Geophysics

Papers
(The TQCC of Geophysics is 7. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis79
Detection of road cavities in urban cities by 3D ground-penetrating radar72
Mapping full seismic waveforms to vertical velocity profiles by deep learning67
Deep-learning seismic full-waveform inversion for realistic structural models65
Seismic data interpolation based on U-net with texture loss65
An unsupervised deep-learning method for porosity estimation based on poststack seismic data63
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks55
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion54
Deep learning for multidimensional seismic impedance inversion53
Physics-driven deep-learning inversion with application to transient electromagnetics52
Uncertainty quantification in fault detection using convolutional neural networks48
Automatic seismic facies interpretation using supervised deep learning44
Reparameterized full-waveform inversion using deep neural networks43
Evidence-based guidelines for protective actions and earthquake early warning systems43
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification42
Modeling of fiber-optic strain responses to hydraulic fracturing41
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery41
Automatic fault detection on seismic images using a multiscale attention convolutional neural network41
Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach40
Near-surface imaging from traffic-induced surface waves with dense linear arrays: An application in the urban area of Hangzhou, China40
Lithology identification from well-log curves via neural networks with additional geologic constraint39
ML-descent: An optimization algorithm for full-waveform inversion using machine learning38
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach36
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals35
Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples34
The W transform34
3D multinary inversion of controlled-source electromagnetic data based on the finite-element method with unstructured mesh33
Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks31
Removal of multisource noise in airborne electromagnetic data based on deep learning30
Nonstationary predictive filtering for seismic random noise suppression — A tutorial30
Unsupervised deep learning for 3D interpolation of highly incomplete data30
On cycle-skipping and misfit function modification for full-wave inversion: Comparison of five recent approaches29
DESMEX: A novel system development for semi-airborne electromagnetic exploration29
Physics-constrained deep learning for ground roll attenuation28
Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data28
Azimuthal Fourier coefficient inversion for horizontal and vertical fracture characterization in weakly orthorhombic media28
Model parameterization and amplitude variation with angle and azimuthal inversion in orthotropic media28
Dictionary learning and shift-invariant sparse coding denoising for controlled-source electromagnetic data combined with complementary ensemble empirical mode decomposition27
Applications of deep neural networks in exploration seismology: A technical survey27
An improved method for lithology identification based on a hidden Markov model and random forests27
Data-driven S-wave velocity prediction method via a deep-learning-based deep convolutional gated recurrent unit fusion network26
Denoising of distributed acoustic sensing data using supervised deep learning26
Extended-space full-waveform inversion in the time domain with the augmented Lagrangian method26
IncepTCN: A new deep temporal convolutional network combined with dictionary learning for strong cultural noise elimination of controlled-source electromagnetic data26
Separation and imaging of seismic diffractions using a localized rank-reduction method with adaptively selected ranks25
Minibatch least-squares reverse time migration in a deep-learning framework25
ChannelSeg3D: Channel simulation and deep learning for channel interpretation in 3D seismic images25
Dealiased seismic data interpolation using a deep-learning-based prediction-error filter24
Variational inference in Bayesian neural network for well-log prediction24
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
Optimization-inspired deep learning high-resolution inversion for seismic data24
Distributed acoustic sensing for near-surface imaging using submarine telecommunication cable: A case study in the Trondheimsfjord, Norway24
Uncertainty quantification in stochastic inversion with dimensionality reduction using variational autoencoder24
A gradient-based Markov chain Monte Carlo method for full-waveform inversion and uncertainty analysis24
Surface-wave dispersion spectrum inversion method applied to Love and Rayleigh waves recorded by distributed acoustic sensing24
