Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems

Su Jiang, Mun-Hong Hui, Louis J. Durlofsky

Open source

DOI: 10.3389/fams.2021.686754
Published: 2021-07-12
Container: Frontiers in Applied Mathematics and Statistics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fams.2021.686754,
  title = {Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems},
  author = {Su Jiang and Mun-Hong Hui and Louis J. Durlofsky},
  year = {2021},
  journal = {Frontiers in Applied Mathematics and Statistics},
  doi = {10.3389/fams.2021.686754},
  url = {https://doi.org/10.3389/fams.2021.686754}
}

RIS

TY  - JOUR
TI  - Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems
AU  - Su Jiang
AU  - Mun-Hong Hui
AU  - Louis J. Durlofsky
PY  - 2021
JO  - Frontiers in Applied Mathematics and Statistics
DO  - 10.3389/fams.2021.686754
UR  - https://doi.org/10.3389/fams.2021.686754
ER  -

APA

Jiang, S., Hui, M., & Durlofsky, L. J. (2021). Data-Space Inversion With a Recurrent Autoencoder for Naturally Fractured Systems. Frontiers in Applied Mathematics and Statistics. https://doi.org/10.3389/fams.2021.686754

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crossref · retrieved 2026-09-25T06:24:21.917Z