Aramaki, Thiago Lessa; Barbosa, Carlos Roberto Hall (Advisor). For the leak location systems the systems tested were: sonic velocity, hydraulic gradient and artificial neural networks. The products used were gasoline, diesel and fuel oil. On the issue of leak detection, the system based on neural networks detected simulated leakages, although there were some false indications. The system based on fuzzy logic presented good results, giving correct leak indications without any indication of false alarms, interpreting correctly the phenomena due to pipeline usual operations. The mass balance system has also presented good results, not generating false alarms, but detecting simulated leaks even with the pipeline in shut-in condition. To evaluate leak detection systems is common to conduct field tests that can be costly and take a long time to accomplish. A method for testing at a lower cost should be developed and a proposal is being shown in this work.
Development and Validation of Methods for Detection and