Moreover, our SwinV2-Unet enables a highly efficient and accurate facies analysis of the complex yet informative image logs, significantly advancing our understanding of hydrocarbon reservoirs, saving human effort, and improving productivity.Nan You...
MST-UNet is based on symmetric encoder–decoder network. We use CNN and Swin Transformer blocks to extract features from input images and capture the interdependence among different pixels, respectively. More attention is paid to global information of images. By four times upsampling to obtain ...
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