Research on Intelligent Recognition of TSP Images of Gas Tunnels in Oil and Gas Fields
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.
intelligent recognitionsurrounding rock crackgas tunnelTSP advanced geological prediction
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