Effect of rock physics modeling in impedance inversion from seismic data using convolutional neural network-Reference-Cited by-同舟云学术

Effect of rock physics modeling in impedance inversion from seismic data using convolutional neural network

Published:2019-04-29 Issue: Volume: Page:
ISSN:
Container-title:The 13th SEGJ International Symposium, Tokyo, Japan, 12–14 November 2018
language:
Short-container-title:

Author:

Das Vishal¹,Pollack Ahinoam¹,Wollner Uri¹,Mukerji Tapan¹

Affiliation:

1. Stanford University

Publisher

Society of Exploration Geophysicists and Society of Exploration Geophysicists of Japan

Reference8 articles.

1. Deutsch, C. V., and A.G. Journel, 1992, GSLIB-Geostatistical Software Library and user's guide: Oxford University Press, Oxford.

2. Goodfellow, I., Y. Bengio, and A. Courville, 2016, Deep Learning: MIT Press, Boston.

3. Kennett, B. L. N., 1983, Seismic Wave Propagation in Stratified Media: Cambridge University Press.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. What samples must seismic interpreters label for efficient machine learning?;Third International Meeting for Applied Geoscience & Energy Expanded Abstracts;2023-12-14