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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Mathematical geosciences Ročník 53; číslo 6; s. 1355 - 1374
Hlavní autoři:	Wang, Detao, Chen, Guoxiong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2021 Springer Nature B.V
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!