Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines’ failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic economical and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data. This process is influenced by the human subjectivity and reasoning uncertainty. To address the weaknesses of the current practices, this book proposes a new fuzzy-based methodology that utilizes integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. After validation , the model is found to deliver satisfactory outcomes in assessing pipelines condition.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines’ failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic economical and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data. This process is influenced by the human subjectivity and reasoning uncertainty. To address the weaknesses of the current practices, this book proposes a new fuzzy-based methodology that utilizes integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. After validation , the model is found to deliver satisfactory outcomes in assessing pipelines condition.
Fadi Mosleh is a civil engineer who graduated with honor from Qatar university in 2010. He got his master degree in Building Engineering(Construction Management) from Concordia University in Montreal, Canada. In between, he worked as a full-time civil engineer in Qatar for a few years and as a Research Assistant in both universities.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines' failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic economical and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data. This process is influenced by the human subjectivity and reasoning uncertainty. To address the weaknesses of the current practices, this book proposes a new fuzzy-based methodology that utilizes integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. After validation , the model is found to deliver satisfactory outcomes in assessing pipelines condition. 208 pp. Englisch. N° de réf. du vendeur 9783659766749
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mosleh FadiFadi Mosleh is a civil engineer who graduated with honor from Qatar university in 2010. He got his master degree in Building Engineering(Construction Management) from Concordia University in Montreal, Canada. In between, h. N° de réf. du vendeur 159144839
Quantité disponible : Plus de 20 disponibles
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Fuzzy-based Condition Assessment Model for Offshore Gas Pipelines | Fadi Mosleh | Taschenbuch | 208 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659766749 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104240829
Quantité disponible : 5 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines' failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic economical and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data. This process is influenced by the human subjectivity and reasoning uncertainty. To address the weaknesses of the current practices, this book proposes a new fuzzy-based methodology that utilizes integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. After validation , the model is found to deliver satisfactory outcomes in assessing pipelines condition.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 208 pp. Englisch. N° de réf. du vendeur 9783659766749
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Condition assessment of oil and gas pipelines is a significant component in pipeline operations and maintenance. Such assessments are used to ensure better decisions for repair and/or replacement to reduce pipelines' failure possibilities. Therefore, it is essential to have an effective condition assessment model for pipelines as their failure incidents may lead to catastrophic economical and environmental consequences. Current practices of assessing gas pipelines condition can be considered simplified for the intended purpose. They mainly depend on experts' opinions in interpreting inspection data. This process is influenced by the human subjectivity and reasoning uncertainty. To address the weaknesses of the current practices, this book proposes a new fuzzy-based methodology that utilizes integrated analytic network process (ANP) and hierarchical evidential reasoning (HER) to develop a meticulous condition assessment model for offshore gas pipelines. The proposed model is validated using historical inspection reports that are obtained from a local pipeline operator in Qatar. After validation , the model is found to deliver satisfactory outcomes in assessing pipelines condition. N° de réf. du vendeur 9783659766749
Quantité disponible : 1 disponible(s)