Accelerated 3-D full-waveform inversion using simultaneously encoded sources in the time domain: application to Valhall ocean-bottom cable data

TL;DR: In this paper, a 3D frequency-domain full waveform inversion (FWI) was applied to ocean-bottom cable data from the Valhall oil field in the visco-acoustic vertical transverse isotropic (VTI) approximation.

TL;DR: The use of full waveform inversion (FWI) for imaging Earth's interior was introduced in the late 1970s and has become feasible for a wide range of applications and is currently used across nine orders of magnitude in frequency and wavelength.

TL;DR: In this article, the authors proposed a linearized differential approach based on the Newton equation for a least-squares misfit function for high-resolution seismic imaging, where gradient vectors and Hessian matrix approximations can be considered for the related Newton equation.

TL;DR: This work implemented GPU-based full-waveform inversion using the wavefield reconstruction strategy, and adopted the Clayton-Enquist absorbing boundary to maintain the efficiency of the GPU computation.

TL;DR: This review attempts to illuminate the state of the art of FWI by building accurate starting models with automatic procedures and/or recording low frequencies, and improving computational efficiency by data-compression techniquestomake3DelasticFWIfeasible.

TL;DR: In this article, a multiplicity of factors influence seismic reflection coefficients and the observed gravity of typical sedimentary rocks, including the mineral composition and the granular nature of the rock matrix, cementation, porosity, fluid content, and environmental pressure.

TL;DR: In this article, a frequency-space domain approach to waveform inversion is presented, which is a local descent algorithm that proceeds from a starting model to refine the model in order to reduce the waveform misfit between observed and model data.

TL;DR: The multigrid method is a technique that improves the performance of iterative inversion by decomposing the problem by scale as mentioned in this paper, where at long scales there are fewer local minima and those that remain are further apart from each other.