Standard
Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data. / Qu, Dongfang; Mosegaard, Klaus; Feng, Runhai; Nielsen, Lars.
I:
Interpretation, Bind 11, Nr. 2, 21.04.2023, s. T339-T347.
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Harvard
Qu, D
, Mosegaard, K, Feng, R
& Nielsen, L 2023, '
Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data',
Interpretation, bind 11, nr. 2, s. T339-T347.
https://doi.org/10.1190/INT-2022-0059.1
APA
Qu, D.
, Mosegaard, K., Feng, R.
, & Nielsen, L. (2023).
Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data.
Interpretation,
11(2), T339-T347.
https://doi.org/10.1190/INT-2022-0059.1
Vancouver
Qu D
, Mosegaard K, Feng R
, Nielsen L.
Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data.
Interpretation. 2023 apr. 21;11(2):T339-T347.
https://doi.org/10.1190/INT-2022-0059.1
Author
Qu, Dongfang ; Mosegaard, Klaus ; Feng, Runhai ; Nielsen, Lars. / Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data. I: Interpretation. 2023 ; Bind 11, Nr. 2. s. T339-T347.
Bibtex
@article{4090c5e27835478ea53f61387463e4e4,
title = "Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data",
author = "Dongfang Qu and Klaus Mosegaard and Runhai Feng and Lars Nielsen",
year = "2023",
month = apr,
day = "21",
doi = "10.1190/INT-2022-0059.1",
language = "English",
volume = "11",
pages = "T339--T347",
journal = "Interpretation",
issn = "0020-9643",
publisher = "Union Theological Seminary",
number = "2",
}
RIS
TY - JOUR
T1 - Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data
AU - Qu, Dongfang
AU - Mosegaard, Klaus
AU - Feng, Runhai
AU - Nielsen, Lars
PY - 2023/4/21
Y1 - 2023/4/21
U2 - 10.1190/INT-2022-0059.1
DO - 10.1190/INT-2022-0059.1
M3 - Journal article
VL - 11
SP - T339-T347
JO - Interpretation
JF - Interpretation
SN - 0020-9643
IS - 2
ER -