Modeling and analysis of internal corrosion induced failure of oil and gas pipelines

Corrosion inhibition of deposit-covered X80 pipeline steel in seawater containing Pseudomonas stutzeri

Under-deposit corrosion, a typical corrosion type, is a major threat to the safe running of pipeline steel in marine environment. Under-deposit corrosion behaviour and mechanism still require further investigation, especially when there is participation of microorganisms. In this work, the inhibition of corrosion of deposit-covered X80 pipeline steel due to the presence of Pseudomonas stutzeri in seawater containing CO2 was investigated using weight loss, electrochemical measurements, a wire beam electrode and surface analysis. The results show that steel corrosion rates decline rapidly due to the covered deposit in the presence or absence P. stutzeri, but corrosion rates were slower in the presence of P. stutzeri. The highest corrosion rates were (0.365 ± 0.021) mm/y and (0.230 ± 0.001) mm/y in abiotic and biotic conditions, respectively. The corrosion inhibition efficiency of P. stutzeri was reduced in the presence of deposits, because the deposits led to a lowered biological activity. The galvanic current density between deposit-covered and bare specimens in seawater was weakened by P. stutzeri, leading to diminshed corrosion, especially pitting corrosion.

Corrosion inhibition of deposit-covered X80 pipeline steel in seawater containing Pseudomonas stutzeri.

Synthesis and evaluation of scale inhibitor with high-temperature resistance and low corrosion capability for geothermal exploitation

Under-deposit corrosion (UDC) and microbiologically influenced corrosion under deposits (UD-MIC) have increasingly been identified as severe forms of localized corrosion threatening the integrity of pipelines. This work utilizes a knowledge-based, semi-quantitative Bayesian approach to capture UDC and UD-MIC susceptibility and severity. This article proposed a Bayesian Network framework to study susceptibility to UDC and UDC corrosion rate. The effective corrosion rate is introduced as a measure to combine the susceptibility and corrosion rate. This measure could identify high-risk locations by assessing the probable corrosion rate while highlighting the pipeline's vulnerability to deposit settlement. Four case studies of pipeline failures due to UDC illustrate the framework's validity. A case study for a sweet gas pipeline is adapted to explore the model's robustness in assessing cases with low probabilities of UDC occurrence. The gas pipeline data, the corrosion key performance indicators spanning six years, general information on the pipeline, and the Bayesian network are made publicly available through a repository. 

A Bayesian approach to assess under-deposit corrosion in oil and gas pipelines

Monitoring of under deposit corrosion for the oil and gas industry: A review

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

N.A. Younan

Author Tools

Chat about Author

Papers

Monitoring of under deposit corrosion for the oil and gas industry: A review