Under consequence of the three different stages that are impacted bye the modeling: a) After work, which help in the understanding of the effects of each variable in an installation or structure; b) At the same time. Together to the implementation process information and calculation that allow the materials optimization, geometries and economical resources; c) Before the work, which is presented in groups with experience and it allows the design of installations and the own building In case of cathodic protection modeling, it is expected to determine the actual conditions and to discard those that does not affect to the CP operation.
Numerical modeling of CP Systems has been used to study the current and pipe/soil potential behavior. Based on the boundary element method, with discrete approaches, the CatPro software is applied (developed by the Vrije Universiteit Brussel and the von Karman Institute for Fluid Dynamics. Building models from the identified geometries in field and the pipeline conditions, a effective modeling methodology is established, where considerations as the kind of soil, electric resistivity, pipeline geometry, type and position of the involved anodes, metal characteristics, electric interconnections, type and quality of coatings, isolator joints and any element that is involved in the operation conditions of the CP systems.
This work is focused to the study of the pipeline network at the city of
The validation of the initial model is made against pipe/soil potential data obtained from the CIS, which results in retro-alimentation data about the quality and size of defects in the used coating for the models, obtaining a model that represents the CP system actual conditions. After having a validated model, it is obtained a new model with modifications to the system that allow a optimal redesign, increasing the information and the parameters to make sustained decisions at the minimal cost. Once the re-habilitation of the CP system, based on the modeled results, the new pipe/soil potential values are compared with the predicted by the model, and the conjunction of experimental and theoretical data gives information of substantial elements for the pipeline network maintenance and generates a perspective of continual parameters evaluation in critical sites predictable from the modeling procedure.
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