A physics-driven workflow for gas-sand identification in Pliocene turbidites using pre-stack inversion and seismic attributes, offshore Egypt. [PDF]
Mahdy A +3 more
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Determining acoustic impedance cube by inverting seismic data using feedforward and radial basis neural networks in an Iranian oilfield. [PDF]
Ghiasvand A +5 more
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Melt, fluids, and fractures beneath Ebeko Volcano (Kuril Islands) revealed by ambient noise attenuation tomography. [PDF]
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Seismic and mineralogical evidence for an iron-rich mega-ultralow-velocity zone beneath Hawai'i. [PDF]
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Comparing machine learning and deep learning approaches to predicting the seismic response of slab-column connections. [PDF]
El-Mandouh MA +3 more
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Influence of seismic strain stress on evolution law of microcracks in concrete TPB tests using AE technology. [PDF]
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On the correlation of seismic microtremors
Journal of Geophysical Research, 2005We present results of the analysis of microtremor measurements using a small array. Our analysis is based on the computation of cross‐correlation functions between stations in both frequency and time domains. We obtain similar results in both domains and link those results to the application of Aki's spatial autocorrelation method of using a single ...
FRANCISCO J Chávez-García +1 more
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Beyond Correlations: Deep Learning for Seismic Interferometry
IEEE Transactions on Neural Networks and Learning Systems, 2023Passive seismic interferometry is a vastly generalized blind deconvolution question, where different paths through the Earth correspond to different channels called Green's functions; the sources are completely incoherent and not shared by the channels, and the question is to estimate paths (channels) that are not present in the dataset.
Hongyu Sun, Laurent Demanet
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