Extended Gassmann equation with dynamic volumetric strain: Modeling wave dispersion and attenuation of heterogeneous porous rocks23
Seismic inversion via closed-loop fully convolutional residual network and transfer learning23
Elastic isotropic and anisotropic full-waveform inversions using automatic differentiation for gradient calculations in a framework of recurrent neural networks23
Seismic velocity inversion transformer23
Marchenko redatuming, imaging, and multiple elimination and their mutual relations23
Target-oriented waveform redatuming and high-resolution inversion: Role of the overburden23
Characterizing electromagnetic interference signals for unmanned aerial vehicle geophysical surveys22
Geophysical pore type inversion in carbonate reservoir: Integration of cores, well logs, and seismic data (Yadana field, offshore Myanmar)22
PP-wave reflection coefficient in stress-induced anisotropic media and amplitude variation with incident angle and azimuth inversion22
Nearly constant Q models of the generalized standard linear solid type and the corresponding wave equations22
A review of spectral analysis of magnetic data for depth estimation22
Azimuthal amplitude variation with offset parameterization and inversion for fracture weaknesses in tilted transversely isotropic media22
Joint learning for spatial context-based seismic inversion of multiple data sets for improved generalizability and robustness22
Near-field strain in distributed acoustic sensing-based microseismic observation21
Unsupervised deep learning with higher-order total-variation regularization for multidimensional seismic data reconstruction21
Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data21
Seismic characterization of fractured reservoirs with elastic impedance difference versus angle and azimuth: A low-frequency poroelasticity perspective21
Progressive transfer learning for low-frequency data prediction in full-waveform inversion21
An efficient multigrid solver based on a four-color cell-block Gauss-Seidel smoother for 3D magnetotelluric forward modeling21
Multiparameter seismic elastic full-waveform inversion with combined geophone and shaped fiber-optic cable data21
A MATLAB code package for 2D/3D local slope estimation and structural filtering20
3D finite-volume time-domain modeling of geophysical electromagnetic data on unstructured grids using potentials20
Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification20
Uncovering the microseismic signals from noisy data for high-fidelity 3D source-location imaging using deep learning20
Modeling and interpretation of scattered waves in interstage distributed acoustic sensing vertical seismic profiling survey20
Migration using sea surface-related multiples: Challenges and opportunities20
Dictionary learning with convolutional structure for seismic data denoising and interpolation20
Target-oriented time-lapse waveform inversion using deep learning-assisted regularization20
Elastic least-squares reverse time migration based on decoupled wave equations19
Gravity inversion for heterogeneous sedimentary basin with b-spline polynomial approximation using differential evolution algorithm19
Estimating subsurface properties using a semisupervised neural network approach19
Regularized elastic passive equivalent source inversion with full-waveform inversion: Application to a field monitoring microseismic data set19
Multiparameter full-waveform inversion of 3D ocean-bottom cable data from the Valhall field19
Imposing interpretational constraints on a seismic interpretation convolutional neural network19
Amplitude-variation-with-offset inversion using P- to S-wave velocity ratio and P-wave velocity19
Decoupled approximation and separate extrapolation of P- and SV-waves in transversely isotropic media19
Seismic horizon extraction with dynamic programming19
Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operator18
Self-constrained inversion of potential fields through a 3D depth weighting18
Using relative geologic time to constrain convolutional neural network-based seismic interpretation and property estimation18
Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data18
Reconstruction of irregular missing seismic data using conditional generative adversarial networks18
Investigation of cable effects in spectral induced polarization imaging at the field scale using multicore and coaxial cables18
Deep learning for multitrace sparse-spike deconvolution18
Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms18
VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks18
A method for adequate selection of training data sets to reconstruct seismic data using a convolutional U-Net18
Modeling viscoacoustic wave propagation using a new spatial variable-order fractional Laplacian wave equation18
