METHOD FOR AUTOMATICALLY LOCATING MICROSEISMIC EVENTS BASED ON DEEP BELIEF NEURAL NETWORK AND COHERENCE SCANNING

摘要

A method for automatically locating microseismic events based on a deep belief neural network and coherence scanning includes the following steps: randomly selecting data of one three-component geophone; performing arrival time picking and phase identification of microseismic events on the data thereof using a deep belief neural network; and then, on the basis of the obtained arrival time and phases, performing coherence scanning and positioning imaging using the microseismic data received by all three-component geophones. In the image, the space position representing the highest stacking energy may be considered as a real space position where the microseismic events occur, implementing the automatic and accurate locating of the microseismic events.