Research on Abnormal Detection Method of Data Flow Trend in Oil Drilling Engineering Early Warning

Author:

Yu Liwei,Feng Yutian,Wang Xintong,Wu Yuanyue,Liu Yutao

Abstract

Abstract In this paper, by collecting and analysing the domestic and foreign oil drilling accident data and early warning technology, combined with the oil drilling process prediction and forecasting process deficiencies. Based on theoretical analysis and analysis of five typical accident modes in actual drilling rig engineering, the early warning method and train of thought of oil drilling engineering are established, and the index of early warning of accident is given. The sensitivity of various accident prediction indexes to the corresponding accidents is studied. On the basis of analysing the forecast signal and processing, the comprehensive model of accident early warning under multi-objective condition is established.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on Drilling Overflow Warning Method Based on Logging Data and LSTM;2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2023-04-26

2. Design and analysis of intelligent cases push system for drilling accident based on cloud platform;2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP);2022-04-15

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