Deep learning-based EM inversion for reservoir monitoring
Author:
Affiliation:
1. Aramco Research Center – Houston, Aramco Services Company
2. Geophysics Technology, EXPEC Advanced Research Center, Saudi Aramco
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2019-w4-02.1
Reference19 articles.
1. Deep-learning tomography
2. Colombo, D., and G. W., McNeice, 2017, Geophysical monitoring of waterflooding in Saudi Arabia: Methods and perspectives: 87th Annual International Meeting, SEG, Expanded Abstracts, 1044–1048, doi: 10.1190/segam2017-17583120.1.
3. Colombo, D., and G.W., McNeice, 2018, Surface to borehole CSEM for waterflood monitoring in Saudi Arabia: Data analysis: 88th Annual International Meeting, SEG, Expanded Abstracts, 868–872, doi: 10.1190/segam2018-2989653.1.
4. Colombo, D., G., McNeice, N., Cuevas, and M., Pezzoli, 2018, Surface to borehole electromagnetics for 3D waterflood monitoring: Results from first field deployment: SPE Annual Technical Conference and Exhibition, SPE-191544-MS.
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