Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models. / Krishna, Shwetank; Irfan, Sayed Ameenuddin; Keshavarz, Sahar et al.
in: Multiscale and multidisciplinary modeling, experiments and design, 24.07.2024.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Bibtex - Download

@article{6eb5a1b0837445e4ac639e052cb22591,
title = "Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models",
author = "Shwetank Krishna and Irfan, {Sayed Ameenuddin} and Sahar Keshavarz and Gerhard Thonhauser and Ilyas, {Suhaib Umer}",
year = "2024",
month = jul,
day = "24",
doi = "10.1007/s41939-024-00542-z",
language = "Undefined/Unknown",
journal = "Multiscale and multidisciplinary modeling, experiments and design",
issn = "2520-8179",
publisher = "Springer Science + Business Media",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Smart predictions of petrophysical formation pore pressure via robust data-driven intelligent models

AU - Krishna, Shwetank

AU - Irfan, Sayed Ameenuddin

AU - Keshavarz, Sahar

AU - Thonhauser, Gerhard

AU - Ilyas, Suhaib Umer

PY - 2024/7/24

Y1 - 2024/7/24

U2 - 10.1007/s41939-024-00542-z

DO - 10.1007/s41939-024-00542-z

M3 - Article

JO - Multiscale and multidisciplinary modeling, experiments and design

JF - Multiscale and multidisciplinary modeling, experiments and design

SN - 2520-8179

ER -