Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector

Okwu Modestus Okechukwu; Thaddeus C. Nwaoha; Ombor Garrick

doi:doi:10.11648/j.ijmea.20160403.11

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Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector

Okwu Modestus Okechukwu, Thaddeus C. Nwaoha, Ombor Garrick

Published in International Journal of Mechanical Engineering and Applications (Volume 4, Issue 3)

Received: 9 May 2016 Accepted: 21 May 2016 Published: 6 June 2016

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Abstract

In this research, Markov theoretical approach (MTA) was used to forecast the severity of risk workers were exposed to in the oil and gas industry and to determine the average period of time it would take workers to get exposed to menace of less severity and the possibility of transiting to a state where risk is high. The perils were classified into four states which include: catastrophic, critical, marginal and negligible. A solution procedure for addressing industrial hazards was developed from Markov. Fifty (50) workers in Warri Refining and Petrochemical Company (WRPC) were randomly selected for the purpose of questionnaire administration. Analysis of the data was carried out using QM software. The results showed that 56.66% of workers in marginal state would likely move to catastrophic state, while 43.34% of workers in marginal state would probably transit to critical state. Also 41.32% of workers in negligible state would move to a catastrophic state, while 58.68% of workers in negligible state would likely move to critical state within an average period of 2 to 3 years. It is therefore recommended that provision of personal protective equipment and appropriate healthcare facilities be made, risk assessment of all workers be continuously carried out; workers must be properly trained on regular basis and the enforcement and strengthening of existing legislation effectively carried out to dispel these hazards.

Published in	International Journal of Mechanical Engineering and Applications (Volume 4, Issue 3)
DOI	10.11648/j.ijmea.20160403.11
Page(s)	103-108
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Markov Chain, Catastrophic State, Critical State, Negligible State, Marginal State

References

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[5]	Monday, O. A. (2013). Occupational health and safety in the oil and gas industry, Journal of Research in National Development JORIND, 11(2).
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[8]	Amol, P. (2011). Hazard identification and risk analysis in mining industry, Masters Degree Thesis in Mining Engineering, National Institute of Technology, Rourkela.
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[10]	Paul (2002), Occupational Health and Safety in the Oil and Gas Industry in Nigeria. Journal of Safety Engineering, 11, 25-30.
[11]	Jelemenesky, L., Harisova, J. and Markos, J., (2003). Reliable risk estimation in the risk analysis of chemical industry case study: Ammonia storage pressurized spherical tank. 30th International Conference of the Slovak Society of Chemical Engineering, 58, 48-54.
[12]	Dziubinski, M., Fratczak, M. and Markowski, A. S., (2006), Pipeline failure and its possible consequences. Journal of Loss Prevention in the Process Industries, 19, 399-408.
[13]	Igboanugo A. C. (2010). Markov Chain Analysis of Accident Data: The Case of an Oil and Gas Firm in the Niger Delta Area of Nigeria, Journal of Engineering Research in Africa, 1, 29-38.
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APA Style

Okwu Modestus Okechukwu, Thaddeus C. Nwaoha, Ombor Garrick. (2016). Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. International Journal of Mechanical Engineering and Applications, 4(3), 103-108. https://doi.org/10.11648/j.ijmea.20160403.11

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ACS Style

Okwu Modestus Okechukwu; Thaddeus C. Nwaoha; Ombor Garrick. Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. Int. J. Mech. Eng. Appl. 2016, 4(3), 103-108. doi: 10.11648/j.ijmea.20160403.11

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AMA Style

Okwu Modestus Okechukwu, Thaddeus C. Nwaoha, Ombor Garrick. Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. Int J Mech Eng Appl. 2016;4(3):103-108. doi: 10.11648/j.ijmea.20160403.11

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@article{10.11648/j.ijmea.20160403.11,
  author = {Okwu Modestus Okechukwu and Thaddeus C. Nwaoha and Ombor Garrick},
  title = {Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {4},
  number = {3},
  pages = {103-108},
  doi = {10.11648/j.ijmea.20160403.11},
  url = {https://doi.org/10.11648/j.ijmea.20160403.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20160403.11},
  abstract = {In this research, Markov theoretical approach (MTA) was used to forecast the severity of risk workers were exposed to in the oil and gas industry and to determine the average period of time it would take workers to get exposed to menace of less severity and the possibility of transiting to a state where risk is high. The perils were classified into four states which include: catastrophic, critical, marginal and negligible. A solution procedure for addressing industrial hazards was developed from Markov. Fifty (50) workers in Warri Refining and Petrochemical Company (WRPC) were randomly selected for the purpose of questionnaire administration. Analysis of the data was carried out using QM software. The results showed that 56.66% of workers in marginal state would likely move to catastrophic state, while 43.34% of workers in marginal state would probably transit to critical state. Also 41.32% of workers in negligible state would move to a catastrophic state, while 58.68% of workers in negligible state would likely move to critical state within an average period of 2 to 3 years.  It is therefore recommended that provision of personal protective equipment and appropriate healthcare facilities be made, risk assessment of all workers be continuously carried out; workers must be properly trained on regular basis and the enforcement and strengthening of existing legislation effectively carried out to dispel these hazards.},
 year = {2016}
}

