Cart (Loading....) | Create Account
Close category search window

Diagnosing drilling problems using visual analytics of sensors measurements

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Arnaout, A. ; TDE Thonhauser Data Eng. GmbH, Leoben, Austria ; Alsallakh, B. ; Fruhwirth, R. ; Thonhauser, G.
more authors

One of the major challenges in the drilling industry is the quick detection of problems that can occur during drilling a deep well due to high cost implications. These problems can occur for various reasons and can exhibit varying symptoms, which make them difficult to identify or prevent automatically. Visual Analytics has emerged as an alternative approach for data analysis. It combines both the computational power of computers and the experience of domain experts to analyze and gain insights into large data. This paper describes a procedure for analyzing and identifying drilling problem using Visual Analytics techniques. It provides results of an elaborated analysis of sensor measurement datasets that contain “Stuck Pipes” situations - one of the most common drilling problems. Statistical features are calculated from the dataset using the sliding window method. We show how visual analysis by means of linked scatter plots enable relating the problem patterns to the computed features and can hence help in identifying “Stuck Pipes” problems.

Published in:

Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International

Date of Conference:

13-16 May 2012

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.