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

Dongfang Qu, Klaus Mosegaard, Runhai Feng, Lars Nielsen

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@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",

}

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

SN - 0020-9643

VL - 11

SP - T339-T347

JO - Interpretation

JF - Interpretation

IS - 2

ER -