GPYSA7 0016-8033 Abstract Web of Science Google Scholar Charara, 2009, The domain of applicability of acoustic full-waveform inversion for marine seismic data: Geophysics, 74, no. 6, WCC91–WCC103, doi: 10.1190/1.3250269.
#INCOMPLETE GAUSS NEWTON INVERSION RES2DINV FULL#
Virieux, 2013, Regularized seismic full waveform inversion with prior model information: Geophysics, 78, no. 2, R25–R36, doi: 10.1190/geo2012-0104.1. Then, we determine that our method can simultaneously invert for elastic parameters in the presence of complex uncorrelated structures, inaccurate background models, and Gaussian noisy data. Through numerical experiments, we first examine the consequences of the acoustic approximation on elastic data, leading to inaccurate parameter inversion as well as to artificial reflector inclusion. Finally, we simultaneously invert for the physical parameters using a weighted least-squares method. We then apply a Radon transform to the results of the first step to calculate the angle-dependent response. First, we replace the acoustic Green’s functions by their elastic version, without modifying the structure of the original pseudoinverse Born operator. We restrict the extension to marine environments, with the recording of pressure waves at the receiver positions. To solve this problem, we have extended the pseudoinverse Born operator from acoustic to elastic media to account for the elastic amplitudes of PP reflections and provide an estimate of physical density P- and S-wave impedance models. However, these are based on the acoustic approximation, leading to possible inaccurate amplitude predictions as well as the ignorance of S-wave effects.
To accelerate the convergence rate, various pseudoinverse Born operators have been proposed, providing quantitative results within a single iteration, while having roughly the same computational cost as reverse time migration. Its successful application requires many migration/modeling cycles. Elastic least-squares reverse time migration is a state-of-the-art linear imaging technique used to retrieve high-resolution quantitative subsurface images.
0 kommentar(er)
