Using Synthetic Data Trained Convolutional Neural Network for Predicting Sub-resolution Thin Layers from Seismic Data

Dongfang Qu^*, Klaus Mosegaard, Runhai Feng, Lars Nielsen

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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@article{18225aafdd0e4ce698c3cf6bc4eba3fb,

title = "Using Synthetic Data Trained Convolutional Neural Network for Predicting Sub-resolution Thin Layers from Seismic Data",

author = "Dongfang Qu and Klaus Mosegaard and Runhai Feng and Lars Nielsen",

year = "2023",

month = may,

day = "1",

doi = "10.31223/X5QD2T",

language = "English",

volume = "11",

journal = "Interpretation",

issn = "0020-9643",

publisher = "Union Theological Seminary",

number = "2",

}

TY - JOUR

T1 - Using Synthetic Data Trained Convolutional Neural Network for Predicting Sub-resolution Thin Layers from Seismic Data

AU - Qu, Dongfang

AU - Mosegaard, Klaus

AU - Feng, Runhai

AU - Nielsen, Lars

PY - 2023/5/1

Y1 - 2023/5/1

U2 - 10.31223/X5QD2T

DO - 10.31223/X5QD2T

M3 - Journal article

VL - 11

JO - Interpretation

JF - Interpretation

SN - 0020-9643

IS - 2

M1 - 1M-T456

ER -