Open Access
Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters
Publication type: Journal Article
Publication date: 2023-10-02
scimago Q2
wos Q2
SJR: 0.347
CiteScore: 4.0
Impact factor: 2.9
ISSN: 17281431, 10252495, 1728144X, 24237167, 17359244
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Total citations:
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Citations from 2024:
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(100%)
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GOST
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Dieng А., Khiznyk G. P., Poplygin V. Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters // International Journal of Engineering. 2023. Vol. 36. No. 12. pp. 2169-2174.
GOST all authors (up to 50)
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Dieng А., Khiznyk G. P., Poplygin V. Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters // International Journal of Engineering. 2023. Vol. 36. No. 12. pp. 2169-2174.
Cite this
RIS
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TY - JOUR
DO - 10.5829/ije.2023.36.12c.05
UR - https://www.ije.ir/article_177467.html
TI - Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters
T2 - International Journal of Engineering
AU - Dieng, А.
AU - Khiznyk, G. P.
AU - Poplygin, V.V
PY - 2023
DA - 2023/10/02
PB - International Digital Organization for Scientific Information
SP - 2169-2174
IS - 12
VL - 36
SN - 1728-1431
SN - 1025-2495
SN - 1728-144X
SN - 2423-7167
SN - 1735-9244
ER -
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BibTex (up to 50 authors)
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@article{2023_Dieng,
author = {А. Dieng and G. P. Khiznyk and V.V Poplygin},
title = {Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters},
journal = {International Journal of Engineering},
year = {2023},
volume = {36},
publisher = {International Digital Organization for Scientific Information},
month = {oct},
url = {https://www.ije.ir/article_177467.html},
number = {12},
pages = {2169--2174},
doi = {10.5829/ije.2023.36.12c.05}
}
Cite this
MLA
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Dieng, А., et al. “Prediction of the Efficiency of Hydraulic Fracturing Based on Reservoir Parameters.” International Journal of Engineering, vol. 36, no. 12, Oct. 2023, pp. 2169-2174. https://www.ije.ir/article_177467.html.
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