Cross-equalization of time-lapse seismic data using recurrent neural networks
Author:
Affiliation:
1. King Abdullah University of Science and Technology
2. Saudi Aramco
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3424773.1
Reference23 articles.
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2. Deep-learning tomography
3. Bakulin, A., R. Burnstad, M. Jervis, and P. Kelamis, 2012, The feasibility of permanent land seismic monitoring with buried geophones and hydrophones: 74th Conference and Exhibition, EAGE, Extended Abstracts, cp-293, doi: 10.3997/2214-4609.20148785.
4. Bakulin, A., R. Smith, and M. Jervis, 2018, Permanent buried receiver monitoring of a carbonate reservoir in a desert environment: 80th Conference and Exhibition, EAGE, Extended Abstracts, 1–5, doi: 10.3997/2214-4609.201801471.
5. Seismic monitoring of CO 2 geosequestration: CO2CRC Otway case study using full 4D FDTD approach
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