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Current Issue
Volume 88
,
Number 6
,
November 2023
View This Issue
New Online
Machine learning for seismic exploration: Where are we and how far are we from the holy grail?
Extracting crucial microstructures to characterize the elastic wave velocity and resistivity of Berea sandstone using convolutional neural networks
TransInver: 3D data-driven seismic inversion based on self-attention
Removing abnormal environmental noise in nodal land seismic data using deep learning
Applications of deep neural networks in exploration seismology: A technical survey
Estimating geotechnical parameters using semisupervised learning: An example from the Dutch offshore wind farm zone
Trace-wise coherent noise suppression via a self-supervised blind-trace deep-learning scheme
Unsupervised seismic random noise attenuation by a recursive deep image prior
New wiggles from old cables: Data processing and imaging considerations
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146
Machine learning for seismic exploration: Where are we and how far are we from the holy grail?
61
Deep-learning inversion: A next-generation seismic velocity model building method
61
DESMEX: A novel system development for semi-airborne electromagnetic exploration
54
Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier
52
Numerical modeling of low-frequency distributed acoustic sensing signals for mixed-mode reactivation
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