A Neuro-Fuzzy Knowledge-Based Model for the Risk Assessment of Microbiologically Influenced Corrosion in Crude Oil Pipelines
Abstract
The oil and gas industry heavily relies on the integrity of their pipeline systems and underground storage containers for economical and environmental reasons. The integrity of the pipeline systems and storage containers is largely threatened by localized corrosion. One of the primary forms of internal corrosion found in oil and gas pipelines, in addition to corrosion enhanced with carbon dioxide (CO2) and hydrogen sulfide (H2S), is...
Paper Details
Title
A Neuro-Fuzzy Knowledge-Based Model for the Risk Assessment of Microbiologically Influenced Corrosion in Crude Oil Pipelines
Published Date
Nov 1, 2014
Journal
Volume
70
Issue
11
Pages
1157 - 1166
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