Geophysical inversion for 3D contact surface geometry18
Unsupervised seismic facies classification using deep convolutional autoencoder18
Bayesian full-waveform inversion with realistic priors18
Passive multichannel analysis of surface waves using 1D and 2D receiver arrays17
Joint use of multiseismic information for lithofacies prediction via supervised convolutional neural networks17
Interpolated multichannel singular spectrum analysis: A reconstruction method that honors true trace coordinates17
Electrical imaging of hydraulic fracturing fluid using steel-cased wells and a deep-learning method17
Robust high-dimensional seismic data interpolation based on elastic half norm regularization and tensor dictionary learning17
Deep learning a poroelastic rock-physics model for pressure and saturation discrimination17
Accelerating seismic scattered noise attenuation in offset-vector tile domain: Application of deep learning17
Least-squares reverse time migration with a multiplicative Cauchy constraint17
An lp-space matching pursuit algorithm and its application to robust seismic data denoising via time-domain Radon transforms17
Central-difference time-lapse 4D seismic full-waveform inversion17
Modeling extra-deep electromagnetic logs using a deep neural network17
Automatic geologic fault identification from seismic data using 2.5D channel attention U-net17
Building adjoint operators for least-squares migration using the acoustic wave equation17
Seismic inversion of shale reservoir properties using microseismic-induced guided waves recorded by distributed acoustic sensing17
Data-driven multichannel poststack seismic impedance inversion via patch-ordering regularization16
Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multitrace Bayesian amplitude-variation-with-offset petrophysics inversion in multiporosity reservoirs16
Porosity and permeability prediction using a transformer and periodic long short-term network16
Anisotropic dynamic and static mechanical properties of organic-rich shale: The influence of stress16
Seismic denoising via truncated nuclear norm minimization16
Decoupled Fréchet kernels based on a fractional viscoacoustic wave equation15
Gaussian mixture model deep neural network and its application in porosity prediction of deep carbonate reservoir15
Robust full-waveform inversion with graph-space optimal transport: Application to 3D ocean-bottom cable Valhall data15
Self-supervised time-frequency representation based on generative adversarial networks15
Blind sparse-spike deconvolution with thin layers and structure15
Mimetic finite-difference coupled-domain solver for anisotropic media15
A novel and efficient engine for P-/S-wave-mode vector decomposition for vertical transverse isotropic elastic reverse time migration15
Noise types and their attenuation in towed marine seismic: A tutorial15
Scattering-based focusing for imaging in highly complex media from band-limited, multicomponent data15
3D seismic characterization of fractures using elastic P-to-S double beams15
3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements15
Simulation of thermoelastic waves based on the Lord-Shulman theory15
Numerical dispersion mitigation neural network for seismic modeling15
Direct updating of rock-physics properties using elastic full-waveform inversion15
Temperature, differential pressure, and porosity inversion for ultradeep carbonate reservoirs based on 3D rock-physics templates15
Cavity detection by SH-wave full-waveform inversion — A reflection-focused approach15
Direct microseismic event location and characterization from passive seismic data using convolutional neural networks15
Stress-dependent elasticity and wave propagation — New insights and connections14
Deep-learning missing well-log prediction via long short-term memory network with attention-period mechanism14
3D inversion of time-domain electromagnetic data using finite elements and a triple mesh formulation14
Least-squares reverse time migration via deep learning-based updating operators14
Geologic forward prospecting using improved tunnel-seismic-while-drilling method: A case study of the water supply project at Songhua River, Jilin, China14
Inversion of vehicle-induced signals based on seismic interferometry and recurrent neural networks14
5D dealiased seismic data interpolation using nonstationary prediction-error filter14
Retrieval of shallow S-wave profiles from seismic reflection surveying and traffic-induced noise14
Full-waveform inversion with borehole constraints for elastic VTI media14
Cross-streamer wavefield reconstruction through wavelet domain learning14
Model reduction in geostatistical seismic inversion with functional data analysis14
Data and model dual-driven seismic deconvolution via error-constrained joint sparse representation14
