Automatic Seismic First Arrival Picking With Deep-Learning

Abstract

Summary This work implements a fully-convolutional neuron network to pick first arrival in difficult field land seismic data. Compared to traditional methods, it greatly improves the productivity. Current work is limited to 2D seismic shot gather and can be extended to 3D without much difficulty. In our test dataset, its picking takes few second per shot and has a credible precision.