Supplies of Oil and Gas Extracting Industry and Intelligent Decision Support System

被引：0
|
作者：
Abu-Abed, Fares [1 ]
Khabarov, Alexey [1 ]
机构：
[1] Tver State Tech Univ, A Nikitin St 22, Tver 170026, Russia
来源：
DILEMAS CONTEMPORANEOS-EDUCACION POLITICA Y VALORES | 2019年 / 6卷
关键词：
pattern recognition; working vocabularies of features; artificial neural networks; abnormal situations; pre-crash sensing;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
The decision support system is designed to ensure the minimization of risk of failure associated with drilling, and losses. The development of intelligent automated system to support the activities of the operator of the rig will allow proactive detection of causes that lead to emergency situations and provide opportunity for informed decision-making. To solve this problem, it is necessary to carry out the choice of mathematical apparatus for recog-nition of pre-emergency situations in the drilling process, and developing and training the classifi-er based on artificial neural network.
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页数：14
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