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 2020-01-01 to 2024-01-01.)
ArticleCitations
Deep denoising autoencoder for seismic random noise attenuation173
Building realistic structure models to train convolutional neural networks for seismic structural interpretation120
A theory-guided deep-learning formulation and optimization of seismic waveform inversion106
Extrapolated full-waveform inversion with deep learning88
Automatic velocity analysis using convolutional neural network and transfer learning76
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks75
Deep learning reservoir porosity prediction based on multilayer long short-term memory network69
Seismic trace interpolation for irregularly spatial sampled data using convolutional autoencoder68
Can learning from natural image denoising be used for seismic data interpolation?67
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis65
Seismic velocity estimation: A deep recurrent neural-network approach61
A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification60
Detection of road cavities in urban cities by 3D ground-penetrating radar56
Extracting horizon surfaces from 3D seismic data using deep learning55
A convolutional neural network approach to deblending seismic data54
Petrophysical properties prediction from prestack seismic data using convolutional neural networks54
Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow53
Deep-learning seismic full-waveform inversion for realistic structural models52
Mapping full seismic waveforms to vertical velocity profiles by deep learning51
A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data50
Iterative deblending for simultaneous source data using the deep neural network50
An unsupervised deep-learning method for porosity estimation based on poststack seismic data50
Seismic data interpolation based on U-net with texture loss48
Missing well log prediction using convolutional long short-term memory network47
Application of machine learning to microseismic event detection in distributed acoustic sensing data47
Improving the resolution of migrated images by approximating the inverse Hessian using deep learning45
Ground-roll attenuation using generative adversarial networks45
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks43
Deep learning for relative geologic time and seismic horizons42
High-resolution reservoir characterization using deep learning-aided elastic full-waveform inversion: The North Sea field data example41
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion41
Waveform embedding: Automatic horizon picking with unsupervised deep learning40
Uncertainty quantification in fault detection using convolutional neural networks40
Velocity model building in a crosswell acquisition geometry with image-trained artificial neural networks39
Modeling the seismic response of individual hydraulic fracturing stages observed in a time-lapse distributed acoustic sensing vertical seismic profiling survey39
Deep learning for multidimensional seismic impedance inversion38
Seismic attribute selection for machine-learning-based facies analysis38
Convolutional neural networks for microseismic waveform classification and arrival picking36
Physics-driven deep-learning inversion with application to transient electromagnetics36
Automatic seismic facies interpretation using supervised deep learning36
New acoustic approximation for transversely isotropic media with a vertical symmetry axis35
Fast imaging of time-domain airborne EM data using deep learning technology35
Modeling of fiber-optic strain responses to hydraulic fracturing34
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals33
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach33
Reparameterized full-waveform inversion using deep neural networks33
Characteristics of microseismic data recorded by distributed acoustic sensing systems in anisotropic media32
Diffraction separation and imaging using multichannel singular-spectrum analysis32
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery31
ML-descent: An optimization algorithm for full-waveform inversion using machine learning31
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification31
Evidence-based guidelines for protective actions and earthquake early warning systems30
Near-surface imaging from traffic-induced surface waves with dense linear arrays: An application in the urban area of Hangzhou, China29
Deep-learning electromagnetic monitoring coupled to fluid flow simulators29
Bayesian petroelastic inversion with multiple prior models28
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder28
A field data example of Marchenko multiple elimination28
3D diffraction imaging method using low-rank matrix decomposition27
Application of supervised descent method for 2D magnetotelluric data inversion27
A robust first-arrival picking workflow using convolutional and recurrent neural networks27
Application of 2D full-waveform inversion on exploration land data27
Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks27
Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach27
Automatic fault detection on seismic images using a multiscale attention convolutional neural network26
Self-training and learning the waveform features of microseismic data using an adaptive dictionary25
Petrofacies classification using machine learning algorithms25
Nonstationary predictive filtering for seismic random noise suppression — A tutorial24
