Seismic full-waveform inversion (FWI) is a nonlinear computational imaging technique that can provide detailed estimates of subsurface geophysical properties. Solving the FWI problem be challenging due to its ill-posedness and high cost. In this work, we develop new hybrid approach solve combines physics-based models with data-driven methodologies. particular, data augmentation strategy not onl...

Full waveform inversion (FWI) plays a central role in the field of exploration geophysics due to its potential recovering properties subsurface at high resolution. A starting model with ample long wavelength components is essential for success most FWI algorithms. Reflection (RWI) one popular way invert velocity from short offset seismic data by decomposing gradient into migration and tomograph...

Accurate and efficient reconstruction of hidden geological structures under the surface is main task high-resolution Velocity Model Building (VMB). The most commonly used methods in practice are Tomography Full Waveform Inversion (FWI), which rely heavily on initial model. Recently, deep learning types have received widespread attention performed well many tasks such as image segmentation class...

We propose a formulation of full-wavefield inversion (FWI) as a constrained optimization problem, and describe a computationally efficient technique for solving constrained full-wavefield inversion (CFWI). The technique is based on using a total-variation regularization method, with the regularization weighted in favor of constraining deeper subsurface model sections. The method helps to promot...

With global warming, Arctic sea ice, as one of the important factors regulating climate, has put forward new requirements for research. At present, ground penetrating radar (GPR) is a powerful tool to obtain structure ice. Traditional offset imaging techniques no longer meet research requirements, and two-parameter full waveform inversion (FWI) method received widespread attention. To solve hig...

We present a massively parallel algorithm for distributed-memory platform to perform 2D acoustic frequency-domain Full-Waveform Inversion (FWI) of global offset seismic data. Our code is written in Fortran 90 and uses Message Passing Interface (MPI) for parallelism. The linearized inverse problem is solved by a classical gradient method which consists in finding a model perturbation which minim...

We show an extensive multimethod geophysical study of focusing on some enigmatic subsurface structures found at Ancient Aigeira (N Peloponnes, Greece) that could be interpreted either as prehistoric chamber tombs or complex weathering patterns the local marl–conglomerate rock sequences. It turns out nonseismic methods do not allow to distinguish between archaeological and a geological origin ob...

Background The Iberian Peninsula is recurrently affected by severe wildfires resulting from an interplay of human activities, landscape features and atmospheric conditions.Aims role played conditions on wildfire activity in 2001–2020 assessed four pyroregions the Peninsula.Methods Wildfire characterised Fire Radiative Power (FRP) meteorological danger rated Weather Index (FWI). distribution log...

The internal geometry of a wind instrument can be estimated from acoustic measurements. For woodwind instruments, this involves characterizing the inner shape (bore) but also side holes (dimensions and location). In study, geometric parameters are recovered by gradient-based optimization process, which minimizes deviation between simulated measured linear responses resonator for several fingeri...