A new seismic imaging method uses underground virtual sources instead of complex math.

Scientists want to map underground rock layers using surface vibrations, but standard methods rely on heavy math calculations to update subsurface models. Researchers created a new approach called Physical-Structure-Driven Waveform Inversion Imaging, or PSDWII. They recognized that surface sensors actually record signals from "virtual sources" created underground, rather than the rock parameters directly. To make this work, they split wave travel into three steps: sending an initial wave down, watching that wave hit underground variations to create virtual sources that shoot out secondary waves, and recording those secondary waves. Running the wave equations backward then directly projects where these virtual sources are. The team built three tools for different imaging tasks without building complex target functions, gradients, or Hessian inverses. They also used deconvolution and linear inversion to separate mixed rock properties, creating a physics-focused imaging system.

Why it matters

This helps geophysicists map underground structures more directly, which is crucial for finding oil, gas, or understanding earthquakes. It could make imaging faster and more accurate by avoiding heavy mathematical computations.

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