Frequency-dependent attenuation and dispersion caused by squirt flow: Three-dimensional numerical study24
Multitrace first-break picking using an integrated seismic and machine learning method24
Nonlinear beamforming for enhancement of 3D prestack land seismic data23
Accurate porosity prediction for tight sandstone reservoir: A case study from North China23
Model parameterization and amplitude variation with angle and azimuthal inversion in orthotropic media23
Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data23
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 inversion23
An implicit stabilization strategy for Q-compensated reverse time migration23
Separation of simultaneous sources acquired with a high blending factor via coherence pass robust Radon operators23
The W transform22
Automated arrival-time picking using a pixel-level network22
On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches22
Minibatch least-squares reverse time migration in a deep-learning framework22
Progressive transfer learning for low-frequency data prediction in full-waveform inversion22
Azimuthal Fourier coefficient inversion for horizontal and vertical fracture characterization in weakly orthorhombic media21
Comparison of monotonicity challenges encountered by the inverse scattering series and the Marchenko demultiple method for elastic waves21
Cooperative deep learning inversion of controlled-source electromagnetic data for salt delineation21
Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks21
Surface-wave dispersion spectrum inversion method applied to Love and Rayleigh waves recorded by distributed acoustic sensing21
Sparse magnetic vector inversion in spherical coordinates21
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition20
Removal of multisource noise in airborne electromagnetic data based on deep learning20
Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks20
Improved well-log classification using semisupervised label propagation and self-training, with comparisons to popular supervised algorithms20
Physics-constrained deep learning for ground roll attenuation20
Fracture properties estimation using distributed acoustic sensing recording of guided waves in unconventional reservoirs20
Accurate and efficient data-assimilated wavefield reconstruction in the time domain20
Variational inference in Bayesian neural network for well-log prediction19
Estimating tilted fracture weaknesses from azimuthal differences in seismic amplitude data19
3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh19
DESMEX: A novel system development for semi-airborne electromagnetic exploration19
Least-squares reverse time migration in TTI media using a pure qP-wave equation19
Target-oriented waveform redatuming and high-resolution inversion: Role of the overburden19
Distributed acoustic sensing for near-surface imaging using submarine telecommunication cable: A case study in the Trondheimsfjord, Norway19
Optimization-inspired deep learning high-resolution inversion for seismic data19
Seismic inversion by Newtonian machine learning18
Dealiased seismic data interpolation using a deep-learning-based prediction-error filter18
Near-field strain in distributed acoustic sensing-based microseismic observation18
Lithology identification from well-log curves via neural networks with additional geologic constraint18
Seismic horizon picking by integrating reflector dip and instantaneous phase attributes18
A gradient-based Markov chain Monte Carlo method for full-waveform inversion and uncertainty analysis18
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network18
Elastic full-waveform inversion with probabilistic petrophysical model constraints18
Imposing interpretational constraints on a seismic interpretation convolutional neural network17
Estimating subsurface properties using a semisupervised neural network approach17
Variational Bayesian inversion of seismic attributes jointly for geologic facies and petrophysical rock properties17
A review of spectral analysis of magnetic data for depth estimation17
Seismic simultaneous inversion using a multidamped subspace method17
Modeling and interpretation of scattered waves in interstage distributed acoustic sensing vertical seismic profiling survey17
Marchenko redatuming, imaging, and multiple elimination and their mutual relations17
Robust vector median filtering with a structure-adaptive implementation17
Modeling full-wavefield time-varying sea-surface effects on seismic data: A mimetic finite-difference approach17
Geophysical pore type inversion in carbonate reservoir: Integration of cores, well logs, and seismic data (Yadana field, offshore Myanmar)17
Multiparameter seismic elastic full-waveform inversion with combined geophone and shaped fiber-optic cable data17
Seismic horizon extraction with dynamic programming17
Casing integrity mapping using top-casing electrodes and surface-based electromagnetic fields17
Parameter crosstalk and leakage between spatially separated unknowns in viscoelastic full-waveform inversion17
ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images17
Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning17
Fractional Laplacians viscoacoustic wavefield modeling with k-space-based time-stepping error compensating scheme17
Seismic characterization of fractured reservoirs with elastic impedance difference versus angle and azimuth: A low-frequency poroelasticity perspective16
