Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Konferenzband

Standard

Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components. / Thonhauser, Gerhard; Esmael, Bilal.
Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components. 2010. S. 44-47.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Konferenzband

Harvard

Thonhauser, G & Esmael, B 2010, Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components. in Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components. S. 44-47.

APA

Thonhauser, G., & Esmael, B. (2010). Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components. In Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components (S. 44-47)

Vancouver

Thonhauser G, Esmael B. Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components. in Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components. 2010. S. 44-47

Author

Thonhauser, Gerhard ; Esmael, Bilal. / Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components. Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components. 2010. S. 44-47

Bibtex - Download

@inproceedings{b97cda7c857a46848e8ed465a09ef66f,
title = "Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components",
author = "Gerhard Thonhauser and Bilal Esmael",
year = "2010",
language = "English",
pages = "44--47",
booktitle = "Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Abnormal Oil Well Drilling Operations detection Using Smallest Principal Components

AU - Thonhauser, Gerhard

AU - Esmael, Bilal

PY - 2010

Y1 - 2010

M3 - Conference contribution

SP - 44

EP - 47

BT - Abnormal Oil Well Drilling Operations Detection Using Smallest Principal Components

ER -