Research on Wellbore Instability Prediction MethodBased on The Fuzzy Evaluation

DOI

10.2991/978-94-6463-108-1_76How to use a DOI?

Keywords

wellbore instability; fuzzy evaluation; clustering; membership function

Abstract

With the increasing depth of drilling and the increasing complexity of geological conditions, the wellbore instability has become an important factor affecting the drilling construction. Accurate prediction of wellbore instability and corresponding preventive measures have significant effects on shortening drilling cycle and improving economic benefits. This paper proposes a prediction method of wellbore instability based on fuzzy comprehensive evaluation technology based on expert domain knowledge. The experimental results show that the accuracy of this method is high, however, there are still problems such as difficulties in data collection of influencing factors and poor real-time performance, which needs to be continuously improved in future research.

Copyright

© 2022 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Pin Wang
AU  - Xinghua Su
AU  - Sheng Zhan
AU  - Min Wang
PY  - 2022
DA  - 2022/12/30
TI  - Research on Wellbore Instability Prediction MethodBased on The Fuzzy Evaluation
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 683
EP  - 689
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_76
DO  - 10.2991/978-94-6463-108-1_76
ID  - Wang2022
ER  -