of any critical system fault, to isolate the faulty robots and to facilitate the formation reconfiguration avoiding the collision between the healthy robots and the faulty ones, this paper has proposed a fault-tolerant APF module employing the fault parameters.
Proceedings ArticleDOI
Autonomous tracking and navigation controller for an unmanned aerial vehicle based on visual data for inspection of oil and gas pipelines
TL;DR: This paper presents automated navigation control of an Unmanned Aerial Vehicle (UAV) based on visual data gathered by onboard camera that has double layers of correction loops namely angular and lateral corrections.