专题：Seismic Imaging and Inversion Techniques

This cluster of papers focuses on seismic waveform inversion in exploration geophysics, covering topics such as full-waveform tomography, elastic properties of rocks, frequency-dependent anisotropy, seismic data processing, and inverse problems. The papers also discuss the application of adjoint methods, rock physics, and wave equation migration in the context of geophysical imaging.
最新文献
In an Ocean or a River: Bilinear Auto-Bäcklund Transformations and Similarity Reductions on an Extended Time-Dependent (3+1)-Dimensional Shallow Water Wave Equation

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Anisotropic resistivity estimation and uncertainty quantification from borehole triaxial electromagnetic induction measurements: Gradient-based inversion and physics-informed neural network

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MS-CGAN: Fusion of conditional generative adversarial networks and multi-scale spatio-temporal features for lithology identification

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Integrating Kalman filter noise residue into U-Net for robust image denoising: the KU-Net model

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Laboratory investigation on fracture initiation and propagation behaviors of hot dry rock by radial borehole fracturing

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Seismic Unconformity Estimation via ECA-UNet++ With Physical Knowledge Constrained Synthetic Data

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Time-arrival pickup method of tunnel water inrush microseismic signals based on kurtosis value and AIC method

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A novel approach to classify lithology of reservoir formations using GrowNet and Deep‐Insight with physic‐based feature augmentation

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A review of machine learning applications to geophysical logging inversion of unconventional gas reservoir parameters

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Subsurface Imaging in Urban Areas With Ambient Noise Using DAS and Seismometer Data Sets: Granada, Spain

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近5年高被引文献
Model reduction for nonlinear dynamical systems using deep convolutional autoencoders.

article Full Text OpenAlex 670 FWCI0

Deep Learning for Geophysics: Current and Future Trends

article Full Text OpenAlex 442 FWCI43.60100472

Deep-learning seismology

review Full Text OpenAlex 390 FWCI76.36153991

Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions

article Full Text OpenAlex 324 FWCI59.78291297

A Review of Hydraulic Fracturing Simulation

review Full Text OpenAlex 279 FWCI20.39567282

Differentiable modelling to unify machine learning and physical models for geosciences

review Full Text OpenAlex 278 FWCI75.7466268

Theory and practice of irregular sampling

book-chapter Full Text OpenAlex 272 FWCI35.2067185

Prediction of porous media fluid flow using physics informed neural networks

article Full Text OpenAlex 207 FWCI18.36416826

CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising

article Full Text OpenAlex 180 FWCI55.01178382

Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks

article Full Text OpenAlex 180 FWCI22.6968773