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The cathodic protection (CP) system of an offshore complex was modeled using boundary element analysis. Results of the simulation were validated against existing inspection data and used to optimize the established CP inspection program.
Evaluation of the performance of cathodic protection (CP) systems used on subsea structures once in service can be costly due the need for specialized personnel and ROV monitoring equipment. Often areas of a subsea structure can go unassessed in terms of CP coverage when the ability to assess the entire structure is not feasible. Improperly protected areas can lead to premature corrosion or structural integrity issues, or costly maintenance and retrofits. The use of computer software can aid in identifying improperly protected areas. Boundary element analysis (BEA) of a CP system, validated with past inspection data, can produce a computer model that will allow for predictive assessments of the present and future states of the CP system and subsea structure. Identification of under/over protection ‘hot spots’ by using a BEA model can guide the focus of the next inspection for a more thorough assessment of critical locations.
In this study, the CP system of an offshore complex consisting of Al-Zn-In galvanic anodes was modeled using BEA. The offshore complex consists of concrete and steel jackets, risers and pipework. Time-stepping, anode degradation and coating breakdown are incorporated to estimate system performance with time since installation. The results of the CP system simulation were validated against existing inspection data and used to optimize the established CP inspection program.
Keywords: Cathodic Protection, Boundary Element Modeling, Simulation
A research methodology has been employed to quantify the dynamic effects of anodic transients on CP and corrosion by means of an electrochemically integrated multi-electrode array, often referred to as the wire beam electrode (WBE).
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Long-term (>1.5 years) field testing of reference electrodes and anodes are carried out on port facilities in Kozmino (marine conditions) and in Ural region (in soils). Experimental procedures and some observations made in course of the testing.
A new CP monitoring approach to quantify the health of the CP system in real-time with spatial resolution. Spatial resolution is achieved by an integrated sensor network distributed across a Subsea Production System.