Results 31 to 40 of about 477 (145)
Source deghosting of coarsely sampled common-receiver data using a convolutional neural network
It is well known that source deghosting can best be applied to common-receiver gathers, whereas receiver deghosting can best be applied to common-shot records.
Vrolijk, J. (author) +1 more
core +1 more source
Abstract Arc volcanoes are underlain by complex systems of molten‐rock reservoirs ranging from melt‐poor mush zones to melt‐rich magma chambers. Petrological and satellite data indicate that eruptible magma chambers form in the topmost few kilometres of the crust.
K. Chrapkiewicz +9 more
wiley +1 more source
K-coverage based receiver placement optimisation in passive radar network
In passive radar network (PRN), the receiver placement optimisation which has the ability to improve the coverage performance attracts much attention recently.
Rui Xie +4 more
doaj +1 more source
Machine learning and artificial neural networks for seismic processing [PDF]
Nylig har tilgjengeligheten av kraftige GPUer og "open source"-programvare gjort det mulig for kunstige nevrale nettverk å løse flere praktiske og industrielle problemer.
Jonge, Thomas de
core +1 more source
Filter based deghosting for exposure fusion video [PDF]
This work deals with a well known problem - the fact that consumer cameras are unable to capture the whole range of color luminance variations the human eye can perceive. Many techniques deal with this, the most widespread probably being High Dynamic Range Imaging. These works focus mainly on still images. Our focus in this work, however, is to improve
Alexandre Chapiro +2 more
openaire +1 more source
Assessment of multi-exposure HDR image deghosting methods
To avoid motion artefacts when merging multiple exposures into a high dynamic range image, a number of HDR deghosting algorithms have been proposed. However, these algorithms do not work equally well on all types of scenes, and some may even introduce ...
core +2 more sources
Viscoacoustic Full Wavefield Migration With Tomographic Q Estimation
ABSTRACT Seismic wave propagation in the Earth's subsurface is influenced by anelastic attenuation, which causes energy loss and waveform distortion, degrading image resolution. This effect, quantified by the quality factor (Qf${{\textit {Q}}_f}$), is particularly pronounced in settings such as carbon capture and storage and near‐surface studies, where
Mohammad Safari, Dirk Jacob Verschuur
wiley +1 more source
How rough sea affects marine seismic data and deghosting procedures
Most seismic processing algorithms generally consider the sea surface as a flat reflector. However, acquisition of marine seismic data often takes place in weather conditions where this approximation is inaccurate.
Glubokovskikh, Stanislav +11 more
core +1 more source
Multichannel Wavefield Reconstruction With Physics‐Informed Neural Networks and Transfer Learning
ABSTRACT Multi‐component seismic data contain rich information essential for accurate subsurface imaging, but they are often sparse due to acquisition limitations and include noise. Robust interpolation techniques are therefore crucial to reconstruct missing traces and preserve wavefield integrity for reliable analysis and inversion. Thus, we propose a
Francesco Brandolin +2 more
wiley +1 more source
Cenozoic Evolution of the North‐Eastern Mediterranean Basins
Abstract The Eastern Mediterranean lies at the junction of the African, Arabian, and Eurasian plates, a region shaped by a long and complex tectonic history. While the Levant Basin in the southern sector has been extensively studied for hydrocarbon exploration, the northern domain offshore Cyprus, Turkey, Syria, and Lebanon remains less understood.
Nicolò Bertone +6 more
wiley +1 more source

