Hybrid AI model nears perfect oil-presence prediction in synthetic reservoirs
A multi-branch deep-learning model reached 98.74% accuracy for oil-presence classification in a held-out synthetic reservoir dataset, but field validation remains ...
A multi-branch deep-learning model reached 98.74% accuracy for oil-presence classification in a held-out synthetic reservoir dataset, but field validation remains ...
A study of the Longmaxi Formation in the Yongchuan area of the Sichuan Basin shows that varying intensities of tectonic ...
Researchers have released the first standardized open-access database of geochemical, petrophysical, and mechanical rock properties for Germany's crystalline basement, compiling ...
Rock physics analysis of two Niger Delta wells shows that shale volume, not hydrocarbons or burial depth, explains a 350 ...
A new comparative study tests four Markov Chain Monte Carlo algorithms on synthetic and real Venezuelan oilfield data, showing that ...
A new integrated geophysical and sedimentological study maps shallow, laterally continuous oil sand deposits in Nigeria's Eastern Dahomey Basin, revealing ...
An interpretable machine learning framework using Random Forest and SHAP analysis has delivered reliable permeability predictions for the tight, heterogeneous ...
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© 2025 Scienmag - Science Magazine