Geophysics

Papers
(The median citation count of Geophysics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis75
Detection of road cavities in urban cities by 3D ground-penetrating radar68
Petrophysical properties prediction from prestack seismic data using convolutional neural networks67
Mapping full seismic waveforms to vertical velocity profiles by deep learning65
Deep-learning seismic full-waveform inversion for realistic structural models62
An unsupervised deep-learning method for porosity estimation based on poststack seismic data60
Seismic data interpolation based on U-net with texture loss58
A convolutional neural network approach to deblending seismic data56
Application of machine learning to microseismic event detection in distributed acoustic sensing data54
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks53
Deep learning for multidimensional seismic impedance inversion52
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion51
Fast imaging of time-domain airborne EM data using deep learning technology47
Uncertainty quantification in fault detection using convolutional neural networks47
Physics-driven deep-learning inversion with application to transient electromagnetics47
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery40
Automatic seismic facies interpretation using supervised deep learning39
Evidence-based guidelines for protective actions and earthquake early warning systems39
Modeling of fiber-optic strain responses to hydraulic fracturing38
Reparameterized full-waveform inversion using deep neural networks38
ML-descent: An optimization algorithm for full-waveform inversion using machine learning37
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification37
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach37
Near-surface imaging from traffic-induced surface waves with dense linear arrays: An application in the urban area of Hangzhou, China35
Automatic fault detection on seismic images using a multiscale attention convolutional neural network35
Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach35
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals35
Lithology identification from well-log curves via neural networks with additional geologic constraint33
A robust first-arrival picking workflow using convolutional and recurrent neural networks32
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples31
Bayesian petroelastic inversion with multiple prior models30
Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks30
The W transform30
Nonstationary predictive filtering for seismic random noise suppression — A tutorial29
Model parameterization and amplitude variation with angle and azimuthal inversion in orthotropic media27
DESMEX: A novel system development for semi-airborne electromagnetic exploration27
Physics-constrained deep learning for ground roll attenuation27
Removal of multisource noise in airborne electromagnetic data based on deep learning27
On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches26
Automated arrival-time picking using a pixel-level network26
Azimuthal Fourier coefficient inversion for horizontal and vertical fracture characterization in weakly orthorhombic media26
Minibatch least-squares reverse time migration in a deep-learning framework25
3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh25
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition25
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network24
An improved method for lithology identification based on a hidden Markov model and random forests24
Distributed acoustic sensing for near-surface imaging using submarine telecommunication cable: A case study in the Trondheimsfjord, Norway24
Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data24
Unsupervised deep learning for 3D interpolation of highly incomplete data24
An open-source framework for the implementation of large-scale integral operators with flexible, modern high-performance computing solutions: Enabling 3D Marchenko imaging by least-squares inversion24
IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data24
Surface-wave dispersion spectrum inversion method applied to Love and Rayleigh waves recorded by distributed acoustic sensing23
Optimization-inspired deep learning high-resolution inversion for seismic data23
Extended-space full-waveform inversion in the time domain with the augmented Lagrangian method23
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder23
Variational inference in Bayesian neural network for well-log prediction23
Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks23
A gradient-based Markov chain Monte Carlo method for full-waveform inversion and uncertainty analysis22
Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations22
Target-oriented waveform redatuming and high-resolution inversion: Role of the overburden22
Fracture properties estimation using distributed acoustic sensing recording of guided waves in unconventional reservoirs22
Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks22
Seismic inversion via closed-loop fully convolutional residual network and transfer learning22
Dealiased seismic data interpolation using a deep-learning-based prediction-error filter22
Azimuthal amplitude variation with offset parameterization and inversion for fracture weaknesses in tilted transversely isotropic media21
Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness21
Comparison of monotonicity challenges encountered by the inverse scattering series and the Marchenko demultiple method for elastic waves21
Marchenko redatuming, imaging, and multiple elimination and their mutual relations21
Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys21
Geophysical pore type inversion in carbonate reservoir: Integration of cores, well logs, and seismic data (Yadana field, offshore Myanmar)21
Denoising of distributed acoustic sensing data using supervised deep learning21
Near-field strain in distributed acoustic sensing-based microseismic observation21
ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images21
A review of spectral analysis of magnetic data for depth estimation21
A MATLAB code package for 2D/3D local slope estimation and structural filtering20
Target-oriented time-lapse waveform inversion using deep learning-assisted regularization20
Seismic characterization of fractured reservoirs with elastic impedance difference versus angle and azimuth: A low-frequency poroelasticity perspective20
3D finite-volume time-domain modeling of geophysical electromagnetic data on unstructured grids using potentials20
Progressive transfer learning for low-frequency data prediction in full-waveform inversion20
Multiparameter seismic elastic full-waveform inversion with combined geophone and shaped fiber-optic cable data20
Estimating subsurface properties using a semisupervised neural network approach19
Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks19
Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning19
Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data19
Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set19
Robust vector median filtering with a structure-adaptive implementation19
Modeling and interpretation of scattered waves in interstage distributed acoustic sensing vertical seismic profiling survey19
Migration using sea surface-related multiples: Challenges and opportunities19
Seismic velocity inversion transformer19
An efficient multigrid solver based on a four-color cell-block Gauss-Seidel smoother for 3D magnetotelluric forward modeling19
Seismic horizon extraction with dynamic programming19
Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data18
Stochastic perturbation optimization for discrete-continuous inverse problems18
Dictionary learning with convolutional structure for seismic data denoising and interpolation18
VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks18
Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operator18
Self-constrained inversion of potential fields through a 3D depth weighting18
Imposing interpretational constraints on a seismic interpretation convolutional neural network18
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction18
Gravity inversion for heterogeneous sedimentary basin with b-spline polynomial approximation using differential evolution algorithm18
Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification17
Modeling extra-deep electromagnetic logs using a deep neural network17
Investigation of cable effects in spectral induced polarization imaging at the field scale using multicore and coaxial cables17
Seismic inversion of shale reservoir properties using microseismic-induced guided waves recorded by distributed acoustic sensing17
Geophysical inversion for 3D contact surface geometry17
Deep learning a poroelastic rock-physics model for pressure and saturation discrimination17
Unsupervised seismic facies classification using deep convolutional autoencoder17
Applications of deep neural networks in exploration seismology: A technical survey17
Deep learning for multitrace sparse-spike deconvolution17
Elastic least-squares reverse time migration based on decoupled wave equations17
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation17
PP-wave reflection coefficient in stress-induced anisotropic media and amplitude variation with incident angle and azimuth inversion17
Multiparameter full-waveform inversion of 3D ocean-bottom cable data from the Valhall field17
Bayesian full-waveform inversion with realistic priors16
Wavefield decomposition in arbitrary direction and an imaging condition based on stratigraphic dip16
Electrical imaging of hydraulic fracturing fluid using steel-cased wells and a deep-learning method16
Robust high-dimensional seismic data interpolation based on elastic half norm regularization and tensor dictionary learning16
Sinkhole detection with 3D full seismic waveform tomography16
Reconstruction of irregular missing seismic data using conditional generative adversarial networks16
3D borehole-to-surface and surface electromagnetic modeling and inversion in the presence of steel infrastructure16
Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms16
Experimental assessment of the stress-sensitivity of combined elastic and electrical anisotropy in shallow reservoir sandstones16
Decoupled approximation and separate extrapolation of P- and SV-waves in transversely isotropic media16
Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multitrace Bayesian amplitude-variation-with-offset petrophysics inversion in multiporosity reservoirs15
A method for adequate selection of training data sets to reconstruct seismic data using a convolutional U-Net15
Cavity detection by SH-wave full-waveform inversion — A reflection-focused approach15
Blind sparse-spike deconvolution with thin layers and structure15
Least-squares reverse time migration with a multiplicative Cauchy constraint15
Three-dimensional magnetotelluric numerical simulation of realistic geologic models15
Estimation of the top of the saturated zone from airborne electromagnetic data15
Passive multichannel analysis of surface waves using 1D and 2D receiver arrays15
3D seismic characterization of fractures using elastic P-to-S double beams15