Wave characteristics in elliptical orthorhombic media14
Robust AVO inversion for the fluid factor and shear modulus14
Attenuation methods for quantifying gas saturation in organic-rich shale and tight gas formations14
Experimental study of temperature change effect on distributed acoustic sensing continuous measurements14
3D electromagnetic modeling of graphitic faults in the Athabasca Basin using a finite-volume time-domain approach with unstructured grids14
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 14
A dual formulation of wavefield reconstruction inversion for large-scale seismic inversion14
3D aquifer characterization of the Hermalle-sous-Argenteau test site using crosshole ground-penetrating radar amplitude analysis and full-waveform inversion13
Improved estimation of ice and water contents in alpine permafrost through constrained petrophysical joint inversion: The Hoher Sonnblick case study13
Least-squares reverse time migration using convolutional neural networks13
A three-parameter W transform and its application to gas reservoir identification13
Machine-learning-based data recovery and its contribution to seismic acquisition: Simultaneous application of deblending, trace reconstruction, and low-frequency extrapolation13
Complete and representative training of neural networks: A generalization study using double noise injection and natural images13
Building large-scale density model via a deep-learning-based data-driven method13
Innovative seismic imaging of volcanogenic massive sulfide deposits, Neves-Corvo, Portugal — Part 1: In-mine array13
A new generalized stiffness reduction method for 2D/2.5D frequency-domain seismic wave modeling in viscoelastic anisotropic media13
Implementation of the Marchenko multiple elimination algorithm13
Deep Bayesian inference for seismic imaging with tasks12
Testing of a permanent orbital surface source and distributed acoustic sensing for monitoring of unconventional reservoirs: Preliminary results from the Eagle Ford Shale12
Ray-illumination compensation for adjoint-state first-arrival traveltime tomography12
Joint seismic and petrophysical nonlinear inversion with Gaussian mixture-based adaptive regularization12
Parsimonious truncated Newton method for time-domain full-waveform inversion based on the Fourier-domain full-scattered-field approximation12
Digital rock physics applied to squirt flow12
Localizing microseismic events on field data using a U-Net-based convolutional neural network trained on synthetic data12
An analytic signal-based accurate time-domain viscoacoustic wave equation from the constant-Q theory12
Eliminating above-surface diffractions from ground-penetrating radar data using iterative Stolt migration12
Bayesian magnetotelluric inversion using methylene blue structural priors for imaging shallow conductors in geothermal fields12
3D fault detection: Using human reasoning to improve performance of convolutional neural networks12
6D phase-difference attributes for wide-azimuth seismic data interpretation12
Least-squares Gaussian beam migration in viscoacoustic media12
Effective 3D-transient electromagnetic inversion using finite-element method with a parallel direct solver12
On the electromagnetic response of complex pipeline infrastructure12
Three-dimensional controlled-source electromagnetic forward modeling by edge-based finite element with a divergence correction12
MATLAB codes for generating dispersion images for ground exploration using different multichannel analysis of surface wave transforms12
Nonstationary local signal-and-noise orthogonalization12
Automatic seismic phase picking based on unsupervised machine-learning classification and content information analysis12
Tensorial elastodynamics for isotropic media12
Diffraction-angle filtering of gradient for acoustic full-waveform inversion12
A deep learning-enhanced framework for multiphysics joint inversion12
Time-lapse seismic data reconstruction using compressive sensing12
Frequency-dependent AVO analysis: A potential seismic attribute for thin-bed identification12
Extraction of diffractions from seismic data using convolutional U-net and transfer learning12
Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework11
Estimating infiltration front depth using time-lapse multioffset gathers obtained from ground-penetrating-radar antenna array11
High-resolution seismic acoustic impedance inversion with the sparsity-based statistical model11
Prestack diffraction separation in the common virtual source gather11
Convolutional sparse coding for noise attenuation in seismic data11
Least-squares reverse time migration with sparse regularization in the 2D wavelet domain11
Method for obtaining response functions from noisy magnetotelluric data using frequency-domain independent component analysis11
