THE SOLUTION OF FRACTURES DETECTION PROBLEMBY METHODS OF MACHINE LEARNING
This work is devoted to solution of fracture exploration seismology inverse problems with use of methods machine learning. The single of fixed dimension fracture with subvertical orientation is observed in 2D case. With use of neural network the recognition of spatial placement and angle of fracture was produced. The training set is formed by the solutions of direct problems with use of grid-characteristic method on regular rectangular meshes in form of synthetical seismograms obtained on surface of medium with registration of vertical velocity component.