2014/10/26 by Musa Maharramov, Maharramov, Musa, Biondo Biondi +1
Computer Science · Earth and Planetary Sciences · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Optical Coherence Tomography Applications #Optical measurement and interference techniques #Seismic Imaging and Inversion Techniques
paper · pdf · doi:10.48550/arxiv.1410.6996
openalex publication_date 2014/10/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 promote "edge-preserving" blocky model inversion where fitting the seismic data alone fails to adequately constrain the model. The method is demonstrated on synthetic datasets with added noise, and is shown to enhance the sharpness of the inverted model and correctly reposition mispositioned reflectors by better constraining the velocity model at depth.