Automatic computation of relative geologic time volume using self-supervised learning-Reference-Cited by-同舟云学术

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Automatic computation of relative geologic time volume using self-supervised learning

Published:2021-09-01 Issue: Volume: Page:
ISSN:
Container-title:First International Meeting for Applied Geoscience & Energy Expanded Abstracts
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Author:

Kim Dowan¹,Byun Joongmoo¹

Affiliation:

1. RISE.ML, Hanyang University

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2021-3581832.1

Reference22 articles.

1. Robust and adaptive approaches for Relative Geologic Time Estimation

2. Missing well-log data prediction using Bayesian approach in the relative-geologic time domain

3. Handbook of Poststack Seismic Attributes

4. Chen, T., S. Kornblith, M. Norouzi, and G. Hinton, 2020, A simple framework for contrastive learning of visual representations: International Conference on Machine Learning, 1597–1607.

5. Stratigraphic surfaces in the depositional and chronostratigraphic (Wheeler-transformed) domain

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