Quantitative safety evaluation of drilling engineering by combining analytic hierarchy process with alternating condition expectation

Kunkun Fan, Fangxiang Wang, Chunguang Wang, Shaojie Chen, Hai Lin, Jia He, Zhongwei Chen

科研成果: 期刊稿件会议文章同行评审

1 引用 (Scopus)

摘要

Drilling engineering is important for development of underground resources. There are many potential risks in the process of drilling engineering. If the drilling safety is not effectively managed, it will lead to great loss. In order to predicate and prevent safety accidents, a safety evaluation index system is established and an AHP-ACE method is proposed. 23 groups of original drilling data are collected from a block of Xinjiang oil field, and the safety levels are quantitatively analyzed by characteristic values. First, the AHP method is applied to relate direct observation variables to potential variables by calculating weight and determining membership function of each index. Second, three potential variables are chosen as the input of the ACE model and a training set containing 17 groups of data is used to establish the mathematical relationship between the potential variables and drilling safety value. Finally, the validity of the proposed model is examined by matching it to the other 6 groups of data. This study provides a new and effective way to quantitatively evaluate the safety of drilling engineering.

源语言英语
文章编号01038
期刊E3S Web of Conferences
303
DOI
出版状态已出版 - 17 9月 2021
已对外发布
活动10th Anniversary Russian-Chinese Symposium on Clean Coal Technologies: Mining, Processing, Safety, and Ecology 2021 - Kemerovo, 俄罗斯联邦
期限: 19 10月 202121 10月 2021

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