Bibliographic citations
Alvarez, R., (2021). Optimización de la productividad en líneas de producción de gas natural aplicando protección anticorrosiva en pozos someros de alta presión [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/22281
Alvarez, R., Optimización de la productividad en líneas de producción de gas natural aplicando protección anticorrosiva en pozos someros de alta presión [Tesis]. PE: Universidad Nacional de Ingeniería; 2021. http://hdl.handle.net/20.500.14076/22281
@mastersthesis{renati/711813,
title = "Optimización de la productividad en líneas de producción de gas natural aplicando protección anticorrosiva en pozos someros de alta presión",
author = "Alvarez Calle, Roberto",
publisher = "Universidad Nacional de Ingeniería",
year = "2021"
}
The present thesis was carried out with the inductive, deductive methodology, whose main objective was to determine if the optimization of natural gas production lines improve the productivity of shallow wells of high pressure. Production facilities were built in each field, with the purpose of collecting the production of its wells, making the fiscal measurement, and corrosion control for the presence of CO2 and H2O, and from the facilities send the production to the plant of treatment Santa Rosa. In Santa Rosa province there are new fields, for their development and exploitation, called Palometa and Santa Rosa Este respectively, which were producers of dry gas and light oil. By operating these fields at pressures in a range of 1400 to 1700 psia on the surface, it is proposed to take advantage of the energy associated with this pressure to make the separation at high pressure, with which it is expected to obtain the following advantages: 1. Manage and save reservoir pressure 2. Do the fiscal measurement and test the wells 3. Gradually reduce maintenance by cleaning pig run and inspection in transport duct, which reduces operation and maintenance costs. The analysis of the corrosion in the collection lines of the wells of Santa Rosa was carried out, since in some cases the molar percentage of carbon dioxide reaches 12.76% and when the production of water reaches its maximum, carbonic acid will be produced, with the objective of determining the corrosion rate of carbon steel and propose the most feasible and applicable solutions to the present conditions. With the analysis of the corrosion status, I determine the corrosion rate that will exist in carbon steel well collection lines through the “NORSOK M-506 CO2 CORROSION RATE MODEL“ software that is based on an empirical model of corrosion calculation in function to the fugacity of CO2, the ph and other variables. All calculations performed were affected by a certain inhibitor efficiency, it was observed that corrosion values are very high and it will not work optimally if it operates without any internal protection against corrosion In this study, three possible solutions to the problem were considered: • Plastic Pipe (Fiber Glass). • Internal Coating of the Carbon Steel Pipe. • Increased thickness of carbon steel pipe The increase in thickness of the carbon steel pipe of the collection lines, this solution consists of increasing the design corrosion thickness of the carbon steel pipe, with the objective that the lines can operate the useful life projected it is observed that for the corrosion inhibitor efficiencies of 96 and 98% it is already possible to perform the specification of pipes with diameters between 3“ and 8“ for all wells. This is considered the most feasible solution because, the usual from the economic point of view is the selection of carbon steels. In this case, the pipeline was designed with an over thickness of corrosion and a diameter that reduces erosion; Likewise, the alternative use of corrosion inhibitor was considered, since it meets all the conditions considered. Therefore, the conclusion of this research is that, in the design and construction of collection and production lines, the optimization of productivity is obtained by studying the most significant variables that influence the process, establishing optimal conditions and evaluating the behavior of the materials
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