Geophysics

Papers
(The median citation count of Geophysics is 3. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Deep denoising autoencoder for seismic random noise attenuation177
Extrapolated full-waveform inversion with deep learning91
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks87
Deep learning reservoir porosity prediction based on multilayer long short-term memory network75
Can learning from natural image denoising be used for seismic data interpolation?72
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis66
A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification65
Extracting horizon surfaces from 3D seismic data using deep learning61
Detection of road cavities in urban cities by 3D ground-penetrating radar61
Petrophysical properties prediction from prestack seismic data using convolutional neural networks59
Mapping full seismic waveforms to vertical velocity profiles by deep learning57
Deep-learning seismic full-waveform inversion for realistic structural models56
An unsupervised deep-learning method for porosity estimation based on poststack seismic data56
Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow55
Seismic data interpolation based on U-net with texture loss55
Application of machine learning to microseismic event detection in distributed acoustic sensing data52
Missing well log prediction using convolutional long short-term memory network51
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks50
Improving the resolution of migrated images by approximating the inverse Hessian using deep learning50
Ground-roll attenuation using generative adversarial networks49
Deep learning for relative geologic time and seismic horizons47
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion45
Deep learning for multidimensional seismic impedance inversion45
Physics-driven deep-learning inversion with application to transient electromagnetics45
Waveform embedding: Automatic horizon picking with unsupervised deep learning45
Uncertainty quantification in fault detection using convolutional neural networks43
Modeling the seismic response of individual hydraulic fracturing stages observed in a time-lapse distributed acoustic sensing vertical seismic profiling survey43
High-resolution reservoir characterization using deep learning-aided elastic full-waveform inversion: The North Sea field data example42
Convolutional neural networks for microseismic waveform classification and arrival picking40
Fast imaging of time-domain airborne EM data using deep learning technology40
Reparameterized full-waveform inversion using deep neural networks37
Automatic seismic facies interpretation using supervised deep learning36
Modeling of fiber-optic strain responses to hydraulic fracturing36
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery36
Evidence-based guidelines for protective actions and earthquake early warning systems36
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification35
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals35
Characteristics of microseismic data recorded by distributed acoustic sensing systems in anisotropic media34
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach34
Near-surface imaging from traffic-induced surface waves with dense linear arrays: An application in the urban area of Hangzhou, China33
ML-descent: An optimization algorithm for full-waveform inversion using machine learning32
Application of supervised descent method for 2D magnetotelluric data inversion31
Automatic fault detection on seismic images using a multiscale attention convolutional neural network31
Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach30
A robust first-arrival picking workflow using convolutional and recurrent neural networks29
Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks28
Least-squares reverse time migration in TTI media using a pure qP-wave equation28
Bayesian petroelastic inversion with multiple prior models28
The W transform27
Nonstationary predictive filtering for seismic random noise suppression — A tutorial26
Frequency-dependent attenuation and dispersion caused by squirt flow: Three-dimensional numerical study26
Petrofacies classification using machine learning algorithms26
Self-training and learning the waveform features of microseismic data using an adaptive dictionary26
Model parameterization and amplitude variation with angle and azimuthal inversion in orthotropic media25
Automated arrival-time picking using a pixel-level network25
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
Minibatch least-squares reverse time migration in a deep-learning framework24
Physics-constrained deep learning for ground roll attenuation24
Multitrace first-break picking using an integrated seismic and machine learning method24
Separation of simultaneous sources acquired with a high blending factor via coherence pass robust Radon operators24
An implicit stabilization strategy for Q-compensated reverse time migration24
Azimuthal Fourier coefficient inversion for horizontal and vertical fracture characterization in weakly orthorhombic media23
Removal of multisource noise in airborne electromagnetic data based on deep learning23
Sparse magnetic vector inversion in spherical coordinates23
Lithology identification from well-log curves via neural networks with additional geologic constraint23
Nonlinear beamforming for enhancement of 3D prestack land seismic data23
