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Published in 2018 at "International Journal of Earth Sciences"
DOI: 10.1007/s00531-018-1620-z
Abstract: The felsic volcanics, tuff and volcaniclastic rocks within the Tadpatri Formation of Proterozoic Cuddapah basin are not extensively studied so far. It is necessary to evaluate the extrusive environment of felsic lavas with associated ash…
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Keywords:
felsic volcanics;
facies analysis;
tadpatri formation;
cuddapah basin ... See more keywords
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Published in 2019 at "Marine and Petroleum Geology"
DOI: 10.1016/j.marpetgeo.2019.06.043
Abstract: Abstract Fine-grained sedimentary formations occupy about two-thirds of the entire sedimentary sequences in nature. They have recently received great attention owing to the boom of shale oil and gas exploration. Unlike their coarse counterparts, detailed…
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Keywords:
chemo sedimentary;
sedimentary facies;
lucaogou formation;
jimusaer sag ... See more keywords
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Published in 2017 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.12504
Abstract: Seismic facies analysis is a well-established technique in the workflow followed by seismic interpreters. Typically, huge volumes of seismic data are scanned to derive maps of interesting features and find particular patterns, correlating them with…
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Keywords:
seismic facies;
facies analysis;
analysis musical;
musical attributes ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1688233
Abstract: An accurate seismic facies analysis (SFA) can provide insight into the subsurface sedimentary facies and has guiding significance for geological exploration. Many machine learning algorithms, including unsupervised, supervised, and deep learning algorithms, have been developed…
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Keywords:
som means;
multiattribute som;
seismic facies;
means clustering ... See more keywords
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Published in 2017 at "Geophysics"
DOI: 10.1190/geo2016-0121.1
Abstract: ABSTRACTSeismic facies analysis plays an important role in seismic stratigraphy. Seismic attributes have been widely applied to seismic facies analysis. One of the most important steps is to optimize the most sensitive attributes with regard…
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Keywords:
recognition feature;
seismic facies;
facies analysis;
feature parameters ... See more keywords
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Published in 2021 at "Interpretation"
DOI: 10.1190/int-2020-0059.1
Abstract: The traditional constant time window-based waveform classification method is a robust tool for seismic facies analysis. However, when the interval thickness is seismically variable, the fixed time window is not able to contain the complete…
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Keywords:
spectral clustering;
time;
window;
improved spectral ... See more keywords