Diffraction imaging using the two-way imaging condition16
Innovative boat-towed transient electromagnetics — Investigation of the Furnas volcanic lake hydrothermal system, Azores16
An improved method for lithology identification based on a hidden Markov model and random forests16
Modeling extra-deep electromagnetic logs using a deep neural network16
Shallow tunnel detection using SH-wave diffraction imaging16
Azimuthal amplitude variation with offset parameterization and inversion for fracture weaknesses in tilted transversely isotropic media16
Self-constrained inversion of potential fields through a 3D depth weighting16
Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data16
Microseismic monitoring using a fibre-optic Distributed Acoustic Sensor (DAS) array16
Deep learning a poroelastic rock-physics model for pressure and saturation discrimination16
Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys16
Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set16
Target-oriented time-lapse waveform inversion using deep learning-assisted regularization16
Extended stable factor method for the inverseQ-filter16
Surface-related multiple leakage extraction using local primary-and-multiple orthogonalization16
Elastic least-squares reverse time migration based on decoupled wave equations15
Deep convolutional neural network and sparse least-squares migration15
Multichannel absorption compensation with a data-driven structural regularization15
Experimental assessment of the stress-sensitivity of combined elastic and electrical anisotropy in shallow reservoir sandstones15
Fluid-solid coupled full-waveform inversion in the curvilinear coordinates for ocean-bottom cable data15
Unsupervised deep learning for 3D interpolation of highly incomplete data15
Seismic inversion of shale reservoir properties using microseismic-induced guided waves recorded by distributed acoustic sensing15
Depositional impact on the elastic characteristics of the organic shale reservoir and its seismic application: A case study of the Longmaxi-Wufeng Shale in the Fuling gas field, Sichuan Basin15
VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks15
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction15
Stochastic perturbation optimization for discrete-continuous inverse problems15
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples15
Robust high-dimensional seismic data interpolation based on elastic half norm regularization and tensor dictionary learning15
Apsu — A new compact surface nuclear magnetic resonance system for groundwater investigation15
Modeling of pure qP- and qSV-waves in tilted transversely isotropic media with the optimal quadratic approximation15
An efficient multigrid solver based on a four-color cell-block Gauss-Seidel smoother for 3D magnetotelluric forward modeling15
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction15
Seismic inversion via closed-loop fully convolutional residual network and transfer learning15
Estimation of the top of the saturated zone from airborne electromagnetic data15
New insights into the mechanisms of seismicity in the Azle area, North Texas15
Blind sparse-spike deconvolution with thin layers and structure14
Strain microseismics: Radiation patterns, synthetics, and moment tensor resolvability with distributed acoustic sensing in isotropic media14
Toward a better understanding of low-frequency electrical relaxation — An enhanced pore space characterization14
Near-real-time near-surface 3D seismic velocity and uncertainty models by wavefield gradiometry and neural network inversion of ambient seismic noise14
Sinkhole detection with 3D full seismic waveform tomography14
Nonlinear inversion of seismic amplitude variation with offset for an effective stress parameter14
Extended-space full-waveform inversion in the time domain with the augmented Lagrangian method14
Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operator14
Mimetic finite-difference coupled-domain solver for anisotropic media14
Least-squares reverse time migration of multiples in viscoacoustic media14
A viscoplastic model of creep in shale14
Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data14
A MATLAB code package for 2D/3D local slope estimation and structural filtering14
Acoustic and elastic finite-difference modeling by optimal variable-length spatial operators14
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder14
Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks14
Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data14
Wavefield decomposition in arbitrary direction and an imaging condition based on stratigraphic dip14
Discrete representations for Marchenko imaging of imperfectly sampled data13
An lp-space matching pursuit algorithm and its application to robust seismic data denoising via time-domain Radon transforms13
3D borehole-to-surface and surface electromagnetic modeling and inversion in the presence of steel infrastructure13
Multiparameter full-waveform inversion of 3D ocean-bottom cable data from the Valhall field13
Reflection and transmission approximations for monoclinic media with a horizontal symmetry plane13
Reflection and transmission approximations for weak contrast orthorhombic media13
An approach for attenuation-compensating multidimensional constant-Q viscoacoustic reverse time migration13
Reconstruction of irregular missing seismic data using conditional generative adversarial networks13
Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions13
Data-driven multichannel poststack seismic impedance inversion via patch-ordering regularization13
Gravity inversion for heterogeneous sedimentary basin with b-spline polynomial approximation using differential evolution algorithm13
Investigation of cable effects in spectral induced polarization imaging at the field scale using multicore and coaxial cables13
Seismic denoising via truncated nuclear norm minimization13
Adaptive multiple subtraction based on support vector regression13
Cross-streamer wavefield reconstruction through wavelet domain learning13
Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification13
Cavity detection by SH-wave full-waveform inversion — A reflection-focused approach13
Interpolated multichannel singular spectrum analysis: A reconstruction method that honors true trace coordinates13
Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations13
Dictionary learning with convolutional structure for seismic data denoising and interpolation13
3D finite-volume time-domain modeling of geophysical electromagnetic data on unstructured grids using potentials13
Deep learning for multitrace sparse-spike deconvolution13
Eliminating above-surface diffractions from ground-penetrating radar data using iterative Stolt migration13
Attenuation methods for quantifying gas saturation in organic-rich shale and tight gas formations13
Automatic geologic fault identification from seismic data using 2.5D channel attention U-net13
3D aquifer characterization of the Hermalle-sous-Argenteau test site using crosshole ground-penetrating radar amplitude analysis and full-waveform inversion12
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation12
Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness12
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 12
Simulation of thermoelastic waves based on the Lord-Shulman theory12
Wave characteristics in elliptical orthorhombic media12
Frequency-dependent AVO analysis using the scattering response of a layered reservoir12
Multichannel maximum-entropy method for the Wigner-Ville distribution12
Bayesian full-waveform inversion with realistic priors12
Iterative magnetic forward modeling for high susceptibility based on integral equation and Gauss-fast Fourier transform12
Complete and representative training of neural networks: A generalization study using double noise injection and natural images12
Three-dimensional magnetotelluric numerical simulation of realistic geologic models12
Decoupled approximation and separate extrapolation of P- and SV-waves in transversely isotropic media12
Building large-scale density model via a deep-learning-based data-driven method12
Central-difference time-lapse 4D seismic full-waveform inversion12
Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multitrace Bayesian amplitude-variation-with-offset petrophysics inversion in multiporosity reservoirs12
Unsupervised seismic facies classification using deep convolutional autoencoder12
A method for adequate selection of training data sets to reconstruct seismic data using a convolutional U-Net12
Multiscale reflection phase inversion with migration deconvolution12
Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter12
An efficient wavefield inversion for transversely isotropic media with a vertical axis of symmetry12
2.5D crosshole GPR full-waveform inversion with synthetic and measured data12
Denoising of distributed acoustic sensing data using supervised deep learning12
Geophysical inversion for 3D contact surface geometry11
Noise types and their attenuation in towed marine seismic: A tutorial11
Coupled magnetic resonance and electrical resistivity tomography: An open-source toolbox for surface nuclear-magnetic resonance11
Estimating the elastic properties of mica and clay minerals11
Anisotropic dynamic and static mechanical properties of organic-rich shale: The influence of stress11
How the effective pore and grain shapes are correlated in Berea sandstones: Implications for joint elastic-electrical modeling11
A robust Q estimation scheme for adaptively handling asymmetric wavelet spectrum variations in strongly attenuating media11
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks11
6D phase-difference attributes for wide-azimuth seismic data interpretation11
IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data11
Passive multichannel analysis of surface waves using 1D and 2D receiver arrays11
Retrieval of shallow S-wave profiles from seismic reflection surveying and traffic-induced noise11
Migration using sea surface-related multiples: Challenges and opportunities11
Estimation of seismic quality factor in the time-frequency domain using variational mode decomposition11
Amplitude-variation-with-offset inversion using P- to S-wave velocity ratio and P-wave velocity11
Seismic-while-drilling drill-bit source by ground force: Concept and application11
Induced polarization effect on grounded-wire transient electromagnetic data from transverse electric and magnetic fields11
3D frequency-domain elastic wave modeling with the spectral element method using a massively parallel direct solver11
Least-squares reverse time migration using convolutional neural networks11
Moment tensors of double-couple microseismic sources in anisotropic formations11
Robust AVO inversion for the fluid factor and shear modulus11
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