... a local low-rank regularization into LSM to estimate subsurface reectivity models. Numerical experiments for synthetic and _eld data demonstrate that the low-rank constraint outperforms conventional shaping and total-variation regularizations, and can produce high-quality reectivity images for complicated...

... geoscience & energy 10 source location velocity model automatic differentiation norm objective function exploration geophysicist regularization Physics-informed full waveform inversion using learned wave eld solutions Xinquan Huang*, Tariq Alkhalifah, Fu Wang, King Abdullah University of Science...

... Full waveform inversion (FWI) has great potential in reconstructing high-resolution subsurface models. However, due to limitations in observation, this inverse problem is highly ill-posed, especially for recovering a 3D velocity model. To solve this problem, regularization is often used, like...

... geological subdiscipline representation regularization seismic inversion american association exploration geophysicist applied geoscience & energy 10 inverse problem dataset regularization term impedance model inversion machine learning seismic data post-stack seismic inversion geophysics...

... regularization using diffusion models. Specifically, we first train the (unsupervised) diffusion model to understand the coupling relationship of the distribution of the elastic parameters and use the trained model in the inversion process with a negligible additional computational cost. To fully realize...

... of regularized post-stack seismic inversions, independently performed for each petrophysical parameter of interest. This study focuses on assessing the benefit of including i) bounds (given that petrophysical parameters represent percentages and, therefore, must be limited between 0 and 1) and ii) novel model...

... Onshore surveys are rarely regular. Populated and urban areas present problems in the deployment of receivers, and the location of sources. Even outside these environments, the terrain often leads to irregular deployment of sources and receivers. While the development of nodal systems (Dean et...

... original data local data pwd result noise square inversion tikhonov regularization applied geoscience & energy 10 constraint petroleum geology economic geology regularization anti-aliasing plane wave decomposition method suppress An anti-aliasing plane wave decomposition method based...

... Regularization is a significant aspect of Full Waveform Inversion (FWI), and a realistic prior introduced by the regularization can assist in reducing the non-linearity and ill-posedness of the inverse problem. Recently, generative diffusion models have demonstrated excellent performance...

... geologist united states government geology applied geoscience energy 10 upstream oil & gas reservoir characterization consideration exploration geophysicist regularization seet li yong david brooke regulation variability etienne marc society crossline duncan bate figure 3 simon dean...

... isotropic (VTI) media. We implement the method with layer stripping, frequency continuation, and total-variation regularization. We demonstrate the efficacy of our workflow with the successful reconstruction of the Valhall model from longoffset data using surface multiples, crude starting models...

... joint 4D FWI method using ETM and adaptive model regularization can invert for accurate baseline and monitor velocity models simultaneously and FDRs derived from these inverted models can be directly used to assess the 4D differences. geologist africa government full-waveform inversion nigeria...

... Advancements in geophysical inverse problem-solving are crucial for extracting reliable information and quantifying uncertainties. Traditional regularization techniques are instrumental in stabilizing these ill-posed problems, imposing additional constraints to control solution non-uniqueness...

... Seismic deconvolution encounters problems of multiplicity and instability. The regularization technique based on various prior knowledge is used to constrain the range of solutions and improve the stability of deconvolution results. We use dictionary learning as a technical means to consider...

... Presence of gas causes anomalous anelastic attenuation in porous rocks. Instantaneous frequency seismic attribute could detect the frequency anomaly, but its sensitivity to noise makes the attribute near useless. Tikhonov regularization can be used to stabilize the attribute, making it a useful...

... of the inversion. One effective approach is to introduce model regularization such as mathematical constraints (Total-Variation regularization) or structure-oriented constraints. Nonetheless, the effectiveness of the structure-oriented method heavily relies on the accuracy of the reflection angle and is limited...

... that the neural network can capture spatial correlations at different scales and thus can introduce regularization in our inverse problem. The regularization is enough to mitigate the cross-talk problem in elastic FWI and also produce good results in areas with low illumination. upstream oil & gas...

... but was not presented at IMAGE 2022 in Houston, Texas. resource in place estimate regularization tv regularization estimates of resource in place inversion reserves evaluation artificial intelligence conductivity upstream oil & gas reservoir characterization waveform inversion exploration...

... implementation optimization algorithm layered media regularization inversion manifold totalenergies research representation modeling exploration geophysicist applied geoscience energy 10 Generative modeling for inverse problems Rami Nammour, TotalEnergies Research and Technology SUMMARY This work...

... energy 10 upstream oil & gas resolution impedance reflection coefficient regularization seismic model international american association acoustic impedance artificial intelligence society qingrong zhu seismic resolution interpretation exploration geophysicist application...