NDLI: Analytic Technique of Drillstem Failure Based on Support Vector Machine Technology and Clustering Theory

Content Provider	IEEE Xplore Digital Library
Author	Tie Yan Xue-liang Bi Chang-jiang Wang
Copyright Year	2007
Description	Author affiliation: Daqing Pet. Inst., Daqing (Tie Yan; Xue-liang Bi; Chang-jiang Wang)
Abstract	An analyzed model of drillstem failure reason has been constructed based on SVM technology and clustering analysis theory in this paper, and the optimal kernel function and several appropriate factors also have been obtained by training the sample data. Using the drillstem failure data come from Daqing oilfield, according to the requirements of the model, the data have been pretreated and analyzed, finally the essential reasons for the drillstem failure here have been obtained successfully; what's more, six precautionary measures have been pointed out to solve the very problems in this paper. As showing in the paper, the new model is realer and more reliable to calculate and analyze the drillstem failure in drilling engineering, and it has been proved to provide a new technique to enrich the basic theory of drilling engineering.
Starting Page	506
Ending Page	511
File Size	256802
Page Count	6
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.239
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Drilling Laboratories Failure analysis Educational technology Bismuth Data engineering Reliability engineering Appropriate technology Petroleum
Content Type	Text
Resource Type	Article

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