American Journal of Mining and Metallurgy
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American Journal of Mining and Metallurgy. 2015, 3(1), 9-14
DOI: 10.12691/ajmm-3-1-2
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Simulative Analysis of Emitted Carbon during Gas Flaring Based on Quantified Magnitudes of Produced and Flared Gases

C. I. Nwoye1, , I. E. Nwosu2, N. I. Amalu3, S. O. Nwakpa1, M. A. Allen4 and W. C. Onyia5

1Department of Metallurgical and Materials Engineering, Nnamdi Azikiwe University Awka, Anambra State, Nigeria

2Department of Environmental Technology, Federal University of Technology, Owerri, Nigeria

3Project Development Institute Enugu, Nigeria

4Department of Mechanical Engineering, Micheal Okpara University, Umuahia, Abia State, Nigeria

5Department of Metallurgical and Materials Engineering, Enugu State University of Science &Technology, Enugu, Enugu State, Nigeria

Pub. Date: January 03, 2015

Cite this paper:
C. I. Nwoye, I. E. Nwosu, N. I. Amalu, S. O. Nwakpa, M. A. Allen and W. C. Onyia. Simulative Analysis of Emitted Carbon during Gas Flaring Based on Quantified Magnitudes of Produced and Flared Gases. American Journal of Mining and Metallurgy. 2015; 3(1):9-14. doi: 10.12691/ajmm-3-1-2


This paper presents a simulative analysis of emitted carbon during gas flaring based on quantified magnitudes of produced and flared gases. Results from both experiment and model prediction show that the quantity of emitted gas increases with increase in both total gas produced (TGP) and total gas flared (TGF). A two-factorial model was derived, validated and used for the empirical analysis. The derived model showed that emitted carbon is a linear function of TGP and TGF. The validity of the derived model expressed as: ξ = 0.0513 ₰ + 0.0776 ϑ + 30.7738 was rooted in the model core expression ξ - 30.7738 = 0.0513 ₰ + 0.0776 ϑ where both sides of the expression are correspondingly approximately equal. Results from evaluations indicated that the standard error incurred in predicting emitted carbon for each value of the TGP & TGF considered, as obtained from experiment, derived model and regression model were 14.2963, 7.4141 and 14.823 & 1.3657, 7.4084 and 0.0039 % respectively. Further evaluation indicates that emitted carbon per unit TGF as obtained from experiment; derived model and regression model were 0.155, 0.154 and 0.155 Tonnes/Mscfd-1 respectively. Comparative analysis of the correlations between emitted carbon and TGP & TGF as obtained from experiment; derived model and regression model indicated that they were all > 0.99. The maximum deviation of the model-predicted emitted carbon (from experimental results) was less than 3%. This translated into over 97% operational confidence for the derived model as well as over 0.97 reliability response coefficients of emitted carbon to TGP and TGF.

emitted carbon prediction total gas produced total gas flared flaring process

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[1]  Onyejekwe, I. M. (2012). Health Impact Analyses of Gas Flaring in the Niger Delta. IREJEST, 9 (1): 94-100.
[2]  Abraham, A, and Baikunth N., (2000). “Hybrid Intelligent Systems: A Review of a decade of Research”, School of Computing and Information Technology, Faculty of Information Technology, Monash University, Australia, Technical Report Series, 5 (2000): 1-55.
[3]  Berenji, H. R. and Khedkar, P. (1992). “Learning and Tuning Fuzzy Logic Controllers through Reinforcements”, IEEE Transactions on Neural Networks, 3: 724-740.
[4]  Czogala, E. and Leski, J. (2000). “Neuro-Fuzzy Intelligent Systems, Studies in Fuzziness and Soft Computing”, Springer Verlag, Germany.
[5]  Ezzati, M. and Kammen, D. M. (2002). Household Energy, Indoor Air Pollution and Health in Developing Countries. Knowledge Base for Effective Interventions. pp 12.
[6]  Hewitt, D. N., Sturges, W. T., and Noa, A. (1995).Global Atmospheric Chemical Changes, New York. Chapman and Hall. pp 56.
[7]  Botkin, D. B. and Kella, E. A. (1998): Environmental Science, Earth as living Planet. Second Edition. John Wiley and Sons, Canada. pp 123.
[8]  Kindzierski, W. D. (2000). Human Environment Exposure to Hazardous Air Pollutants from Gas Flare. Environmental Reviews. 8: 41-62.
[9]  Strosher, M. (1996).Investigation of Flare Gas Emissions in Alberta, Canada: Alberta Research Council.
[10]  Manby, B., (1999). The Price of Oil: Corporate Responsibilty and Human Rights Violations in Nigerians Oil Producing Communities. Human Right Watch New York. pp. 202.
[11]  Selective catalytic reduction, (SCR) De-NOx Technologies,
[12]  Selective non-catalytic reduction (SNCR), De-NOx Technologies,
[13]  Sulfur Dioxide Scrubbers, Duke Energy,
[14]  Nwoye, C. I. (2008). Data Analytical Memory; C-NIKBRAN.