An integrated workflow for deep learning-accelerated seismic modeling of the Groningen gas field, the Netherlands

Author:

Di Haibin1,Simoes Vanessa1,Li Zhun1,Li Cen1,Kaul Anisha1,Abubakar Aria1

Affiliation:

1. Schlumberger

Publisher

Society of Exploration Geophysicists and American Association of Petroleum Geologists

Reference27 articles.

1. Semisupervised sequence modeling for elastic impedance inversion

2. Wasserstein cycle-consistent generative adversarial network for improved seismic impedance inversion: Example on 3D SEAM model

3. Chen, X., H. Maniar, and A. Abubakar, 2019, Unsupervised well log reconstruction and outlier detection: U. S. Provisional Patent Application, 62/897,088 and International Patent Application, PCT/US2020/070494.

4. Convolutional neural network for seismic impedance inversion

5. Estimating subsurface properties using a semisupervised neural network approach

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