Research of Prewarning Pipe-Sticking Based on Neural Network

Dan Zhu; Guang Xing Liu; Qi Zhi Zhang

doi:10.4028/www.scientific.net/AMM.325-326.1734

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326Research of Prewarning Pipe-Sticking Based on...

Research of Prewarning Pipe-Sticking Based on Neural Network

Abstract:

According to the process of drilling characteristics which include complexity and uncertainty, this paper will propose using the technology of neural network in order to making stuck drill accident prewarning, setting the model of sticking prewarning, finally shows that the accuracy of the models by field data. Choosing mean impact value (MIV) algorithm for the variables influence screening, then selecting variables which influences on the accident of stuck drill largely as the input of the network, collecting the data of drilling and building the sticking prewarning model, eventually the the accuracy of the models is proved.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

1734-1737

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.1734

Citation:

Cite this paper

Online since:

June 2013

Authors:

Dan Zhu, Guang Xing Liu, Qi Zhi Zhang

Keywords:

BP Neural Network (BPNN), Mean Impact Value, Sticking Prewarning

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References

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