Building adjoint operators for least-squares migration using the acoustic wave equation15
Data-driven multichannel poststack seismic impedance inversion via patch-ordering regularization15
Mimetic finite-difference coupled-domain solver for anisotropic media15
Seismic denoising via truncated nuclear norm minimization15
Central-difference time-lapse 4D seismic full-waveform inversion15
Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data15
Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data15
Accelerating seismic scattered noise attenuation in offset-vector tile domain: Application of deep learning15
Amplitude-variation-with-offset inversion using P- to S-wave velocity ratio and P-wave velocity15
An lp-space matching pursuit algorithm and its application to robust seismic data denoising via time-domain Radon transforms15
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks15
Modeling viscoacoustic wave propagation using a new spatial variable-order fractional Laplacian wave equation15
Improving the image quality of elastic reverse-time migration in the dip-angle domain using deep learning14
Cross-streamer wavefield reconstruction through wavelet domain learning14
Interpolated multichannel singular spectrum analysis: A reconstruction method that honors true trace coordinates14
Gaussian mixture model deep neural network and its application in porosity prediction of deep carbonate reservoir14
Direct updating of rock-physics properties using elastic full-waveform inversion14
Attenuation methods for quantifying gas saturation in organic-rich shale and tight gas formations14
Automatic geologic fault identification from seismic data using 2.5D channel attention U-net14
A novel and efficient engine for P-/S-wave-mode vector decomposition for vertical transverse isotropic elastic reverse time migration14
Full-waveform inversion with borehole constraints for elastic VTI media14
Joint use of multiseismic information for lithofacies prediction via supervised convolutional neural networks14
Least-squares reverse time migration of multiples in viscoacoustic media14
A new generalized stiffness reduction method for 2D/2.5D frequency-domain seismic wave modeling in viscoelastic anisotropic media13
Self-supervised time-frequency representation based on generative adversarial networks13
3D electromagnetic modeling of graphitic faults in the Athabasca Basin using a finite-volume time-domain approach with unstructured grids13
Inversion of vehicle-induced signals based on seismic interferometry and recurrent neural networks13
Decoupled Fréchet kernels based on a fractional viscoacoustic wave equation13
Wave characteristics in elliptical orthorhombic media13
Retrieval of shallow S-wave profiles from seismic reflection surveying and traffic-induced noise13
3D inversion of time-domain electromagnetic data using finite elements and a triple mesh formulation13
Anisotropic dynamic and static mechanical properties of organic-rich shale: The influence of stress13
Complete and representative training of neural networks: A generalization study using double noise injection and natural images13
Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the 13
A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion13
Building large-scale density model via a deep-learning-based data-driven method13
Noise types and their attenuation in towed marine seismic: A tutorial13
Temperature, differential pressure, and porosity inversion for ultradeep carbonate reservoirs based on 3D rock-physics templates13
Least-squares reverse time migration via deep learning-based updating operators13
Porosity and permeability prediction using a transformer and periodic long short-term network13
Simulation of thermoelastic waves based on the Lord-Shulman theory13
Least-squares reverse time migration using convolutional neural networks13
Diffraction-angle filtering of gradient for acoustic full-waveform inversion12
Stress-dependent elasticity and wave propagation — New insights and connections12
Frequency-dependent AVO analysis: A potential seismic attribute for thin-bed identification12
Time-lapse seismic data reconstruction using compressive sensing12
Automatic seismic phase picking based on unsupervised machine-learning classification and content information analysis12
Testing of a permanent orbital surface source and distributed acoustic sensing for monitoring of unconventional reservoirs: Preliminary results from the Eagle Ford Shale12
Full reciprocity-gap waveform inversion enabling sparse-source acquisition12
3D aquifer characterization of the Hermalle-sous-Argenteau test site using crosshole ground-penetrating radar amplitude analysis and full-waveform inversion12
Experimental study of temperature change effect on distributed acoustic sensing continuous measurements12
Machine-learning-based data recovery and its contribution to seismic acquisition: Simultaneous application of deblending, trace reconstruction, and low-frequency extrapolation12
Bayesian magnetotelluric inversion using methylene blue structural priors for imaging shallow conductors in geothermal fields12
Deep Bayesian inference for seismic imaging with tasks12
Model reduction in geostatistical seismic inversion with functional data analysis12
Geologic forward prospecting using improved tunnel-seismic-while-drilling method: A case study of the water supply project at Songhua River, Jilin, China12
Robust AVO inversion for the fluid factor and shear modulus12
Localizing microseismic events on field data using a U-Net-based convolutional neural network trained on synthetic data12
