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Abstract The tight sandstone reservoir in a certain block of the Dagang Oilfield exhibits a dual-porosity structure, comprising nanoscale matrix pores (average diameter: 11.99 nm) and natural fractures (50–100 μm). A key challenge facing this formation is severe water sensitivity caused by a mixture of sodium feldspar and montmorillonite clays, which account for 56% of the total clay content.
Abstract Semantic segmentation models for autonomous driving suffer significant performance degradation under adverse weather and lighting conditions such as fog, rain, snow, and nighttime illumination. Existing approaches include restoration before segmentation and robustness-oriented adaptation or generalization; comparatively few use an image-derived degradation estimate as an explicit conditioning input to the segmentation network.
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