Published February 2021 | Version v1
Journal article

Determination of thickness and air-void distribution within the iron carbonate layers using X-ray computed tomography

  • 1. Institute of Functional Surfaces, School of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT (United Kingdom)
  • 2. Shandong Provincial Key Laboratory of Oil & Gas Storage and Transportation Security, China University of Petroleum (East China), Qingdao, 266555 (China)
  • 3. School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU (United Kingdom)
  • 4. School of Civil Engineering, University of Leeds, Leeds, LS2 9JT (United Kingdom)

Description

Highlights: • μCT and novel algorithms were used to determine the thickness and air-void distribution within the iron carbonate layers. • The μCT results were validated by SEM morphology and mercury intrusion porosimetry (MIP) results. • The relationship between air-void distribution and corrosion behaviour was analysed. • The advantages and limitations of μCT and MIP for the pore characterisation were discussed. Iron carbonate (FeCO3) is a common corrosion product reported in oil and gas fields. The growth kinetics and the presence of connected voids within this layer have a significant influence on the protective capability afforded to the steel surface. X-ray micro-computed tomography (μCT) was used in conjunction with novel algorithms to determine the thickness and air-void distribution within the crystalline FeCO3 layer. Then the relationship between the air-void distribution and corrosion behaviour was analysed. Mercury intrusion porosimetry (MIP) was used to validate the μCT results. The advantages and limitations of both methods for the pore characterisation were discussed.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.corsci.2020.109153

Additional details

Identifiers

DOI
10.1016/j.corsci.2020.109153;
PII
S0010938X20324343;

Publishing Information

Journal Title
Corrosion Science
Journal Volume
179
Journal Page Range
vp.
ISSN
0010-938X
CODEN
CRRSAA

Optional Information

Copyright
Copyright (c) 2020 The Authors. Published by Elsevier Ltd.