Using a synthetic data trained convolutional neural network for predicting subresolution thin layers from seismic data

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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 -

ID: 358430896