Cooperative deep learning inversion of controlled-source electromagnetic data for salt delineation23
Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data23
Seismic inversion by Newtonian machine learning22
Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks22
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition22
DESMEX: A novel system development for semi-airborne electromagnetic exploration22
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples22
On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches22
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network22
Optimization-inspired deep learning high-resolution inversion for seismic data22
Variational inference in Bayesian neural network for well-log prediction21
An improved method for lithology identification based on a hidden Markov model and random forests21
Surface-wave dispersion spectrum inversion method applied to Love and Rayleigh waves recorded by distributed acoustic sensing21
Distributed acoustic sensing for near-surface imaging using submarine telecommunication cable: A case study in the Trondheimsfjord, Norway21
Comparison of monotonicity challenges encountered by the inverse scattering series and the Marchenko demultiple method for elastic waves21
Fracture properties estimation using distributed acoustic sensing recording of guided waves in unconventional reservoirs20
Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks20
3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh20
Estimating tilted fracture weaknesses from azimuthal differences in seismic amplitude data20
Marchenko redatuming, imaging, and multiple elimination and their mutual relations20
Parameter crosstalk and leakage between spatially separated unknowns in viscoelastic full-waveform inversion19
Variational Bayesian inversion of seismic attributes jointly for geologic facies and petrophysical rock properties19
Geophysical pore type inversion in carbonate reservoir: Integration of cores, well logs, and seismic data (Yadana field, offshore Myanmar)19
Unsupervised deep learning for 3D interpolation of highly incomplete data19
Target-oriented waveform redatuming and high-resolution inversion: Role of the overburden19
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder19
IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data19
Near-field strain in distributed acoustic sensing-based microseismic observation19
A gradient-based Markov chain Monte Carlo method for full-waveform inversion and uncertainty analysis19
Dealiased seismic data interpolation using a deep-learning-based prediction-error filter19
Robust vector median filtering with a structure-adaptive implementation18
Seismic inversion via closed-loop fully convolutional residual network and transfer learning18
Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning18
Target-oriented time-lapse waveform inversion using deep learning-assisted regularization18
Azimuthal amplitude variation with offset parameterization and inversion for fracture weaknesses in tilted transversely isotropic media18
A MATLAB code package for 2D/3D local slope estimation and structural filtering18
Modeling and interpretation of scattered waves in interstage distributed acoustic sensing vertical seismic profiling survey18
Seismic horizon extraction with dynamic programming18
Seismic characterization of fractured reservoirs with elastic impedance difference versus angle and azimuth: A low-frequency poroelasticity perspective18
Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys18
Multiparameter seismic elastic full-waveform inversion with combined geophone and shaped fiber-optic cable data18
A review of spectral analysis of magnetic data for depth estimation18
Imposing interpretational constraints on a seismic interpretation convolutional neural network17
Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification17
Extended-space full-waveform inversion in the time domain with the augmented Lagrangian method17
Fluid-solid coupled full-waveform inversion in the curvilinear coordinates for ocean-bottom cable data17
Deep learning for multitrace sparse-spike deconvolution17
Elastic least-squares reverse time migration based on decoupled wave equations17
Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data17
An efficient multigrid solver based on a four-color cell-block Gauss-Seidel smoother for 3D magnetotelluric forward modeling17
Progressive transfer learning for low-frequency data prediction in full-waveform inversion17
Extended stable factor method for the inverseQ-filter17
Deep convolutional neural network and sparse least-squares migration17
Estimating subsurface properties using a semisupervised neural network approach17
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction17
ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images17
Self-constrained inversion of potential fields through a 3D depth weighting17
Migration using sea surface-related multiples: Challenges and opportunities16
Stochastic perturbation optimization for discrete-continuous inverse problems16
Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness16
Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set16
Seismic inversion of shale reservoir properties using microseismic-induced guided waves recorded by distributed acoustic sensing16
Modeling extra-deep electromagnetic logs using a deep neural network16
