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     Research Journal of Applied Sciences, Engineering and Technology


A Fuzzy-Logic Theoretic Approach to Modelling Marginal Oilfield Risks

Alaneme, Charles Ezemonye and Igboanugo, Anthony Clement
Department of Production Engineering, University of Benin, Benin City, Nigeria
Research Journal of Applied Sciences, Engineering and Technology  2013  4:557-567
http://dx.doi.org/10.19026/rjaset.6.4165  |  © The Author(s) 2013
Received: August 15, 2012  |  Accepted: September 17, 2012  |  Published: June 20, 2013

Abstract

Risk has remained a debilitating enigma against the full realization of marginal oilfield potentials and lack of its contribution to the economy. This stems from the inability on the part of the operators to identify, quantify and apply the risk profile to correctly adjust the return on investments in marginal fields. This study provides a veritable tool that systematically transforms the qualitative risk variables from its linguistic expressions to quantitative functions using fuzzy logic in combination with conventional risk analysis techniques. Accordingly a total of six risk attributes were isolated using Delphi technique. And, in all, 53 risk variables were identified and used to craft a questionnaire scaled with RensisLikerts 5-point attitudinal scale which were subsequently administered to 42 respondents. A computed Kendall Coefficient of Concordance of W = 0.75 and chi-squared value (x2) of 546 which is greater than 27.69 recorded in the statistical table showed an incontrovertible level of agreement among the judges in ranking the variables, hence, a null hypothesis of disconcordance among the judges was rejected at a p-value of 0.01. Again, the study was able to establish that an investment risk level of 0.71 on a scale of 0 to 1 is associated with this Isiekenesi field in the Nigeria Niger Delta, whereupon signifying a snag in the overall return on investment. Further, our results indicate that security of property and personnel pose the greatest challenge to investment in the marginal field of Niger Delta.

Keywords:

Delphi technique, fuzzy logic, Isiekenesi, marginal oilfield, reserves, risks,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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