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Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder

Yusuf Falola Polina Churilova Rui Liu Chung-Kan Huang Jose F.Delgado Siddharth Misra

石油研究（英文）2025，Vol.10Issue(1)：28-44,17.

石油研究（英文）2025，Vol.10Issue(1)：28-44,17.DOI:10.1016/j.ptlrs.2024.07.001

Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder

Yusuf Falola ¹Polina Churilova ¹Rui Liu ¹Chung-Kan Huang ²Jose F.Delgado ²Siddharth Misra³

作者信息

1. Harold Vance Department of Petroleum Engineering,College of Engineering,Texas A&M University,College Station,TX,USA
2. ConocoPhillips,Houston,TX,USA
3. Harold Vance Department of Petroleum Engineering,College of Engineering,Texas A&M University,College Station,TX,USA||Department of Geology and Geophysics,College of Geosciences,Texas A&M University,College Station,TX,USA
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摘要

关键词

Autoencoders/Vector-quantized variational autoencoders(VQ-VAE)/Variational inference/Reservoir geomodel/Reparameterization/Compression

Key words

Autoencoders/Vector-quantized variational autoencoders(VQ-VAE)/Variational inference/Reservoir geomodel/Reparameterization/Compression

引用本文复制引用

Yusuf Falola,Polina Churilova,Rui Liu,Chung-Kan Huang,Jose F.Delgado,Siddharth Misra..Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder[J].石油研究（英文）,2025,10(1):28-44,17.

基金项目

This work was supported by ConocoPhillips through the Data-Driven Intelligent Engineering and Characterization(DICE)research group.Special thanks to Gaoming Li for providing valuable inputs to the project.The work would not have been possible without Gustavo Gomez and John Hand,who initiated and have been supporting the project. （DICE）

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