Seismic Facies Visualization Analysis Method of SOM Corrected by Uniform Manifold Approximation and Projection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3260105
Abstract: As a common seismic facies visualization analysis method, self-organizing map (SOM) projects the waveform or seismic attribute vectors into a two-dimensional topological plane in a nonlinear way, which can effectively and efficiently discover the topological… read more here.
Keywords: facies visualization; visualization; structure; analysis method ... See more keywords
Seismic Facies Analysis: A Deep Domain Adaptation Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3151883
Abstract: Deep neural networks (DNNs) can learn accurately from large quantities of labeled input data but often fail to do so when labeled data are scarce. DNNs sometimes fail to generalize on test data sampled from… read more here.
Keywords: seismic facies; domain; deep domain; domain adaptation ... See more keywords
Explainable Deep Learning for Supervised Seismic Facies Classification Using Intrinsic Method
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3236500
Abstract: Deep-learning (DL) techniques have been proposed to solve geophysical seismic facies classification problems without introducing the subjectivity of human interpreters’ decisions. However, such DL algorithms are “black boxes” by nature, and the underlying basis can… read more here.
Keywords: explainable deep; classification; learning supervised; facies classification ... See more keywords
Seismic Facies Segmentation via a Segformer-Based Specific Encoder–Decoder–Hypercolumns Scheme
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3244037
Abstract: Seismic facies classification plays an important role in oil and gas reservoir interpretation. In the past few years, convolution neural network (CNN)-based models have been widely used in supervised seismic facies classification. However, to improve… read more here.
Keywords: specific encoder; segformer; facies segmentation; segformer hyper ... See more keywords
Seismic facies analysis through musical attributes
Sign Up to like & getrecommendations! 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… read more here.
Keywords: seismic facies; facies analysis; analysis musical; musical attributes ... See more keywords
Seismic Facies Analysis Using the Multiattribute SOM-K-Means Clustering
Sign Up to like & getrecommendations! 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… read more here.
Keywords: som means; multiattribute som; seismic facies; means clustering ... See more keywords
Seismic facies analysis based on speech recognition feature parameters
Sign Up to like & getrecommendations! 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… read more here.
Keywords: recognition feature; seismic facies; facies analysis; feature parameters ... See more keywords
Automatic seismic facies interpretation using supervised deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Geophysics"
DOI: 10.1190/geo2019-0425.1
Abstract: Seismic facies interpretation supports subsurface geologic environment analyses and reservoir predictions. Traditional interpretation methods require much manual work, and they heavily depend on the experience and expertise of the interpreters. We have developed advanced algorithms… read more here.
Keywords: seismic facies; supervised deep; deep learning; facies interpretation ... See more keywords
Improved spectral clustering approach — A new tool for unsupervised seismic facies analysis of variable window length
Sign Up to like & getrecommendations! 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… read more here.
Keywords: spectral clustering; time; window; improved spectral ... See more keywords
Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification
Sign Up to like & getrecommendations! Published in 2021 at "Interpretation"
DOI: 10.1190/int-2020-0102.1
Abstract: Machine learning (ML) algorithms, such as principal component analysis, independent component analysis, self-organizing maps, and artificial neural networks, have been used by geoscientists to not only accelerate the interpretation of their data, but also to… read more here.
Keywords: seismic facies; probabilistic neural; exhaustive probabilistic; neural network ... See more keywords