Microseismic analysis over a single horizontal distributed acoustic sensing fiber using guided waves11
Challenges in shallow target reconstruction by 3D elastic full-waveform inversion — Which initial model?11
Data-driven fast prestack structurally constrained inversion11
DecNet: Decomposition network for 3D gravity inversion11
Full reciprocity-gap waveform inversion enabling sparse-source acquisition11
Road sinkhole detection with 2D ambient noise tomography11
Perturbation of phase velocities in elastic orthorhombic media11
Generalized neural network trained with a small amount of base samples: Application to event detection and phase picking in downhole microseismic monitoring11
Seismic imaging of S-wave structures of shallow sediments in the East China Sea using OBN multicomponent Scholte-wave data11
Imaging subsurface orebodies with airborne electromagnetic data using a recurrent neural network11
Source deghosting of coarsely sampled common-receiver data using a convolutional neural network11
Predicting the azimuth of natural fractures and in situ horizontal stress: A case study from the Sichuan Basin, China11
An accurate analytical model for squirt flow in anisotropic porous rocks — Part 1: Classical geometry11
A Bayesian multivariate model using Hamiltonian Monte Carlo inference to estimate total organic carbon content in shale11
Seismic complex ray tracing in 2D/3D viscoelastic anisotropic media by a modified shortest-path method11
Near-surface full-waveform inversion in a transmission surface-consistent scheme11
Nonstationary local time-frequency transform11
Distributed acoustic sensing of ocean-bottom seismo-acoustics and distant storms: A case study from Svalbard, Norway11
Domain knowledge-guided data-driven prestack seismic inversion using deep learning11
Uncertainty and interpretability analysis of encoder-decoder architecture for channel detection11
Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier11
Imaging near-surface S-wave velocity and attenuation models by full-waveform inversion with distributed acoustic sensing-recorded surface waves11
Hierarchical transfer learning for deep learning velocity model building11
Solution of large-scale 3D controlled-source electromagnetic modeling problem using efficient iterative solvers11
Small-data-driven fast seismic simulations for complex media using physics-informed Fourier neural operators11
Physics-driven self-supervised learning system for seismic velocity inversion11
Intelligent random noise modeling by the improved variational autoencoding method and its application to data augmentation11
Correlations between the static and anisotropic dynamic elastic properties of lacustrine shales under triaxial stress: Examples from the Ordos Basin, China11
Erratic and random noise attenuation using adaptive local orthogonalization10
Reliable amortized variational inference with physics-based latent distribution correction10
Least-squares inversion-based elastic reverse time migration with PP- and PS-angle-domain common-imaging gathers10
Seismic imaging of the Caosiyao giant porphyry molybdenum deposit using ambient noise tomography10
Distributed acoustic sensing/surface orbital vibrator: Rotary seismic sources with fiber-optic sensing facilitates autonomous permanent reservoir monitoring10
An accurate analytical model for squirt flow in anisotropic porous rocks — Part 2: Complex geometry10
Regularization of anisotropic full-waveform inversion with multiple parameters by adversarial neural networks10
Improving vertical resolution of vintage seismic data by a weakly supervised method based on cycle generative adversarial network10
Seismic velocity model building using neural networks: Training data design and learning generalization10
EM3DANI: A Julia package for fully anisotropic 3D forward modeling of electromagnetic data10
A comparison of machine learning methods to predict porosity in carbonate reservoirs from seismic-derived elastic properties10
Fast 3D transient electromagnetic forward modeling using BEDS-FDTD algorithm and GPU parallelization10
Distributed acoustic sensing for shallow seismic investigations and void detection10
Probabilistic seismic petrophysical inversion with statistical double-porosity Biot-Rayleigh model10
Monitoring subsurface changes by tracking direct-wave amplitudes and traveltimes in continuous distributed acoustic sensor VSP data10
Separation and imaging of diffractions using a dilated convolutional neural network10
Adaptive 27-point finite-difference frequency-domain method for wave simulation of 3D acoustic wave equation10
Magnetic resonance tomography constrained by ground-penetrating radar for improved hydrogeophysical characterization10
Interactively tracking seismic geobodies with a deep-learning flood-filling network10
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