Causal-Graph Lithology Classifier: Synergizing Causal Inference with Graph Neural Networks for High-Accuracy Rock Classification in Well Logging DOI
Youzhuang Sun, Shanchen Pang,

Zhihan Qiu

et al.

Marine and Petroleum Geology, Journal Year: 2025, Volume and Issue: unknown, P. 107452 - 107452

Published: May 1, 2025

Language: Английский

Bridging geological domain gaps in fluid classification using siamese networks and cross-domain adaptation DOI
Hengxiao Li, Sibo Qiao

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

Traditional fluid identification methods usually rely on labeled data, which is both scarce and expensive in real-world applications. One significant challenge this regard the difficulty of transferring techniques across diverse geological environments. To address issue, we propose a new method that integrates siamese networks with cross-domain adaptation mechanisms (FCSCD). The primary objective FCSCD to bridge data distribution gap between different domains, thereby improving efficiency. By harnessing contrastive learning power networks, promotes transfer knowledge source target domains by measuring feature similarities these settings. Furthermore, adoption ensures differences categories are aligned, ultimately improves classification accuracy. This proves particularly effective for tasks complex reservoirs, where substantial variations regions pose challenges traditional models. Experimental results from typical well dataset Tarim Oilfield show model outperforms approaches large margin. Comparative experiments also highlight exceptional adaptability robustness managing boundary complexities addressing shifts distributions domains.

Language: Английский

Citations

1

CCWSIM: an efficient and fast wavelet-based CCSIM for categorical characterization of large-scale geological domains DOI

Mojtaba Bavandsavadkoohi,

Erwan Gloaguen, Behzad Tokhmechi

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: April 2, 2025

Language: Английский

Citations

0

Integrating SHAP Explainability in Few-Shot Lithology Identification Using Dynamic Semi-Supervised Meta-Learning DOI
Hengxiao Li, Youzhuang Sun, Sibo Qiao

et al.

Natural Resources Research, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0

Causal-Graph Lithology Classifier: Synergizing Causal Inference with Graph Neural Networks for High-Accuracy Rock Classification in Well Logging DOI
Youzhuang Sun, Shanchen Pang,

Zhihan Qiu

et al.

Marine and Petroleum Geology, Journal Year: 2025, Volume and Issue: unknown, P. 107452 - 107452

Published: May 1, 2025

Language: Английский

Citations

0