2005
DOI: 10.1016/j.petrol.2005.05.004
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Leak detection in petroleum pipelines using a fuzzy system

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Cited by 91 publications
(31 citation statements)
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“…Remote sensing images has been used for detection of stressed vegetation from hazardous liquid leakage, quantification of pollution/stress level and monitoring polluted sites after remediation (Van Der Werff et al 2008). These studies have shown the capability of remote sensing for detection of environmental stress resulting from oil leaks from pipelines without direct contact (Da Silva et al 2005). An increasingly common application of remotely sensed data is change detection where the state of an object or phenomenon over different period of time can be assessed (Singh 1989).…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing images has been used for detection of stressed vegetation from hazardous liquid leakage, quantification of pollution/stress level and monitoring polluted sites after remediation (Van Der Werff et al 2008). These studies have shown the capability of remote sensing for detection of environmental stress resulting from oil leaks from pipelines without direct contact (Da Silva et al 2005). An increasingly common application of remotely sensed data is change detection where the state of an object or phenomenon over different period of time can be assessed (Singh 1989).…”
Section: Introductionmentioning
confidence: 99%
“…summarizing, in comparison to the results of the leakage detection levels mentioned in [5], the obtained results can be assessed as highly satisfactory. However, it should be noticed, that they refer to the model installation.…”
Section: The Resultsmentioning
confidence: 61%
“…it is worth highlighting that the slda are discussed or mentioned also in many other papers [5,12]. nevertheless, not always these papers encompass and present all information about their particular solutions and their effectiveness relating to the smallest detectable leak, which might considerably impede their potential analysis, modifications and implementation.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies use pressure, flow, and temperature variables to detect pipeline leaks, but these methods are only able to detect large leaks. Also, they are difficult to deploy and have difficulty locating the leak position (Silva et al, 2005;Wu and Wang, 2006). The current proposed method uses acoustic emission sensors and is designed to detect an accurate point of leakage while the system is running.…”
Section: Introductionmentioning
confidence: 99%