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TY  - JOUR
T1  - Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector
AU  - Okwu Modestus Okechukwu
AU  - Thaddeus C. Nwaoha
AU  - Ombor Garrick
Y1  - 2016/06/06
PY  - 2016
N1  - https://doi.org/10.11648/j.ijmea.20160403.11
DO  - 10.11648/j.ijmea.20160403.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 103
EP  - 108
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20160403.11
AB  - In this research, Markov theoretical approach (MTA) was used to forecast the severity of risk workers were exposed to in the oil and gas industry and to determine the average period of time it would take workers to get exposed to menace of less severity and the possibility of transiting to a state where risk is high. The perils were classified into four states which include: catastrophic, critical, marginal and negligible. A solution procedure for addressing industrial hazards was developed from Markov. Fifty (50) workers in Warri Refining and Petrochemical Company (WRPC) were randomly selected for the purpose of questionnaire administration. Analysis of the data was carried out using QM software. The results showed that 56.66% of workers in marginal state would likely move to catastrophic state, while 43.34% of workers in marginal state would probably transit to critical state. Also 41.32% of workers in negligible state would move to a catastrophic state, while 58.68% of workers in negligible state would likely move to critical state within an average period of 2 to 3 years.  It is therefore recommended that provision of personal protective equipment and appropriate healthcare facilities be made, risk assessment of all workers be continuously carried out; workers must be properly trained on regular basis and the enforcement and strengthening of existing legislation effectively carried out to dispel these hazards.
VL  - 4
IS  - 3
ER  -

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Author Information

Okwu Modestus Okechukwu

Mechanical Engineering Department, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
Thaddeus C. Nwaoha

Marine Engineering Department, Federal University Petroleum Resources, Effurun, Delta State, Nigeria
Ombor Garrick

Marine Engineering Department, Federal University Petroleum Resources, Effurun, Delta State, Nigeria

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APA Style

Okwu Modestus Okechukwu, Thaddeus C. Nwaoha, Ombor Garrick. (2016). Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. International Journal of Mechanical Engineering and Applications, 4(3), 103-108. https://doi.org/10.11648/j.ijmea.20160403.11

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ACS Style

Okwu Modestus Okechukwu; Thaddeus C. Nwaoha; Ombor Garrick. Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. Int. J. Mech. Eng. Appl. 2016, 4(3), 103-108. doi: 10.11648/j.ijmea.20160403.11

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AMA Style

Okwu Modestus Okechukwu, Thaddeus C. Nwaoha, Ombor Garrick. Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector. Int J Mech Eng Appl. 2016;4(3):103-108. doi: 10.11648/j.ijmea.20160403.11

Copy | Download

@article{10.11648/j.ijmea.20160403.11,
  author = {Okwu Modestus Okechukwu and Thaddeus C. Nwaoha and Ombor Garrick},
  title = {Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {4},
  number = {3},
  pages = {103-108},
  doi = {10.11648/j.ijmea.20160403.11},
  url = {https://doi.org/10.11648/j.ijmea.20160403.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20160403.11},
  abstract = {In this research, Markov theoretical approach (MTA) was used to forecast the severity of risk workers were exposed to in the oil and gas industry and to determine the average period of time it would take workers to get exposed to menace of less severity and the possibility of transiting to a state where risk is high. The perils were classified into four states which include: catastrophic, critical, marginal and negligible. A solution procedure for addressing industrial hazards was developed from Markov. Fifty (50) workers in Warri Refining and Petrochemical Company (WRPC) were randomly selected for the purpose of questionnaire administration. Analysis of the data was carried out using QM software. The results showed that 56.66% of workers in marginal state would likely move to catastrophic state, while 43.34% of workers in marginal state would probably transit to critical state. Also 41.32% of workers in negligible state would move to a catastrophic state, while 58.68% of workers in negligible state would likely move to critical state within an average period of 2 to 3 years.  It is therefore recommended that provision of personal protective equipment and appropriate healthcare facilities be made, risk assessment of all workers be continuously carried out; workers must be properly trained on regular basis and the enforcement and strengthening of existing legislation effectively carried out to dispel these hazards.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Application of Markov Theoretical Model in Predicting Risk Severity and Exposure Levels of Workers in the Oil and Gas Sector
AU  - Okwu Modestus Okechukwu
AU  - Thaddeus C. Nwaoha
AU  - Ombor Garrick
Y1  - 2016/06/06
PY  - 2016
N1  - https://doi.org/10.11648/j.ijmea.20160403.11
DO  - 10.11648/j.ijmea.20160403.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 103
EP  - 108
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20160403.11
AB  - In this research, Markov theoretical approach (MTA) was used to forecast the severity of risk workers were exposed to in the oil and gas industry and to determine the average period of time it would take workers to get exposed to menace of less severity and the possibility of transiting to a state where risk is high. The perils were classified into four states which include: catastrophic, critical, marginal and negligible. A solution procedure for addressing industrial hazards was developed from Markov. Fifty (50) workers in Warri Refining and Petrochemical Company (WRPC) were randomly selected for the purpose of questionnaire administration. Analysis of the data was carried out using QM software. The results showed that 56.66% of workers in marginal state would likely move to catastrophic state, while 43.34% of workers in marginal state would probably transit to critical state. Also 41.32% of workers in negligible state would move to a catastrophic state, while 58.68% of workers in negligible state would likely move to critical state within an average period of 2 to 3 years.  It is therefore recommended that provision of personal protective equipment and appropriate healthcare facilities be made, risk assessment of all workers be continuously carried out; workers must be properly trained on regular basis and the enforcement and strengthening of existing legislation effectively carried out to dispel these hazards.
VL  - 4
IS  - 3
ER  -

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