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Quantitative Study of Oilfield Casing Damage

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Information Computing and Applications (ICICA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7473))

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Abstract

Carrying on the analysis to the cause of casing failure based on engineering factors and geological factors, and choosing the improved analytic hierarchy process to have a quantitative study for oilfield of the casing failure, improved the influence of quantitative study to casing failure when subjective factors been existent, it’s extremely effective to determine the weights of each affecting factor. Establishing the analytical model of casing failure based on the improved ahp analysis, and analyzing the casing failure situation quantitativly, then comparing to the actual damage datas, the accuracy rate is above 85%, which shows that it can be effectivly evaluated to casing failure by this method.

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Author information

Authors and Affiliations

  1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education (Yangtze University), Jingzhou City, Nanhuan Road 1#, 434023, Hubei, China

    Deng Rui & Guo Haimin

  2. School of Geophysics and Oil Resources, Yangtze University, Jingzhou City, Nanhuan Road 1#, 434023, Hubei, China

    Deng Rui & Guo Haimin

  3. Zhanjiang Branch, Zhonghai Petroleum (China) Co., Ltd., Zhanjiang City, Nandiao Road, 524057, China

    Zhang Liang

Authors
  1. Deng Rui
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  2. Zhang Liang
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  3. Guo Haimin
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Editor information

Editors and Affiliations

  1. College of Science, Hebei United University, 063000, Tangshan, Hebei, China

    Baoxiang Liu

  2. Nanyang Technological University, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Jincai Chang

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© 2012 Springer-Verlag Berlin Heidelberg

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Rui, D., Liang, Z., Haimin, G. (2012). Quantitative Study of Oilfield Casing Damage. In: Liu, B., Ma, M., Chang, J. (eds) Information Computing and Applications. ICICA 2012. Lecture Notes in Computer Science, vol 7473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34062-8_79

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  • DOI: https://doi.org/10.1007/978-3-642-34062-8_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34061-1

  • Online ISBN: 978-3-642-34062-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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