Search
Filters
Close

Products tagged with 'computational modelling'

View as
Sort by
Display per page
Corrosion, perforated polymer lined pipelines, CO2, H2S, computational modelling, electrochemistry.
Available for download

Corrosion Prediction in Perforated Polymer Lined Pipelines (PLP) Used for Oil & Gas Transportation

Product Number: 51324-20954-SG
Author: Gaurav R. Joshi; Remy Mingant; Jean Kittel; Jitender Rai; Carol Taravel-Condat
Publication Date: 2024
$40.00

The perforated polymer-lined pipeline (PLP) is a rigid carbon steel pipeline with internal polymer liner for internal corrosion prevention. The liner is perforated to prevent liner collapse during depressurization. Although the perforations expose the carbon steel to the corrosion fluids within the bore of the pipeline, extensive small-scale and full-scale tests have demonstrated that corrosion at the bottom of each perforation is much less than the corrosion in an un-lined carbon steel pipeline. Based on experience gained on the evaluation and modelling of corrosion in the highly confined environments of flexible pipelines, we have developed a corrosion model to simulate carbon steel corrosion rates corresponding to the perforated PLP system geometry. Predictions from this model could help evaluate corrosion risks at and within perforated liner / steel interfaces. This paper presents an overview of the model and compares its predictions against a variety of experimental data that reproduce the conditions, the geometry, or both, found at the bottom of a PLP perforation. This 1D model considers diffusion and chemical reactions inside an inert hole and incorporates non-ideal thermodynamics (i.e., gas fugacity effects) to describe the aqueous solution chemistry. Electrochemical corrosion equations are compared with experimental data to support validation. This model could serve as a useful tool that complements qualification testing and help validate the PLP technology for a variety of field applications.

Picture for Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction
Available for download

Using a Computational Galvanic Model in a Fracture Mechanics Framework to Improve Material Degradation Prediction

Product Number: 51321-16509-SG
Author: Robert Adey/ Andres Peratta/ John Baynham/ Thomas Curtin
Publication Date: 2021
$20.00