Electrical imaging of hydraulic fracturing fluid using steel-cased wells and a deep-learning method16
Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operator16
Robust high-dimensional seismic data interpolation based on elastic half norm regularization and tensor dictionary learning16
Deep learning a poroelastic rock-physics model for pressure and saturation discrimination16
Experimental assessment of the stress-sensitivity of combined elastic and electrical anisotropy in shallow reservoir sandstones16
Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations16
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
Seismic denoising via truncated nuclear norm minimization15
Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks15
VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks15
Nonlinear inversion of seismic amplitude variation with offset for an effective stress parameter15
Blind sparse-spike deconvolution with thin layers and structure15
Decoupled approximation and separate extrapolation of P- and SV-waves in transversely isotropic media15
Mimetic finite-difference coupled-domain solver for anisotropic media15
Denoising of distributed acoustic sensing data using supervised deep learning15
A viscoplastic model of creep in shale15
Wavefield decomposition in arbitrary direction and an imaging condition based on stratigraphic dip15
Bayesian seismic inversion for stratigraphic horizon, lithology, and fluid prediction15
3D borehole-to-surface and surface electromagnetic modeling and inversion in the presence of steel infrastructure15
Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter15
Multiparameter full-waveform inversion of 3D ocean-bottom cable data from the Valhall field15
Estimation of the top of the saturated zone from airborne electromagnetic data15
Unsupervised seismic facies classification using deep convolutional autoencoder15
Sinkhole detection with 3D full seismic waveform tomography15
An lp-space matching pursuit algorithm and its application to robust seismic data denoising via time-domain Radon transforms15
Toward a better understanding of low-frequency electrical relaxation — An enhanced pore space characterization15
Dictionary learning with convolutional structure for seismic data denoising and interpolation15
Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data14
Reconstruction of irregular missing seismic data using conditional generative adversarial networks14
Building adjoint operators for least-squares migration using the acoustic wave equation14
Gravity inversion for heterogeneous sedimentary basin with b-spline polynomial approximation using differential evolution algorithm14
Least-squares reverse time migration of multiples in viscoacoustic media14
Bayesian full-waveform inversion with realistic priors14
3D seismic characterization of fractures using elastic P-to-S double beams14
Strain microseismics: Radiation patterns, synthetics, and moment tensor resolvability with distributed acoustic sensing in isotropic media14
Three-dimensional magnetotelluric numerical simulation of realistic geologic models14
3D finite-volume time-domain modeling of geophysical electromagnetic data on unstructured grids using potentials14
Cross-streamer wavefield reconstruction through wavelet domain learning14
Interpolated multichannel singular spectrum analysis: A reconstruction method that honors true trace coordinates14
Data-driven multichannel poststack seismic impedance inversion via patch-ordering regularization14
Investigation of cable effects in spectral induced polarization imaging at the field scale using multicore and coaxial cables14
Prestack Bayesian statistical inversion constrained by reflection features14
Passive multichannel analysis of surface waves using 1D and 2D receiver arrays13
Attenuation methods for quantifying gas saturation in organic-rich shale and tight gas formations13
Cavity detection by SH-wave full-waveform inversion — A reflection-focused approach13
How the effective pore and grain shapes are correlated in Berea sandstones: Implications for joint elastic-electrical modeling13
Decoupled Fréchet kernels based on a fractional viscoacoustic wave equation13
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks13
Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multitrace Bayesian amplitude-variation-with-offset petrophysics inversion in multiporosity reservoirs13
Central-difference time-lapse 4D seismic full-waveform inversion13
Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms13
A method for adequate selection of training data sets to reconstruct seismic data using a convolutional U-Net13
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
Simulation of thermoelastic waves based on the Lord-Shulman theory13
Modeling viscoacoustic wave propagation using a new spatial variable-order fractional Laplacian wave equation13
Building large-scale density model via a deep-learning-based data-driven method13
Geophysical inversion for 3D contact surface geometry13
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation13
Automatic geologic fault identification from seismic data using 2.5D channel attention U-net13
Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions13
Amplitude-variation-with-offset inversion using P- to S-wave velocity ratio and P-wave velocity13
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
Wave characteristics in elliptical orthorhombic media13
