2D electromagnetic inversion using ANN solver for three–layer model with wall
Keyword(s):
We propose an approach to inversion of induction LWD measurements based on calculation of the synthetic signals by artificial neural networks (ANN) specially trained on some database. The database for ANN training is generated by means of the proprietary 2D solver Pie2d. Validation of the proposed approach and estimation of computation time is performed for the problem of reconstruction of the three–layer model with a wall. Also, we make uncertainty analysis for the reconstructed model parameters for two tool configurations.
2017 ◽
Vol 7
(5)
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pp. 156-161
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2013 ◽
Vol 24
(1)
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pp. 27-34
2014 ◽
Vol 519
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pp. 1895-1907
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2013 ◽
Vol 34
(4)
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pp. 1169-1180
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2019 ◽
Vol 31
(2)
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pp. 151-161
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