E-LIB Suche - Ergebnisse für: Akpabio, Julius U.

1

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/..

2

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/..

3

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/..

4

Evaluating the locally sourced materials as fluid loss cont..:

Okon, Anietie N. ; Akpabio, Julius U. ; Tugwell, Kilaliba W.
Heliyon. 6 (2020) 5 - p. e04091 , 2020

Link: https://doi.org/10.1016/..

5

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/..

6

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/..

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/..

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/..

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/..

10

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...

11

Evaluating the locally sourced materials as fluid loss cont..:

Anietie N. Okon ; Julius U. Akpabio ; Kilaliba W. Tugwell
http://www.sciencedirect.com/science/article/pii/S240584402030935X. , 2020

Link: https://doi.org/10.1016/..

12

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/..

13

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/..

14

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

Okorie E. Agwu ; Julius U. Akpabio ; Glory W. Archibong
http://www.sciencedirect.com/science/article/pii/S2405844019357196. , 2019

Link: https://doi.org/10.1016/..

15

Water Coning Prediction Review and Control: Developing an I..:

Anietie N. Okon ; Dulu Appah ; Julius U. Akpabio
https://zenodo.org/record/823459. , 2017

Link: https://zenodo.org/recor..