Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles

Phillip McElroy; Heber Bibang; Seyedhossein Emadibaladehi; Yildirim Kocoglu; Athar Hussain; Marshall Watson

doi:10.1016/j.jngse.2021.103816

Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles

Phillip McElroy, Heber Bibang, Seyedhossein Emadibaladehi, Yildirim Kocoglu, Athar Hussain, Marshall Watson

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Journal of Natural Gas Science and Engineering
DOIs	https://doi.org/10.1016/j.jngse.2021.103816
State	Published - Apr 2021

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@article{65a9231149fa4461bfe08046abeaad19,

title = "Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles",

author = "Phillip McElroy and Heber Bibang and Seyedhossein Emadibaladehi and Yildirim Kocoglu and Athar Hussain and Marshall Watson",

year = "2021",

month = apr,

doi = "10.1016/j.jngse.2021.103816",

language = "English",

journal = "Journal of Natural Gas Science and Engineering",

publisher = "Elsevier",

}

Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles. / McElroy, Phillip; Bibang, Heber; Emadibaladehi, Seyedhossein; Kocoglu, Yildirim; Hussain, Athar; Watson, Marshall.

In: Journal of Natural Gas Science and Engineering, 04.2021.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Artificial neural network (ANN) approach to predict unconfined compressive strength (UCS) of oil and gas well cement reinforced with nanoparticles

AU - McElroy, Phillip

AU - Bibang, Heber

AU - Emadibaladehi, Seyedhossein

AU - Kocoglu, Yildirim

AU - Hussain, Athar

AU - Watson, Marshall

PY - 2021/4

Y1 - 2021/4

U2 - 10.1016/j.jngse.2021.103816

DO - 10.1016/j.jngse.2021.103816

M3 - Article

JO - Journal of Natural Gas Science and Engineering

JF - Journal of Natural Gas Science and Engineering

ER -