Neural network interpretation of aeromagnetic data

摘要

A method for determining depth to basement from aeromagnetic data utilizes neural networks (10) to automate the laborious process of profile interpretation. The neural networks provide consistency, accuracy and overall quality without bias of interpretation. A network is provided having input (12), intermediate (14) and output (16) layers. A two-dimensional profile magnetic basement model is formed, reprocessed aeromagnetic survey profiles are windowed for input to the network, the network is trained by weight adjustment using profiles from known basement structures, the trained network is tested and then applied to aeromagnetic profiles over an unknown earth formation.