Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Luqman K. Abidoye"'
Autor:
David O. Obada, Kazeem A. Salami, Ayodeji N. Oyedeji, Obinna A. Osuchukwu, Jimoh Abass, Christian Ogwuche, Naresh D. Bansod, Michael I. Ubgaja, Ibrahim U. Ibrahim, Bello Abdulkareem, Rabiu K. Olawale, Luqman K. Abidoye
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25026- (2024)
Polymeric materials are constantly exposed to aggressive environments, negatively impacting their mechanical and chemical properties. In salt, acid, or alkaline solutions, polymer materials degrade due to surface flaws, microcracks, or other irregula
Externí odkaz:
https://doaj.org/article/6e974fb8259e46c2b35592cce9486640
Autor:
Luqman K. Abidoye, Diganta Bhusan Das
Publikováno v:
Clean Technologies, Vol 3, Iss 34, Pp 563-580 (2021)
This study elucidates the effects of the particle size, carbonation time, curing time and pressure on the efficiency of carbon storage in Portland cement mortar. Using pressure chamber experiments, our findings show how carbonation efficiency increas
Publikováno v:
Nigerian Journal of Technology. 40:161-167
This paper reports the study of groundwater quality assessment in Boluwaduro community, Ofatedo in Osun State. In addition, it utilized the Artificial Neural Network (ANN) tool in MATLAB Software to simulate the water quality parameters/contaminants.
Autor:
Aremu T Oriaje, Luqman K. Abidoye, Mamdouh El Haj Assad, Ehab Hussein Bani-Hani, Bassel Soudan, Mohammad Al-Shabi
Publikováno v:
Wind Engineering. 44:181-195
Artificial neural network modelling has been employed to investigate the effects of various environmental and machine factors on the energy gain from wind farm systems. Numerical comparison of artificial neural network and nonlinear regression from X
Publikováno v:
Geo-intelligence for Sustainable Development ISBN: 9789811647673
In this chapter, the underlying principles and the effectiveness of machine learning-based techniques in the study of carbon dioxide (CO2) removal process is demonstrated though an artificial neural network (ANN) that was developed to predict the bul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daa62c09ade04fffe3f72d1e5348800a
https://doi.org/10.1007/978-981-16-4768-0_10
https://doi.org/10.1007/978-981-16-4768-0_10
Autor:
Diganta Bhusan Das, Luqman K. Abidoye
Publikováno v:
Journal of Porous Media. 22:1027-1041
The possibility of leakage of CO2 from a geological storage reservoir is of serious concern to stakeholders. In this work, high–pressure-temperature laboratory experiments were performed to demonstrate the application of a silicone membrane-sensor
Publikováno v:
Environmental Processes. 4:303-317
Developing monitoring strategies for the detection and monitoring of possible CO2 leakage or migration from existing and anticipated storage media are important because they can provide an early warning of unplanned CO2 leakage from a storage site. W
Publikováno v:
Environmental Fluid Mechanics. 16:945-963
Capillary pressure-saturation-relative permeability relationships (Pc-Sw-Kr) are functions of importance in modeling and simulations of the hydrodynamics of two-phase flow in porous media. These relationships are found to be affected by porous medium
Publikováno v:
Environmental Technology & Innovation. 20:101052
Currently, there are concerns about the safety of carbon sequestration in the geological media. To assuage this concern, scientists and engineers have the tasks to demonstrate fool-proof and comprehensive techniques that can monitor the movement, or
Autor:
Luqman K. Abidoye, Diganta Bhusan Das
Publikováno v:
Advances in Water Resources. 136:103504
Contrary to report that dynamic capillary pressure effect was insignificant in the supercritical CO2-water (scCO2-water) flow system, this work found the effect to be considerable in the displacement of water or brine by injected scCO2 in the geologi