Eliminating above-surface diffractions from ground-penetrating radar data using iterative Stolt migration12
Ray-illumination compensation for adjoint-state first-arrival traveltime tomography12
Nonstationary local signal-and-noise orthogonalization12
Tensorial elastodynamics for isotropic media12
Data and model dual-driven seismic deconvolution via error-constrained joint sparse representation11
6D phase-difference attributes for wide-azimuth seismic data interpretation11
3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements11
5D dealiased seismic data interpolation using nonstationary prediction-error filter11
Least-squares Gaussian beam migration in viscoacoustic media11
Reducing error accumulation of optimized finite-difference scheme using the minimum norm11
Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework11
3D inversion of magnetotelluric data by using a hybrid forward-modeling approach and mesh decoupling11
Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier11
Convolutional sparse coding for noise attenuation in seismic data11
Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data11
Implementation of the Marchenko multiple elimination algorithm11
Method for obtaining response functions from noisy magnetotelluric data using frequency-domain independent component analysis11
An accurate analytical model for squirt flow in anisotropic porous rocks — Part 1: Classical geometry11
Intelligent random noise modeling by the improved variational autoencoding method and its application to data augmentation11
Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway11
Estimating infiltration front depth using time-lapse multioffset gathers obtained from ground-penetrating-radar antenna array11
Generalized neural network trained with a small amount of base samples: Application to event detection and phase picking in downhole microseismic monitoring11
Prestack diffraction separation in the common virtual source gather11
Solution of large-scale 3D controlled-source electromagnetic modeling problem using efficient iterative solvers11
Innovative seismic imaging of volcanogenic massive sulfide deposits, Neves-Corvo, Portugal — Part 1: In-mine array11
Extraction of diffractions from seismic data using convolutional U-net and transfer learning11
Joint seismic and petrophysical nonlinear inversion with Gaussian mixture-based adaptive regularization11
Improved estimation of ice and water contents in alpine permafrost through constrained petrophysical joint inversion: The Hoher Sonnblick case study11
Data-driven fast prestack structurally constrained inversion10
Near-surface full-waveform inversion in a transmission surface-consistent scheme10
Nonstationary local time-frequency transform10
High-resolution seismic acoustic impedance inversion with the sparsity-based statistical model10
Seismic velocity model building using neural networks: Training data design and learning generalization10
Magnetic resonance tomography constrained by ground-penetrating radar for improved hydrogeophysical characterization10
Imaging subsurface orebodies with airborne electromagnetic data using a recurrent neural network10
Seismic multiple suppression based on a deep neural network method for marine data10
An analytic signal-based accurate time-domain viscoacoustic wave equation from the constant-Q theory10
Challenges in shallow target reconstruction by 3D elastic full-waveform inversion — Which initial model?10
A Bayesian multivariate model using Hamiltonian Monte Carlo inference to estimate total organic carbon content in shale10
Markov chain Monte Carlo for petrophysical inversion10
Elastic FWI for orthorhombic media with lithologic constraints applied via machine learning10
Correlations between the static and anisotropic dynamic elastic properties of lacustrine shales under triaxial stress: Examples from the Ordos Basin, China10
Applied 3D salt body reconstruction using shape optimization with level sets10
Uncertainty and interpretability analysis of encoder-decoder architecture for channel detection10
Least-squares reverse time migration with sparse regularization in the 2D wavelet domain10
A deep learning-enhanced framework for multiphysics joint inversion10
MATLAB codes for generating dispersion images for ground exploration using different multichannel analysis of surface wave transforms10
An improved seismic data completion algorithm using low-rank tensor optimization: Cost reduction and optimal data orientation10
Crosscorrelation migration of microseismic source locations with hybrid imaging condition10
Seismic complex ray tracing in 2D/3D viscoelastic anisotropic media by a modified shortest-path method10
Physics-driven self-supervised learning system for seismic velocity inversion10
Microseismic moment-tensor inversion and sensitivity analysis in vertically transverse isotropic media10
Perturbation of phase velocities in elastic orthorhombic media10
Least-squares inversion-based elastic reverse time migration with PP- and PS-angle-domain common-imaging gathers10
Adaptive 27-point finite-difference frequency-domain method for wave simulation of 3D acoustic wave equation10
Parsimonious truncated Newton method for time-domain full-waveform inversion based on the Fourier-domain full-scattered-field approximation10
Digital rock physics applied to squirt flow10
On the electromagnetic response of complex pipeline infrastructure10
Three-dimensional controlled-source electromagnetic forward modeling by edge-based finite element with a divergence correction10
3D fault detection: Using human reasoning to improve performance of convolutional neural networks10
0.070441007614136