Introducing attentive neural networks into unconventional oil and gas violation analysis and emergency response system
作者：
Highlights：
• A novel attentive neural network is introduced into UOG emergency response system.
• Our work is capable of massive unstructured data for government decision support.
• We can obtain practical implications based on real-life UOG compliance reports.
• Fine-grained geological feature is essential in UOG environmental emergencies.
摘要
•A novel attentive neural network is introduced into UOG emergency response system.•Our work is capable of massive unstructured data for government decision support.•We can obtain practical implications based on real-life UOG compliance reports.•Fine-grained geological feature is essential in UOG environmental emergencies.
论文关键词：Unconventional oil and gas,Violation analysis,Attentive neural network,Emergency response,Decision support system
论文评审过程：Received 8 February 2022, Revised 23 July 2022, Accepted 31 July 2022, Available online 11 August 2022, Version of Record 17 August 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118352
