2005
DOI: 10.1016/j.eswa.2005.05.001
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An approximate reasoning based technique for oil assessment

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Cited by 16 publications
(15 citation statements)
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“…Among many advantages of fuzzy set theory we can evidence: the ability to deal with ill defined class boundaries; the ability to model approximate reasoning decisions based in fuzzy linguistic variables (low, good, and high) using fuzzy set operators (and, or); and the possibility of making useable non-numeric (e.g. qualitative) information (Tounsi, 2005). All these evidences make the fuzzy approach a very efficient mechanism to deal with an incomplete and imprecise data, and knowledge expressed in vague and linguistic terms that characterize the petroleum evaluation problem.…”
Section: Fuzzy Expert Systemsmentioning
confidence: 99%
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“…Among many advantages of fuzzy set theory we can evidence: the ability to deal with ill defined class boundaries; the ability to model approximate reasoning decisions based in fuzzy linguistic variables (low, good, and high) using fuzzy set operators (and, or); and the possibility of making useable non-numeric (e.g. qualitative) information (Tounsi, 2005). All these evidences make the fuzzy approach a very efficient mechanism to deal with an incomplete and imprecise data, and knowledge expressed in vague and linguistic terms that characterize the petroleum evaluation problem.…”
Section: Fuzzy Expert Systemsmentioning
confidence: 99%
“…Which method should be used to recover the petroleum from the field? Capturing this knowledge and representing it in a formal model is a permanent aim for knowledge management in petroleum companies (Tounsi, 2005).…”
Section: Risk Analysis In the Petroleum Exploration Processmentioning
confidence: 99%
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“…Comprehensive and indepth studies of MCE have been conducted by Voogd (1983), Carver (1991, and BonhamCarter (1994). Fuzzy logic, as presented by Bonham-Carter and supported by publications from Amin zadeh (1994), Wright and BonhamCarter (1996), and Tounsi (2005), has been selected as the MCE method for investigating petroleum favorability in this study since it is applicable for frontier areas and does not rely on prior probabilities. It has been successfully employed in mineral exploration, and economic geology; besides it is acceptable for petroleum exploration in non-spatial environment, Bingham et al, (2012).…”
Section: Introductionmentioning
confidence: 99%
“…Comprehensive and in-depth studies of MCE have been conducted by [6], [7] and [8]. Fuzzy logic, as presented by Bonham-Carter and supported by publications from [9], [10] and [11]. has been selected as the MCE method for investigating petroleum favorability in this study since it is applicable for frontier areas and does not rely on prior probabilities.…”
Section: Introductionmentioning
confidence: 99%