Machine learning assisted seismic interpretation of top and base carbonate for Earth model building: A case study of carbonate platforms from southern Gulf of Mexico-Reference-Cited by-同舟云学术

Machine learning assisted seismic interpretation of top and base carbonate for Earth model building: A case study of carbonate platforms from southern Gulf of Mexico

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

Author:

Ferdinand Fernandez Dan¹,King Ryan¹,Manzano David¹,Menzel-Jones Gavin¹

Affiliation:

1. Schlumberger

Publisher

Society of Exploration Geophysicists

Link

https://library.seg.org/doi/pdf/10.1190/segam2021-3592749.1

Reference7 articles.

1. Abadi, M., P. Barham, J. Chen, Z. Chen, A. Davis, J. Dean, M. Devin, S. Ghemawat, G. Irving, M. Isard, M. Kudlur, J. Levenberg, R. Monga, S. Moore, D. Murray, B. Steiner, P. Tucker, V. Vasudevan, P. Walden, M. Wicke, Y. Yu, and X. Zheng, 2016, Tensorflow: A system for large-scale machine learning: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), 265–283.

2. Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow

3. Accelerating seismic fault and stratigraphy interpretation with deep CNNs: A case study of the Taranaki Basin, New Zealand

4. Automated interpretation of top and base salt using deep-convolutional networks

Cited by 3 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. Machine learning for seismic exploration: Where are we and how far are we from the holy grail?;GEOPHYSICS;2023-11-07

2. Insights using machine learning in predicting faults and horizons: A case study onshore Texas;Second International Meeting for Applied Geoscience & Energy;2022-08-15

3. Predicting horizons for salt body models using machine learning from neighboring seismic surveys: A case study from the northern Gulf of Mexico;Second International Meeting for Applied Geoscience & Energy;2022-08-15