Design of a pipeline leakage detection using expert system: A novel approach

Pipeline leakage is a demand from governmental and environmental associations that companies need to comply with. Due the high accuracy on detecting leakage, it is necessary to set procedures that will achieve the leading performance. This paper describes a methodology to set instrumentations systems to accomplish with the legal requirement keeping high reliability during normal and fail operations conditions. To achieving the described state this paper proposes a set of models acting as Expert systems: each one observing and diagnosing pipeline leakage in real-time. The proposed system also validates the operations according the business rules applied to it. A set of techniques is applied in order to be possible the system executes its function: fuzzy logic, neural network, genetic algorithm and statistic analysis. The application of the methodology proposed is in operation supervising pipeline in a Brazilian petroleum installation.

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