... a certainty map. This map quantifies the uncertainty of velocity updates, providing a significant measure of the FWI reliability. We found that the DTCIG-based method effectively quantifies FWI outcomes. Notably, the certainty map serves as an efficient preconditioner for the gradient derived from adjoint...

... We introduce a novel, computationally efficient model preconditioner, the guided filter, a multi-dimensional, structure-oriented, and edge-preserving filter, with a selfadjoint implementation which does not require a priori knowledge of the structural dip field. We show how to generalize...

... greatly reducing FE computation time. Our method is illustrated by modeling the CSEM responses of idealized fluid-bearing zones. united states government preconditioner american association geologist reservoir characterization simulator applied geoscience wellbore preconditioner...

.... This allows to successfully reconstruct the overburden-free reflection response beneath a complex salt body from noise-contaminated data. deconvolution preconditioner exploration geophysicist ravasi artificial intelligence multi-dimensional deconvolution physics-based preconditioned multi...

... artificial intelligence troy thompson velocity model inversion preconditioner applied geoscience convergence mrinal sinha gary hampson l-bfg gradient Reflection FWI with an augmented wave equation and quasi-Newton adaptive gradient scheme James McLeman*, Tim Burgess, Mrinal Sinha, Gary Hampson...

... lighter in memory and (CM) requires repeated solutions of the time-domain wave equation in scalable. However, dedicated preconditioners are required to converge a short time-window. these methods. The ef ciency of existing preconditioners quickly de- In this study, we investigate the CM method...

...Seismic Wave eld Processing with Deep Preconditioners Matteo Ravasi, King Abdullah University of Science and Technology (KAUST) SUMMARY is shown to outperform end-to-end learning in various appli- cations including seismic data reconstruction. Finally, Kong In the last decade, seismic wave eld...

... preconditioner upstream oil & gas iteration wavepath tomographic operator zero-offset wavepath dl 0 exploration geophysicist 10 full waveform inversion repositioning sin 2 facet depth-velocity coupling perturbation operator reflectivity sb 0 Accounting for the depth-velocity coupling...

...Least-squares reverse-time migration with a machine-learning-based denoising preconditioner Xuejian Liu*, Yuqing Chen and Lianjie Huang, Los Alamos National Laboratory, Los Alamos, NM 87545 Summary strategies are often adopted for LSRTM to accommodate Least-squares reverse-time migration (LSRTM...

... definiteness of the Helmholtz operator, on one side and on the discretization constraints in order to minimize the dispersion error for a given frequency, on the other side, hence requiring efficient preconditioners. In this study, we use the Krylov subspace GMRES iterative solver combined with a two-level...

... or fluid intrusion evaluation. A 2D FWI using monopole acoustic logging data is presented. The FWI is established in cylindrical coordinates instead of Cartesian coordinates in order to adapt to the borehole geometry. A preconditioner is designed for suppressing the influence of the strong borehole guided...

... preconditioner based on the depth image from the real data will be a more stable approach. The motivation to use slope as the only data component is that we believe after an anisotropic kinematic re-migration to re-modeling the ray-path in the updated model, the slope residual in the updated model is also...

... seg international exposition solver controllability method discretization reservoir characterization helmholtz equation frequency application sweeping preconditioner engquist wave equation preconditioner iteration annual meeting Appelo , D. , and T. Colonius , 2009...

... of the inverted velocity to the values of attenuation must be investigated. When velocity and attenuation Qp are simultaneously updated, the choice of the gradient preconditioner could influence the final result. Here, we perform visco-acoustic FWI of ocean bottom cable (OBC) dataset from the Valhall field...

...) use slope information (horizontal slowness) observed at the surface as the only data component. The motivation to add a PSDM in the classical work-flow is that we believe extracting preconditioner based on the depth image from the real data will be a more stable approach. The motivation to use slope...

... welford emed model preconditioner annual meeting marmousi acquisition inversion górszczyk fwi geophysics seg international exposition dataset inversion strategy inverted model multiscale full-waveform inversion strategy upstream oil & gas brossier frequency Brenders , A. J...

... . preconditioner matrix fast inversion artificial intelligence upstream oil & gas algorithm reservoir characterization seg seg international exposition annual meeting iteration number machine learning pcg algorithm conjugate gradient algorithm computer ftg data iteration pilkington inversion...

... international exposition equation inverse problem reservoir characterization application gauss-newton inversion zhdanov hessian matrix upstream oil & gas nonlinear geophysical inversion artificial intelligence data space inversion rgn method preconditioner rcg inversion annual meeting...

... ABSTRACT This paper introduces a novel approach to constructing an effective preconditioner for finite-difference (FD) electromagnetic modeling in geophysical applications based on an FD contraction operator, similar to one developed for integral equation formulation of Maxwell's equation...

... algorithm requires many iterations. In this paper, we develop and compare different preconditioning schemes for the CG algorithm to accelerate the HF Gauss-Newton method. Traditionally, the preconditioners are designed as diagonal Hessian approximations or inverse Hessian approximations. In this research...