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Agwu, Okorie E.
110  Ergebnisse:
Personensuche X
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1

Evaluation of influential parameters for supersonic dehydra..:

Okoro, Emmanuel E. ; Igbinedion, Uyiosa ; Aimikhe, Victor..
Petroleum Research.  7 (2022)  3 - p. 372-383 , 2022
Link: https://doi.org/10.1016/..
 
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2

A comprehensive review of laboratory, field and modelling s..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Ekpenyong, Moses E....
Journal of Natural Gas Science and Engineering.  94 (2021)  - p. 104046 , 2021
Link: https://doi.org/10.1016/..
 
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3

A critical review of drilling mud rheological models:

Agwu, Okorie E. ; Akpabio, Julius U. ; Ekpenyong, Moses E....
Journal of Petroleum Science and Engineering.  203 (2021)  - p. 108659 , 2021
Link: https://doi.org/10.1016/..
 
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4

Artificial neural network model for predicting drill cuttin..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Dosunmu, Adewale
Petroleum.  6 (2020)  4 - p. 340-352 , 2020
Link: https://doi.org/10.1016/..
 
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5

Rice husk and saw dust as filter loss control agents for wa..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Archibong, Glory W.
Heliyon.  5 (2019)  7 - p. e02059 , 2019
Link: https://doi.org/10.1016/..
 
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6

Artificial neural network model for predicting the density ..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Dosunmu, Adewale
Journal of Petroleum Exploration and Production Technology.  10 (2019)  3 - p. 1081-1095 , 2019
Link: https://doi.org/10.1007/..
 
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7

Settling velocity of drill cuttings in drilling fluids: A r..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Alabi, Sunday B..
Powder Technology.  339 (2018)  - p. 728-746 , 2018
Link: https://doi.org/10.1016/..
 
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8

Using agro-waste materials as possible filter loss control ..:

Agwu, Okorie E. ; Akpabio, Julius U.
Journal of Petroleum Science and Engineering.  163 (2018)  - p. 185-198 , 2018
Link: https://doi.org/10.1016/..
 
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9

Artificial intelligence techniques and their applications i..:

Agwu, Okorie E. ; Akpabio, Julius U. ; Alabi, Sunday B..
Journal of Petroleum Science and Engineering.  167 (2018)  - p. 300-315 , 2018
Link: https://doi.org/10.1016/..
 
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10

A Comparative Study of Diesel Oil and Soybean Oil as Oil-Ba..:

Agwu, Okorie E. ; Okon, Anietie N. ; Udoh, Francis D.
Journal of Petroleum Engineering.  2015 (2015)  - p. 1-10 , 2015
Link: https://doi.org/10.1155/..
 
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11

Rice husk and saw dust as filter loss control agents for wa..:

Agwu, Okorie E ; Akpabio, Julius U ; Archibong, Glory W
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657021/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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12

Modelling oil and gas flow rate through chokes: A critical ..:

Agwu, Okorie Ekwe ; Okoro, Emmanuel Emeka ; Sanni, Samuel E.
Journal of Petroleum Science and Engineering.  208 (2022)  - p. 109775 , 2022
Link: https://doi.org/10.1016/..
 
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13

Evaluation of influential parameters for supersonic dehydra..:

Emmanuel E. Okoro ; Uyiosa Igbinedion ; Victor Aimikhe..
http://www.sciencedirect.com/science/article/pii/S2096249521000971.  , 2022
Link: https://doi.org/10.1016/..
 
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14

Artificial neural network model for predicting drill cuttin..:

Okorie E. Agwu ; Julius U. Akpabio ; Adewale Dosunmu
http://www.sciencedirect.com/science/article/pii/S2405656119301142.  , 2020
Link: https://doi.org/10.1016/..
 
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15

Artificial neural network model for predicting the density ..:

Okorie E. Agwu ; Julius U. Akpabio ; Adewale Dosunmu
http://link.springer.com/article/10.1007/s13202-019-00802-6.  , 2019
Link: https://doi.org/10.1007/..
 
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