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An Automatic Classification Method for Igneous Rock Fractures Based on an Interpretable Ensemble Machine Learning Model
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An Automatic Classification Method for Igneous Rock Fractures Based on an Interpretable Ensemble Machine Learning Model
Fractures play a pivotal role in controlling the reservoir quality and fluid flow capacity of buried hill hydrocarbon systems in igneous rocks. Accurate identification and evaluation of such fractures are therefore critical for efficient hydrocarbon exploration and development. In the Huizhou ...
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