Browsing by Author "Effiong, E. E."

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    Chemical composition of the nest and models of the metamophic polymorphism of the mud dauber wasp
    (U. P., 2015-07) Kamalu, C. I. O; Nwakaudu, M. S.; Nkuzinna, O. C.; Uzondu, F. N.; Effiong, E. E.; Obibuenyi, J. I.
    The work involves the determination of the chemical composition of the nest and modeling of metamorphors polyphenism of the Mud Dauber wasp. The samples were analyzed at Fugro consultants (Nig.) Ltd; a high standard laboratory with sophisticated equipments, which aided in producing an acceptable result considering the state of the place of analysis. Research showed that wasp generally excretes saliva to the mixture of water and their various building materials which include paper and clay soil. The composition of their saliva was found to contain Phosphorus, Magnesium, Sulphur, Chlorine, Potassium, and Calcium. The result showed that Phenol and Iron were found to have been present in the saliva, while nest showed a decrease in the quantity of potassium in ordinary clay soil. More, so, the models developed with the data obtained from the study of the specie, Brachymenes dyscherus, actually represented the biological and biochemical systems. The methods of analysis used are those stipulated by institutions such as America Public Health Association (APHA), America Society for Testing and Material (ASTM), and Chemical Analysis of Ecological Materials (CAEM)
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    Modeling of Nigerian peak petroleum resources depletion using turbulent flow regime with dead time
    (U. P., 2015-07) Kamalu, C. I.; Nnebue, N. C.; Madu, I. K.; Kamen, F. L.; Effiong, E. E.; Obibuenyi, J. I.; Uzoije, A. P.
    Seven simple physical non-linear, mathematical models for petroleum resource depletion for Nigeria were developed by varying the input functions of the laplace domain of the models. The models were validated with data collected from the Department of Petroleum Resources (DPR), Ministry of Petroleum Resources, Nigeria, using MATLAB 7.9 software. As a control, these models were compared with an existing model by Hubert and found to be generally better. Two best models (III and V), with R2 of 99.696% (oil), 99.680% (gas) and R2 of 99.695% (oil), 99.641% (gas) respectively compared to Hubbert’s model with R2 of 98.67% (oil), 99.26% (gas), were selected out of seven (VII) models. The plots of the derivatives of the models which gave the annual production profile were also used to determine the peak and exhaustion periods for both oil and gas. The results were within range 2062 - 2121AD and 748982AD (infinity) respectively for oil production peak and exhaustion, and within the value 2782AD and 13853AD (infinity) respectively for gas production peak and exhaustion from 1957AD. The oil and gas ultimate recovery reserves were subsequently determined at 641.3TB and 5729Qscf respectively. Hence, even though the oil will peak before gas, gas will exhaust before oil. However, this can be due to the slight lower R2 of gas as compared to that of the oil
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    Prediction and analysis of variable parameters of some established models in batch beer fermentation
    (U. P., 2019) Kamalu, C. I. O.; Onuoha, O. E.; Uzondu, F. N.; Effiong, E. E.; Obibuenyi, I. J.; Onyelucheya, O. E.
    Abstract:In this work, established models of renowned scholars in fermentation technology are analytically solved. Fermentation experiments were also performed on the production of ethanol and biomass from substrate (grain i.e. malted barley) with time and used to validate the analytical solutions of the scholarly models. The result shows that the models were real and true to life as they gave coefficient of correlation of 99.63%. It is also observed that during this fermentation, there was serious interaction between substrate concentration and ethanol concentration, substrate concentration and biomass concentration. From this model, it was found that the yield of ethanol (product) was 79.34%, yield of biomass was 43.8%, initial ethanol before fermentation was 1.45g/lit. Substrate at the beginning, S0= 8.114g/lit. and initial biomass X0 was 0.8098g/lit. This result can be applied in fermentation planning in any brewing company of research centers to predict variation of certain parameters.