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Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2018.11.023
Abstract: Abstract The aim of this paper is the development of an effective model based on deep learning for geological facies classification in wells. Facies classification is carried out by studying the lithological properties of rocks,…
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Keywords:
facies classification;
model;
neural network;
well log ... See more keywords
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Published in 2020 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2020.107834
Abstract: Abstract For the Quantitative classification of facies is crucial to link seismic data with its corresponding lithology for the evaluation of reservoir properties. During the past decade, seismic volumes have increased to the degree that…
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Keywords:
spatial pseudo;
pseudo;
pseudo labeling;
semi supervised ... See more keywords
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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…
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Keywords:
explainable deep;
classification;
learning supervised;
facies classification ... See more keywords
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Published in 2025 at "GEOPHYSICS"
DOI: 10.1190/geo2024-0482.1
Abstract: Facies classification based on amplitude-versus-offset (AVO) attributes is one of the key elements of seismic reservoir characterization, since facies models are often used to describe the spatial variability of petrophysical properties in the reservoir. At…
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Keywords:
probability;
bayesian avo;
facies classification;
avo ... See more keywords
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Published in 2025 at "Earth System Science Data"
DOI: 10.5194/essd-17-595-2025
Abstract: Abstract. Seismic facies classification is crucial for seismic stratigraphic interpretation and hydrocarbon reservoir characterization but remains a tedious and time-consuming task that requires significant manual effort. Data-driven deep-learning approaches are highly promising for automating the…
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Keywords:
benchmark dataset;
seismic facies;
dataset;
facies classification ... See more keywords