Improving the image quality of elastic reverse-time migration in the dip-angle domain using deep learning12
Direct updating of rock-physics properties using elastic full-waveform inversion12
Temperature, differential pressure, and porosity inversion for ultradeep carbonate reservoirs based on 3D rock-physics templates12
Eliminating above-surface diffractions from ground-penetrating radar data using iterative Stolt migration12
Least-squares reverse time migration via deep learning-based updating operators12
Seismic velocity inversion transformer12
Least-squares reverse time migration using convolutional neural networks12
Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data12
Noise types and their attenuation in towed marine seismic: A tutorial12
Coupled magnetic resonance and electrical resistivity tomography: An open-source toolbox for surface nuclear-magnetic resonance12
Estimation of seismic quality factor in the time-frequency domain using variational mode decomposition12
Nonstationary local signal-and-noise orthogonalization12
Least-squares reverse time migration with a multiplicative Cauchy constraint12
2.5D crosshole GPR full-waveform inversion with synthetic and measured data12
3D aquifer characterization of the Hermalle-sous-Argenteau test site using crosshole ground-penetrating radar amplitude analysis and full-waveform inversion12
Robust AVO inversion for the fluid factor and shear modulus12
Time-lapse seismic data reconstruction using compressive sensing12
PP-wave reflection coefficient in stress-induced anisotropic media and amplitude variation with incident angle and azimuth inversion12
Using an airborne electromagnetic method to map saltwater intrusion in the northern Salinas Valley, California12
An efficient wavefield inversion for transversely isotropic media with a vertical axis of symmetry12
Ground-penetrating radar data diffraction focusing without a velocity model12
Clustering and constrained inversion of seismic refraction and gravity data for overburden stripping: Application to uranium exploration in the Athabasca Basin, Canada11
Induced polarization effect on grounded-wire transient electromagnetic data from transverse electric and magnetic fields11
6D phase-difference attributes for wide-azimuth seismic data interpretation11
Least-squares Gaussian beam migration in viscoacoustic media11
Full-waveform inversion with borehole constraints for elastic VTI media11
Joint use of multiseismic information for lithofacies prediction via supervised convolutional neural networks11
Bayesian magnetotelluric inversion using methylene blue structural priors for imaging shallow conductors in geothermal fields11
Tensorial elastodynamics for isotropic media11
A robust Q estimation scheme for adaptively handling asymmetric wavelet spectrum variations in strongly attenuating media11
Full reciprocity-gap waveform inversion enabling sparse-source acquisition11
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
Retrieval of shallow S-wave profiles from seismic reflection surveying and traffic-induced noise11
Parameterization analysis and field validation of VTI-elastic full-waveform inversion in a walk-away vertical seismic profile configuration11
Deep Bayesian inference for seismic imaging with tasks11
Intelligent random noise modeling by the improved variational autoencoding method and its application to data augmentation11
Model reduction in geostatistical seismic inversion with functional data analysis11
Seismic-while-drilling drill-bit source by ground force: Concept and application11
Inversion of vehicle-induced signals based on seismic interferometry and recurrent neural networks11
Controlled-order multiple waveform inversion11
Gaussian mixture model deep neural network and its application in porosity prediction of deep carbonate reservoir11
3D supervirtual refraction interferometry11
Innovative seismic imaging of volcanogenic massive sulfide deposits, Neves-Corvo, Portugal — Part 1: In-mine array11
Frequency-dependent AVO analysis: A potential seismic attribute for thin-bed identification11
Reducing error accumulation of optimized finite-difference scheme using the minimum norm11
Testing of a permanent orbital surface source and distributed acoustic sensing for monitoring of unconventional reservoirs: Preliminary results from the Eagle Ford Shale11
Improved estimation of ice and water contents in alpine permafrost through constrained petrophysical joint inversion: The Hoher Sonnblick case study11
Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier10
A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion10
Solution of large-scale 3D controlled-source electromagnetic modeling problem using efficient iterative solvers10
Magnetic resonance tomography constrained by ground-penetrating radar for improved hydrogeophysical characterization10
A novel and efficient engine for P-/S-wave-mode vector decomposition for vertical transverse isotropic elastic reverse time migration10
Imaging subsurface orebodies with airborne electromagnetic data using a recurrent neural network10
Generalized neural network trained with a small amount of base samples: Application to event detection and phase picking in downhole microseismic monitoring10
Diffraction-angle filtering of gradient for acoustic full-waveform inversion10
Implementation of the Marchenko multiple elimination algorithm10
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