Multi-Objective Optimization of Corrosion Rate Parameters in Refining Process Using Particle Swarm Optimization
- PDF / 204,245 Bytes
- 6 Pages / 432 x 648 pts Page_size
- 80 Downloads / 415 Views
Multi-Objective Optimization of Corrosion Rate Parameters in Refining Process Using Particle Swarm Optimization. B. González1,2, L. Torres2, F. A. Reyes1, I. Escamilla2, C. Vera1, R. Colas2 Corporación Mexicana de Investigación en Materiales, S.A. de C.V., Ciencia y Tecnología # 790, Fracc. Saltillo 400, Saltillo, Coahuila, México, C.P. 25290. 2 Facultad de Ingeniería Mecánica y Eléctrica., Universidad Autónoma de Nuevo León., Ave. Universidad s/n., San Nicolás de los Garza, N. L., México, C.P. 66450 1
ABSTRACT. In this paper, a Particle Swarm Optimization (PSO) algorithm is presented to find the optimal combination of corrosion rate parameters for a refining process in the oil industry. The experimental data in this paper are constituted by results obtained from field tests. Maintenance control is a very important aspect in order to prevent substantial damage to facilities, equipment and people. Other important factor to consider is the cost of maintenance which tends to reduce the required actions. The main parameters in corrosion control are flow, concentration of sulfur species, total acid number (TAN), temperature, and chromium content. However it is not easy to know the combined effect of different variables due to synergistic effects. Particle swarm optimization (PSO) is a population based stochastic optimization technique, inspired by social behavior of bird flocking or fish schooling. The system is initialized with a population of random solutions and searches for optima by updating generations. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. INTRODUCTION. The corrosion of refinery equipment during oil distillation has been first noticed as early as 1920 [1]. As the oil producing and refining industries have further developed, this problem broadens and has become one of the most crucial points. Experience has shown that the main sites of corrosion attack are the components of oil pumping and refinery transfer lines, such as pipelines, valves and gates, heat exchangers, pipe stills, bubble sections, hydrocarbon stock feeders, fractionation-tower reflux units, etc. [2]. It causes severe damage to industrial equipment and materials. The adoption of preventive measures that can reduce or eliminate corrosion is financially costly and time consuming. In fact, corrosion prevention and treatment consume more than 20% of a typical industrial budget. Accidents related to corrosion processes resulted in equipment outage and economic losses, thus making it necessary to study the causes and the nature of this type of corrosion. Petroleum naphthenic acids (PNA) present in crude oils produced in many world regions are considered now to be the main factor responsible for the corrosion problem [1–8]. At oil processing temperatures, PNA show corrosion activity, inducing the specific corrosion type termed “naphthenic acid corrosion” (NAC) in the literature. In addition, sulfur dioxide, which is a component of both crude oil and natural gas, with its
Data Loading...
