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Resistivity Imaging from Electromagnetic Data Using a Fully Convolutional Network
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
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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