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Keywords: iteration
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100687
... reservoir characterization seismic record iteration workflow seismic data processing module geology noise applied geoscience & energy 10 sequence frequency geologist suppression amplitude american association attenuation sequence Self-parametrizing seismic data processing modules...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100817
... This paper presents a machine learning workflow to automatically determine the optimal thresholding values in the standard multi-stage iterative source separation with priors (MS-ISSP) for seismic deblending. From the frequency-wavenumber (FK) transform of seismic data with interference noise...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100866
... the wavenumber illumination of the subsurface medium. optimization problem sequential training fwi receiver acquisition training model geologist artificial intelligence survey design applied geoscience & energy 10 geology reservoir characterization iteration geometry american association...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100977
..., facilitating a much more automatic subsurface model building workflow. geologist artificial intelligence fwi iteration optimization problem optimization optimization method geology reservoir characterization model parameter local optimization inversion waveform inversion hybrid optimization...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101311
... space. Synthetic data examples demonstrate that our method is able to reliably reconstruct model parameters and quantify uncertainty with only 5,000 iterations. geologist neural network history matching inversion reservoir simulation reservoir characterization machine learning dataset...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4101713
...) setting where data transfer and I/O can be the bottleneck of the computation. We use Marmousi synthetic example to show that the proposed method can invert for background model and quantify uncertainties with only 20,000 forward modeling-only iterations. history matching bayesian inference...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-w12-01
... to be reduced by more than 80 dB, that is, a factor of 10,000, obtaining this separation quality requires an increased number of iterations, longer traces to be deblended, and double-precision floating point numbers to be used. The cost of deblending high blending fold data might be increased, but the improved...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089651
... Inversion deblending routines typically require many internal iterations along with external looping with various parameters to achieve satisfactory results that can be used for further processing and imaging. In this paper we present a method to improve deblending results, while reducing run...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4090872
.... The latter is particularly true in several largescale seismic applications. One subproblem, the x-update, entails solving a large system of equations in each iteration of the ADMM solver. This research addresses two fundamental questions: the precision required in solving the aforementioned linear system...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091975
..., undo the effect of geometrical spreading, and enhance its resolution. A similar approach can be applied at each iteration of FullWaveform Inversion (FWI) by taking the FWI gradient as input to the demigration-migration process. By doing so, a more balanced update can be constructed whereby both...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093253
..., a self-supervised geophysical subsurface imaging approach (SS-GSI) is proposed to leverage multiple independent deep learning networks to predict the MPM based on the migration images and prior models. As a self-supervised learning procedure, the target-oriented datasets are iteratively created...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093301
... Deblending is the process of separating seismic data that have been acquired by firing one (or more) sources at reduced time intervals. State-of-the-art deblending algorithms iteratively project the unexplained part of the blended data into the solution space and add it to the current solution...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094210
... Receiver-based extension strategy introduces additional degrees of freedom to full waveform inversion, in order to improve the fit between the observed and calculated data at early iterations. This helps circumvent the cycle-skipping phenomenon. The additional degrees of freedom are the receiver...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094554
... of the FK domain that should not contain signal. The second enhancement is to apply thresholds in the process that are frequency-dependent instead of the original global threshold. This effectively allows more iterations for each frequency, improving the separation for the weaker portions of the data...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4095119
... exploration geophysicist full-waveform inversion legacy data extended abstract model building applied geoscience & energy 10 american association rock type reservoir characterization inversion annual international conference imaging bem re-imaging exhibition iteration Re-imaging of 2D...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098208
... to minimize the leakage from clock-drift inversion. reservoir characterization water velocity variation ocean bottom node processing geology constraint exploration geophysicist algorithm inversion two-term clock-drift inversion american association iteration geologist node position applied...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098910
... separately or vice versa. We show both synthetic and real data examples to demonstrate that our proposed method is a good alternative for input data with mixed curvatures. geologist curvature reconstruction side show reservoir characterization radon transformation iteration forward...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910542
... geologist artificial intelligence augmented lagrangian fwi exploration geophysicist matrix energy 10 iteration Accelerated augmented Lagrangian full-waveform inversion based on truncated randomized singular value decomposition Jiahang Li*1, Hitoshi Mikada1,2 and Junichi Takekawa1, 1Kyoto University...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910934
... introduce a deep learning workflow that uses Fourier neural operators (FNOs) to estimate corrections to velocity models from migrated images. The workflow is akin to traditional migration velocity analysis (MVA), but it uses a neural network in place of a back projection operator. It can iteratively make...

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