Neural network interpretation of aeromagnetic data
First Claim
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1. A computer implemented method for studying structural anomalies along aeromagnetic traces comprising the steps of:
- providing a neural network having at least input, intermediate and output layers;
forming at least one two-dimensional profile magnetic basement structural model, each said at least one model having a range of geometric dimension approximating an area to be studied;
reprocessing aeromagnetic survey profiles to remove erroneous readings and the International Geomagnetic Reference Field;
windowing said profiles for input into the network;
training the neural network through weight adjustment using computer generated magnetic profiles from basement structures representative of those anticipated to be found in the basin of interest;
testing the trained network on aeromagnetic profiles where basement structures are already known from other means to validate the network; and
applying the network to recorded aeromagnetic profiles over an unknown portion of the basin.
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Abstract
A method for determining depth to basement from aeromagnetic data utilizes neural networks to automate the laborious process of profile interpretation. The neural networks provide consistency, accuracy and overall quality without bias of interpretation.
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Citations
21 Claims
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1. A computer implemented method for studying structural anomalies along aeromagnetic traces comprising the steps of:
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providing a neural network having at least input, intermediate and output layers; forming at least one two-dimensional profile magnetic basement structural model, each said at least one model having a range of geometric dimension approximating an area to be studied; reprocessing aeromagnetic survey profiles to remove erroneous readings and the International Geomagnetic Reference Field; windowing said profiles for input into the network; training the neural network through weight adjustment using computer generated magnetic profiles from basement structures representative of those anticipated to be found in the basin of interest; testing the trained network on aeromagnetic profiles where basement structures are already known from other means to validate the network; and applying the network to recorded aeromagnetic profiles over an unknown portion of the basin. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification