现代交通技术2024，Vol.21Issue(3)：47-50,60,5.
油气田瓦斯隧道TSP图像智能识别研究
Research on Intelligent Recognition of TSP Images of Gas Tunnels in Oil and Gas Fields
徐世权1
作者信息
- 1. 中铁十九局集团第一工程有限公司,辽阳 111010
- 折叠
摘要
Abstract
Due to the complexity of TSP images,the accuracy and efficiency of the interpretation results are not high in the tra-ditional geological prediction of gas tunnels in non-coal measure oil and gas fields.The use of intelligent recognition technolo-gy can effectively solve corresponding problems.Based on the project of high gas tunnel in an oil and gas field area,the intelli-gent recognition and prediction model is established by using the python platform combined with the theory of deep learning.Through the model,the P-wave pattern in TSP graph is identified and the bad geological situate is judged.The results show that the intelligent recognition model can effectively identify the P-wave,judge the situation of the surrounding rock,reduce the error of manual recognition and realize precise geological detection and gas prevention of high gas tunnels in oil and gas fields.关键词
智能识别/围岩裂缝/瓦斯隧道/TSP超前地质预报Key words
intelligent recognition/surrounding rock crack/gas tunnel/TSP advanced geological prediction分类
交通运输引用本文复制引用
徐世权..油气田瓦斯隧道TSP图像智能识别研究[J].现代交通技术,2024,21(3):47-50,60,5.
