Results 11 to 20 of about 40,267 (242)
Accelerated Full Waveform Inversion by Deep Compressed Learning [PDF]
We propose and test a method to reduce the dimensionality of Full Waveform Inversion (FWI) inputs as a computational cost mitigation approach. Given modern seismic acquisition systems, the data (as an input for FWI) required for an industrial-strength ...
Maayan Gelboim +2 more
doaj +2 more sources
Full-waveform inversion imaging of the human brain [PDF]
Magnetic resonance imaging and X-ray computed tomography provide the two principal methods available for imaging the brain at high spatial resolution, but these methods are not easily portable and cannot be applied safely to all patients.
Lluís Guasch +4 more
doaj +2 more sources
High-Precision Corrosion Detection via SH1 Guided Wave Based on Full Waveform Inversion [PDF]
Corrosion detection for industrial settings is crucial for safe and efficient operations. Due to its high imaging resolution, the guided–wave full–waveform inversion tomography technique has significant potential for corrosion detection of plate metals ...
Jiawei Wen, Can Jiang, Hao Chen
doaj +2 more sources
Full-waveform inversion reveals diverse origins of lower mantle positive wave speed anomalies [PDF]
Determining Earth’s structure is paramount to unravel its interior dynamics. Seismic tomography reveals positive wave speed anomalies throughout the mantle that spatially correlate with the expected locations of subducted slabs. This correlation has been
Thomas L. A. Schouten +6 more
doaj +2 more sources
An empirical study of large-scale data-driven full waveform inversion [PDF]
This paper investigates the impact of big data on deep learning models to help solve the full waveform inversion (FWI) problem. While it is well known that big data can boost the performance of deep learning models in many tasks, its effectiveness has ...
Peng Jin +7 more
doaj +2 more sources
Adaptive waveform inversion: theory [PDF]
Conventional full-waveform seismic inversion attempts to find a model of the subsurface that is able to predict observed seismic waveforms exactly; it proceeds by minimizing the difference between the observed and predicted data directly, iterating in a ...
Guasch, L, Warner, M
core +3 more sources
Progressive plug and play full waveform inversion with multitask learning [PDF]
The quality of low-frequency data and the initial model are crucial for robust seismic full waveform inversion (FWI). Some existing deep learning works only address one to improve the inversion accuracy.
Benwen Zhang, Linrong Wang
doaj +2 more sources
Recent progress on full waveform inversion
Full waveform inversion is an acoustic/elastic/anelastic wave equation-based high accuracy seismic imaging method for studying the Earth's interior structure.
Hejun Zhu, Qinya Liu, Jidong Yang
doaj +1 more source
Short-offset towed streamer data, and sparse ocean-bottom seismometer (OBS) data are not conducive to applying multi-parameter full waveform inversion (FWI) in production.
Tao Yang +4 more
doaj +1 more source
Adding Prior Information in FWI through Relative Entropy
Full waveform inversion is an advantageous technique for obtaining high-resolution subsurface information. In the petroleum industry, mainly in reservoir characterisation, it is common to use information from wells as previous information to decrease the
Danilo Santos Cruz +3 more
doaj +1 more source

