Abstract: In order to improve the detection methods of oil pipeline leakage, this article briefly introduces some
commonly used methods of oil pipeline leakage detection, such as direct detection methods, negative pressure
wave detection method and neural network based detection method and so on. These methods have their
advantages and disadvantages in application. However, with the improvement of oil pipeline leak detection
requirements, these methods cannot meet people’s requirements, still need to be further improved.
Subsequently, we introduce the deep learning. Deep learning is the development on the basis of neural network
and its application in many aspects makes up the deficiency of the application. Among them, deep learning has
been successful in image and speech recognition applications. These facts provide some theoretical support for the
subsequent application of deep learning in oil pipeline leak detection.

Key words: deep learning,  oil pipeline, leak detection