Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tengku Ezharuddin Tengku Bidin"'
Autor:
Azlan Mohamad, Dalila Gomes, Meor M. Meor Hashim, Tengku Ezharuddin Tengku Bidin, M. Hazwan Yusoff, M. Faris Arriffin
Publikováno v:
Day 1 Tue, March 23, 2021.
The advancement of technology in this era has long profited the oil and gas industry by means of shrinking non-productive time (NPT) events and reducing drilling operational costs via real-time monitoring and intervention. Nevertheless, stuck pipe in
Autor:
Tengku Ezharuddin Tengku Bidin, Majo Jose, M. Faris Arriffin, Dalila Gomes, Meor M. Meor Hashim, Azlan Mohamad, M. Hazwan Yusoff
Publikováno v:
Day 7 Mon, March 29, 2021.
Stuck pipe is one of the leading causes of non-productive time (NPT) while drilling. Machine learning (ML) techniques can be used to predict and avoid stuck pipe issues. In this paper, a model based on ML to predict and prevent stuck pipe related to
Autor:
Azlan Mohamad, M. Faris Arriffin, M. Hazwan Yusoff, Meor M. Meor Hashim, Tengku Ezharuddin Tengku Bidin, Dalila Gomes
Publikováno v:
Day 3 Thu, March 25, 2021.
The restriction or inability of the drill string to reciprocate or rotate while in the borehole is commonly known as a stuck pipe. This event is typically accompanied by constraints in drilling fluid flow, except for differential sticking. The stuck