Results 31 to 40 of about 22,545,449 (395)
Can learning from natural image denoising be used for seismic data interpolation? [PDF]
Geophysics, 2019 We have developed an interpolation method based on the denoising convolutional neural network (CNN) for seismic data. It provides a simple and efficient way to break through the problem of the scarcity of geophysical training labels that are often ...
Hao Zhang, Xiuyan Yang, Jianwei Ma
semanticscholar +1 more source
Enhancing the value of public vintage seismic data in the Italian offshore
Geoscience Data Journal, 2019 Vintage geophysical data represent a huge heritage for the whole scientific community (Sopher, 2018; Schaming et al., 2017; Diviacco et al., 2015) because, despite the antiquated acquisition methods and processing tools, they are generally characterized ...
Paolo Diviacco +2 more
doaj +1 more source
Geophysical Research Letters, 2016 The Nares Strait is a waterway separating NW Greenland and North America. The nature of the Nares Strait has been subject of discussion for decades, especially if it represents a transform fault that compensated the opening of the Baffin Bay in the ...
Axel Ehrhardt +3 more
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A physical model for seismic noise generation from sediment transport in rivers [PDF]
, 2012 Measuring sediment flux in rivers remains a significant problem in studies of landscape evolution. Recent studies suggest that observations of seismic noise near rivers can help provide such measurements, but the lack of models linking observed seismic ...
Ampuero, Jean-Paul +3 more
core +1 more source
Detection, Analysis, and Removal of Glitches From InSight's Seismic Data From Mars
Earth and Space Science, 2020 The instrument package SEIS (Seismic Experiment for Internal Structure) with the three very broadband and three short‐period seismic sensors is installed on the surface on Mars as part of NASA's InSight Discovery mission.
John‐Robert Scholz +35 more
semanticscholar +1 more source
Annals of Geophysics, 2011 Session «SM1.3 - Seismic Centers Data Acquisition» was part of the General Assembly 2010 of the European Geosciences Union (EGU) that took place in Vienna (Austria) from 2-7 May, 2010.
Damiano Pesaresi
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Estimation of acoustic impedance from seismic data using temporal convolutional network [PDF]
SEG technical program expanded abstracts, 2019 In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data. Knowledge of physical properties can prove helpful in identifying key structures in the subsurface for hydrocarbon ...
Ahmad Mustafa +2 more
semanticscholar +1 more source
Space and Time Evolution of the Rupture for the 2010 August 27 Mw 5.8 Kuh-zar earthquake [PDF]
Iranian Journal of Astronomy and Astrophysics, 2020 This study investigated the spatiotemporal slip distribution of the 2010 August 27 Mw 5.8 Kuh-zar earthquake. Using the constrained non-negative least-squares linear slip inversion method, we calculated the amount of displacement on the fault plane.
Nazila Asaadi, Sonia Bazargan
doaj +1 more source
Current-eddy interaction in the Agulhas Return Current region from the seismic oceanography perspective [PDF]
, 2013 Interleaving in the Agulhas Return Current (ARC) frontal region is commonly manifested in the form of thermohaline intrusions, as sub-tropical and sub-polar water masses of similar density meet.
Book, Jeffrey W. +3 more
core +1 more source
Seismic Data Interpolation Using Dual-Domain Conditional Generative Adversarial Networks
IEEE Geoscience and Remote Sensing Letters, 2020 Seismic data interpolation is an effective way to reconstruct missing seismic traces and to improve the quality of the seismic data set. In the field of deep learning, generative adversarial networks are capable of data generation and interpolation and ...
D. Chang +6 more
semanticscholar +1 more source