Browsing by Author "Falode, O. A."

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Attitudes and practices towards abate application in a village in Akinyele local government area of Oyo State, Nigeria
(Klobex Academic Publishers, 2001-09) Falode, O. A.; Odaibo, A. B.
A study was carried out in Oyeteju Village in Akinyele Local Government Area of Oyo State to determine attitudes of the villagers to treating their drinking pond with Abate (Temephos). The findings showed that all women respondents fetched all their drinking water from the village pond. They all claimed to filter the drinking water, 83.3% claimed to add alum while 25% claimed to boil water. Only 75% knew why Abate was applied to pond despite previous education on Abate. 41.7% support Abate application because it will kill the guineaworm 'germs’ in water while 25% Support it because it will bring about good health to villagers. All the respondents claimed not to be affected by the application of Abate to pond water despite the fact that 33.3% said the pond water turned black while 8.3% said it turned reddish. Their strong belief in their pond which is their god and the colour change did not make the villagers go against the application of Abate to their pond. This was so because health education on Abate preceded its application. It was unfortunate however that the Abate application was not sustained in the village. Abate application in this village was accepted as a temporary measure while villagers wait expectantly for their own safe source of water preferably a borehole. The study shows the need for health education to proceed the application of Abate and the need to train villagers on how to apply the Chemical in order to sustain the application for effective control.
Cyclopoid copepods in domestic water sources in three villages in Akinyele local government area of Oyo State, Nigeria
(2002) Falode, O. A.; Odaibo, A. B.
The distribution and infective rates of cyclopoid copepods ( the vectors of guineaworm, Dracunculus medinensis ) in ponds was studied in 3 infected villages in Akinyele Local Government Area of Oyo state, Nigeria during the period of September 1994 to January 1996 (the peak period of guineaworm eradication activities in the country). The density of cyclopoid copepods was highest in the dry season, reaching 149.8 copepods/litre in February 1995. The abate (Temephos) application and amount of rainfall affected the cyclops in ponds. Thermocyclops, Mesocyclops and Halicyclops species of cyclops were recovered from the ponds while none was found to be infected with D.medinensis larvae.
Management and attitudes of villagers towards boreholes in guineawarm eradication in Akinyele local government Area of Oyo State, Nigeria
(2002) Falode, O. A.; Odaibo, A. B.
Studies on the management and attitudes of villagers to boreholes as a source of water in guineaworm eradication was carried out in 4 villages, Alagba, Deinlokun, Iware and Idi-omo in Akinyele Local Government Area of Oyo State, Nigeria.The findings showed that the borehole reduced or eradicated the guineawonn disease in villages studied but its reliability and efficiency was threatened by insufficient borehole water (especially in villages with a population exceeding 500) and lack of a maintenance schedule by the local government area. It was concluded that it is necessary to carefully consider the reliability of the borehole and the size and the distribution of the population they will serve before they are constructed, in order that the full benefit of water supply intervention can be achieved
Occurrence and distribution of rhabditis axei (rhabditida; rhabditidae) in African giant snails in southwestern Nigeria
(De Gruyter Open Ltd., 2000) Odaibo, A. B.; Dehinbo, A. J.; Olofintoye, L. K.; Falode, O. A.
African giant snails (Archachatina marginata ovum Pfeffer, 1858; A. marginata saturalis Philippi, 1849 and Achatina achatina Linne, 1758) were examined for the occurrence of Rhabditis axei Cobbold. 1884.Differences in parasite intensity between size groups of snails were highly significant (P < 0.05) for die 3 species compared. The mean egg and larval output per gram of faeces was higher in larger snails. The mean intensity of the nematode eggs excreted was higher (P < 0.05 ) than the mean of larval output for the 3 species of snails. The distribution of R. axei within the snail hosts revealed site preferences. They are mostly (88 %) located in the rectum of the snails.
Prediction of generalised and localised carbon steel corrosion using improved Norsok and Papavinasam models
(2017) Falode, O. A.; Akintola, S. A.; Akintomiwa, I.
In this study, Norsok and Papavinasam models have been improved so as to reduce the model limitations. The Norsok model was improved by accounting for 3 phase flow in calculating the wall shear stress and correcting for oil wetting and formation of protective layers in steel pipes during hydrocarbon transportation while the Papavinasam model was improved by using the Weibull distribution to account for time effect in corrosion predictions. The corrosion rates predicted fairly agreed with the field values. The improved models are user friendly and readily available and thus applicable for corrosion studies in the oil and gas industry.
Prediction of oilfield scale formation using artificial neural network (ANN)
(SCIENCEDOMAIN International, 2016-07) Falode, O. A.; Udomboso, C.; Ebere, F.
Scale formation and deposition is a recurring problem in many oil producing fields leading to operational problems, problems in reservoirs, pumps, valves and topside facilities. Scale is described economically as a menace to an oil-field because its build-up clogs the flow lines and causes loss of millions of dollars yearly. The ability to predict the onset and amount of scale formation has been a major challenge in the oil industry. Previous models for predicting scale formation have focused mainly on thermodynamics and limited solubility data, and can predict only the potential or tendency to form scale. However, no studies have considered the influence of kinetic and transport factors. In this paper, a comprehensive and robust model incorporating other factors that have been ignored in past studies is developed using the technique of artificial neural network (ANN). Field data on two types of scale namely Barium and Calcium sulphate were obtained, processed, trained and tested with Artificial Neural Network. The model obtained was validated with actual data. Results show that at constant pressure, the neural network structure with optimum performance for BaSO(4) was ANN {1,2,1} with the lowest Mean Square Value (MSE) of 0.0025 and the highest correlation determination R(2) of 0.9966 while at constant temperature, it was ANN{1,1,1} with MSE of 0.0017 and R(2) of 0.9956. The neural network structure with optimum performance for CaSO4 precipitation kinetics with temperature and pressure was ANN{2,5,1} with MSE of 8.7745e-005 and R(2) of 0.8206 while at constant flow rate it was ANN{1,4,1} with MSE of 2.3007e-006 and R(2) of 0.9953. This gave a very close agreement with actual data in terms of prediction and performance. The results of this study therefore will greatly help to reduce the amount of risk incurred (such as NORM, etc.) due to the deposition and formation of scale in an oilfieldthe cost of stimulating an oil flow line and also improve the productivity of an oil well, hence, increase revenue to the oil industry.