Table of Contents
ISRN Corrosion
Volume 2012 (2012), Article ID 237025, 8 pages
http://dx.doi.org/10.5402/2012/237025
Research Article

Predictive Modelling of Wellhead Corrosion due to Operating Conditions: A Field Data Approach

Production Planning Department, Overall Forge Pty Ltd., 70 R W Henry Drive, Ettamogah near Albury, P.O. Box 5275, Albury, NSW 2640, Australia

Received 3 October 2012; Accepted 19 November 2012

Academic Editors: M. Criado, M. Scendo, and R. Wang

Copyright © 2012 Chinedu I. Ossai. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The flow of crude oil, water, and gas from the reservoirs through the wellheads results in its deterioration. This deterioration which is due to the impact of turbulence, corrosion, and erosion significantly reduces the integrity of the wellheads. Effectively managing the wellheads, therefore, requires the knowledge of the extent to which these factors contribute to its degradation. In this paper, the contribution of some operating parameters (temperature, CO2 partial pressure, flow rate, and pH) on the corrosion rate of oil and gas wellheads was studied. Field data from onshore oil and gas fields were analysed with multiple linear regression model to determine the dependency of the corrosion rate on the operating parameters. ANOVA, value test, and multiple regression coefficients were used in the statistical analysis of the results, while in previous experimental results, de Waard-Milliams models and de Waard-Lotz model were used to validate the modelled wellhead corrosion rates. The study shows that the operating parameters contribute to about 26% of the wellhead corrosion rate. The predicted corrosion models also showed a good agreement with the field data and the de Waard-Lotz models but mixed results with the experimental results and the de Waard-Milliams models.