... zero-type regularization lawi information depth reservoir characterization inversion time geophysics upstream oil & gas distance gabor deconvolution international robust localized adaptive waveform inversion american association iteration Robust localized adaptive waveform...

..., reveals very low S-wave velocities in the near surface layers and S-wave increase with depth. Both of these observations are consistent with unconsolidated sediments and S-wave velocities observed in other parts of the Netherlands (Groningen). constrain american association correlogram iteration...

... in the objective function, the Iterative Shrinkage-Thresholding Algorithm (ISTA) to solve for the deblended model, and time-variant local 3D FK transform to promote sparsity. Some pointers for improving deblending performance on field data are provided as well. expanded abstract applied geoscience fk...

... polytechnique iteration Velocity estimation via model order reduction Alexander V. Mamonov*, University of Houston; Liliana Borcea, University of Michigan; Josselin Garnier, Ecole Polytechnique; and Jo¨rn Zimmerling, University of Michigan SUMMARY THEORY A novel approach to full waveform inversion (FWI...

... iteration upstream oil & gas lippmann-schwinger equation step 1 step 2 biondi wavefield inversion frequency international algorithm lippmann-schwinger equation constraint rahul sarkar reservoir characterization algorithm 1 vector equation waveform inversion applied geoscience american...

... in optimal transport problems. Determining the KR distance in multi-dimensional (multi-trace) optimal transport is tractable, but computationally expensive for many iterations and so we demonstrate an efficient implementation using a preconditioned LSQR approach together with the proximal splitting...

...-dimensional deconvolution luiken reservoir characterization wavefield american association mdd geophysics utrecht university reconstruction upstream oil & gas international inversion applied geoscience vasconcelo iteration Physics-based preconditioned multi-dimensional deconvolution...

... estimates in FWI appears to be stable, and to have a strong positive impact especially for correlated data noise. iteration misfit artifact american association reservoir characterization spectra inversion frequency society noise fwi estimation international autocovariance upstream oil...

... bottom nodes. The former is parameterized with a receiver density function that determines the number of receivers per unit area. We optimize this receiver density function through an iterative gradient descent scheme that minimizes the difference between the image obtained with the current acquisition...

... can compensate for attenuation effects during the iterative process to avoid the instability caused by high-frequency noise. The numerical results show that the proposed method can compensate the amplitude loss and phase distortion caused by attenuation, and correct the inaccurate position...

... is characterized by Gaussian prior. In addition, the sparsity of the clean data is given by the Laplace prior. Via alternative iterations, the parameters can be solved effectively. The effectiveness of our method is presented using synthetic and field examples. upstream oil & gas reservoir...

...-waveform inversion wavelet international application applied geoscience iteration peterie fwi exploration geophysicist miller graph-space optimal energy 10 expanded abstract Graph-space optimal transport-based 3D elastic FWI for near-surface seismic applications Dmitry Borisov*1, Richard D...

... migration and posterior images. artificial intelligence schuster posterior probability inversion machine learning efficient physics-informed bayesian inversion upstream oil & gas reservoir characterization iteration american association applied geoscience green international...

... deblurred data residuals are then used as initial guess for their iterative refinement with a conjugate gradient (CG) method. Numerical tests validate the proposed scheme for accurate reconstruction of contrasted media starting from a crude initial model at the cost of two additional simulations per source...

..., a critical point for iterative deblending is that little to no blending interference should leak into the signal space at the end of each iteration of the inversion. The non-Gaussian character of the blending noise points to denoisers that have strong noise reduction capabilities associated with robust...

... on the DIP. upstream oil & gas reservoir characterization recursive dip artificial intelligence dip exploration geophysicist international neural network machine learning criterion iteration attenuated noise presented snr noise noise attenuation applied geoscience american...

... that aims at improving the quality of a given randomized subsampling using a simulated annealing algorithm that iteratively increases the spectral gap of the subsampling mask, a property recently linked to the quality of the reconstruction. We demonstrate that our proposed method improves the data...

... We propose a fast and accurate method to estimate the radius of non-stationary triangle smoothing for matching two seismic datasets. The smoothing radius is estimated by non-linear least-squares inversion using an iterative Gauss– Newton approach. We derive and implement the derivative...

... figure 2 estimation inversion r-fwi reflectivity iteration waveform inversion international applied geoscience mikhail davydenko wavekoda delft university upstream oil & gas equation american association reflection waveform inversion crosstalk algorithm energy 10 Re ection waveform...

... in the data. upstream oil & gas constraint ogunbo exploration geophysicist applied geoscience seismic model coefficient reflection coefficient american association reservoir characterization international iteration noise energy 10 multi-physics inversion inversion gramian gramian...