Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emmanuel I. Akaerue"'
Autor:
Stephen E. Ekwok, Ahmed M. Eldosouky, Khalid S. Essa, Anthony M. George, Kamal Abdelrahman, Mohammed S. Fnais, Peter Andráš, Emmanuel I. Akaerue, Anthony E. Akpan
Publikováno v:
Minerals, Vol 13, Iss 9, p 1209 (2023)
The particle swamp optimization procedure was applied to high-quality magnetic data acquired from the Precambrian Obudu basement complex in Nigeria with the object of estimating the distinctive body parameters (depth (z), index angle (θ), amplitude
Externí odkaz:
https://doaj.org/article/e6e4ae58309843bc9dca8b7efda7ffde
Publikováno v:
Heliyon, Vol 8, Iss 3, Pp e09027- (2022)
The inefficiencies and uncertainties surrounding solutions from existing inversion methods have necessitated investigation for more efficient techniques for the inversion of ill-posed magnetic problems. In this study, the Social Spider Optimization (
Externí odkaz:
https://doaj.org/article/fa3e95f718e94084b278c0b4abbada15
Autor:
Emmanuel I. Akaerue, Joseph N. Nnakuba, Job G. Urang, Ebong D. Ebong, Joseph N. Eradiri, Anthony N. Ugbaja
Publikováno v:
Journal of Petroleum Exploration and Production Technology. 12:2381-2403
Sequence stratigraphy and Electrosequence of the Don-Field Central Swamp depobelt of the Niger Delta Basin, was carried out using well logs, biostratigraphic and core data. The aim of this study is to re-characterise and revalidate the reservoirs wit
Publikováno v:
Heliyon. 8(3)
The inefficiencies and uncertainties surrounding solutions from existing inversion methods have necessitated investigation for more efficient techniques for the inversion of ill-posed magnetic problems. In this study, the Social Spider Optimization (
Publikováno v:
Journal of Applied Geophysics. 183:104207
A new approach based on artificial neural network and standardized non-linear regression analysis is proposed for the prediction of reservoir properties from limited well log data. Two separate multi-layer-perceptron neural networks using the Bayesia