Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
Loading...
External sources
External sources
Date
Advisor
Coadvisor
Graduate program
Undergraduate course
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier B.V. Ltd
Elsevier
Elsevier
Type
Article
Access right
Acesso restrito
External sources
External sources
Abstract
Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing the cutting images at the vibrating shake shaker, in which different concentrations of cuttings can indicate possible problems, such as the collapse of the well borehole walls. In such a way, we present here an innovative computer vision system composed by a real time cutting volume estimator addressed by support vector regression. As far we know, we are the first to propose the petroleum well drilling monitoring by cutting image analysis. We also applied a collection of supervised classifiers for cutting volume classification. (C) 2010 Elsevier Ltd. All rights reserved.
Description
Language
English
Citation
Engineering Applications of Artificial Intelligence. Oxford: Pergamon-Elsevier B.V. Ltd, v. 24, n. 1, p. 201-207, 2011.
