In this article, we propose a multitask seismic facies interpretation network based on super-resolution (SR) learning, named SRSS-Net (Super-Resolution Semantic Segmentation network). It consists of ...

Abstract: Seismic facies classification is pivotal for analyzing geological environments and predicting reservoirs. The transformer architecture has been widely applied in seismic facies ...

Using cutting-edge experiments and innovative models, the research reveals that slow, silent stress release is a prelude and a necessary trigger for seismic activity. By incorporating the ...

Today in the 21st century, humanity has access to a suite of tools that allows us to identify the sites of geological activity, from global seismic monitoring stations, to a swarm of Earth-monitoring ...