1887

Abstract

Summary

We propose an electrical resistivity imaging method from electromagnetic data based on the ever-evolving machine learning technique. This method is applied to delineate salt body that is essential for hydrocarbon reservoir imaging and uses a fully convolutional network to preserve the spatial information of the input data. The proposed network is trained using synthetic data and shows impressive results when applied to unseen test data.

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/content/papers/10.3997/2214-4609.201901486
2019-06-03
2020-03-31
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