Seismic Stratum Segmentation Using an Encoder–Decoder Convolutional Neural Network

As an essential step in reservoir characterization, seismic stratigraphic interpretation is often dependent on the development of powerful computer-based interpretation tools that can simulate the intelligence of experienced interpreters. With the success of machine/deep learning applications in man...

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Bibliographic Details
Published in:	Mathematical geosciences Vol. 53; no. 6; pp. 1355 - 1374
Main Authors:	Wang, Detao, Chen, Guoxiong
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2021 Springer Nature B.V
Subjects:	Artificial neural networks Bayesian analysis Chemistry and Earth Sciences Coders Computer Science Deep learning Earth and Environmental Science Earth Sciences Geotechnical Engineering & Applied Earth Sciences Hydrogeology Image classification Image segmentation Intelligence Interpreters Learning algorithms Machine learning Mathematical models Neural networks Physics Pixels Probability theory Reservoirs Seismic activity Statistics for Engineering Stratigraphy Training Deep learning Seismic interpretation Stratum segmentation U-Net
ISSN:	1874-8961, 1874-8953
Online Access:	Get full text
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