Automated fault network extraction in complex tectonic regimes: A hybrid machine learning and structural attributes approach
Interpreting seismic faults is crucial for prospect generation, reservoir modeling, and CO2 storage assessment. However, identifying faults in complex tectonic regimes remains challenging, particularly in regions that have experienced multiple phases of tectonic activity. Despite advancements in str...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Applied Computing and Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590197425000461 |
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