OOIR: Observatory of International Research

Papers

(The H4-Index of Geophysics is 35. 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 2020-05-01 to 2024-05-01.)

Article	Citations
Deep denoising autoencoder for seismic random noise attenuation	179
Extrapolated full-waveform inversion with deep learning	94
Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks	88
Deep learning reservoir porosity prediction based on multilayer long short-term memory network	77
Can learning from natural image denoising be used for seismic data interpolation?	74
A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification	68
Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis	67
Detection of road cavities in urban cities by 3D ground-penetrating radar	65
Extracting horizon surfaces from 3D seismic data using deep learning	61
Petrophysical properties prediction from prestack seismic data using convolutional neural networks	61
Mapping full seismic waveforms to vertical velocity profiles by deep learning	60
Deep-learning seismic full-waveform inversion for realistic structural models	58
An unsupervised deep-learning method for porosity estimation based on poststack seismic data	57
Seismic data interpolation based on U-net with texture loss	56
A convolutional neural network approach to deblending seismic data	55
Application of machine learning to microseismic event detection in distributed acoustic sensing data	52
Ground-roll attenuation using generative adversarial networks	52
Missing well log prediction using convolutional long short-term memory network	51
Improving the resolution of migrated images by approximating the inverse Hessian using deep learning	51
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks	50
Data-driven low-frequency signal recovery using deep-learning predictions in full-waveform inversion	47
Deep learning for multidimensional seismic impedance inversion	45
Physics-driven deep-learning inversion with application to transient electromagnetics	45
Waveform embedding: Automatic horizon picking with unsupervised deep learning	45
Uncertainty quantification in fault detection using convolutional neural networks	45

High-resolution reservoir characterization using deep learning-aided elastic full-waveform inversion: The North Sea field data example	42
Fast imaging of time-domain airborne EM data using deep learning technology	42
Convolutional neural networks for microseismic waveform classification and arrival picking	40
Evidence-based guidelines for protective actions and earthquake early warning systems	37
Automatic seismic facies interpretation using supervised deep learning	37
Modeling of fiber-optic strain responses to hydraulic fracturing	37
Reparameterized full-waveform inversion using deep neural networks	37
Automatic velocity picking from semblances with a new deep-learning regression strategy: Comparison with a classification approach	36
Double-scale supervised inversion with a data-driven forward model for low-frequency impedance recovery	36
Automatic waveform-based source-location imaging using deep learning extracted microseismic signals	35
Integrating deep neural networks with full-waveform inversion: Reparameterization, regularization, and uncertainty quantification	35
Characteristics of microseismic data recorded by distributed acoustic sensing systems in anisotropic media	35