Search
Filters
Close

Search and Filter

Toggle Open/Closed
View as
Display per page
3228 total products found.
	Picture for Predicting Corrosion Severity of Pipeline Steels in Supercritical CO2 Environments Using Supervised Machine Learning
Available for download

Predicting Corrosion Severity of Pipeline Steels in Supercritical CO2 Environments Using Supervised Machine Learning

Product Number: 51324-20803-SG
Author: Emily Seto; Meifeng Li; Jing Liu
Publication Date: 2024
$40.00
The importance of effective corrosion management in carbon capture, utilization, and storage (CCUS) networks has significantly increased. Captured CO2 is often transported in the supercritical state (s-CO2) and can contain impurities like H2O, O2, SOx, or NOx. While repurposing existing oil and gas pipelines for s-CO2 transport has been suggested, further testing and risk assessment is required to validate this strategy and its associated risks. Given the substantial amount of corrosion data available from recent corrosion studies, machine learning (ML) has emerged as a promising tool for corrosion prediction and management. This study aims to utilize supervised ML techniques to predict the corrosion severity of pipeline steels operating in s-CO2 systems. The selected algorithms, random forest (RF), K-nearest neighbor (KNN), and support vector machine (SVM) were trained on a comprehensive data set of X-series pipeline steels which includes corrosion rates, impurity levels, temperatures, pressures, and exposure times. Additional testing data set and error and accuracy scores were used to determine the most accurate algorithm. An additional experimental testing was performed to verify the predictions of the model. It was found that the RF model had the best accuracy of 65.3% out of the three tested models and KNN had the worst accuracy of 59.2%. In multiple impurity environments the RF model was able to accurately predict corrosion severity but overestimated corrosion severity in environments with short exposure times.
Picture for On Defending against Calcium Carbonate and Asphaltene Deposits Using Dual-Action Diamond-Like Carbon and Polymer-Like Coatings
Available for download
Picture for Corrosion Challenges in Processing Crude Oils: Influence of Active Sulfur Species and Corrosion Rates of Various Alloys
Available for download

Corrosion Challenges in Processing Crude Oils: Influence of Active Sulfur Species and Corrosion Rates of Various Alloys

Product Number: 51324-21207-SG
Author: Yuhchae Yoon; Hui Li; Russell D. Kane
Publication Date: 2024
$40.00
The depletion of conventional sweet oil resources has led to increased attention towards sour and acidic oil sources, which typically consist of lower-quality, corrosive crude oils with elevated concentrations of naphthenic acids and sulfur compounds. They are often referred to as “opportunity crudes” since they come at a lower price to refiners, but if successfully processed, they can result in a higher margin to the refinery. This paper focuses on an investigation of the impact of active sulfur species present in crude oils during processing. Corrosion rates of several common alloys were evaluated under stirred/pipe flow conditions in autoclaves. The experimental conditions closely simulated relevant refinery environments, encompassing temperatures ranging from 200°C to 370°C. The study assessed the influence of temperature, wall shear stress (WSS), and active sulfur content on corrosion rates. The results were derived from a comprehensive Joint Industry Program (JIP) conducted to quantify the influence of crude oil chemistry on naphthenic acid corrosion, understand the contributions of active sulfur chemistry to protection and FeS scale formation. The program also assessed the ability to resist naphthenic acid corrosion by utilizing beneficial sulfur speciation in the context of operational factors such as temperature and wall shear stress to build a prediction model to characterize the active sulfur level as a function of sulfur compound concentration and temperature, which is further utilized to predict corrosion rates of multiple alloys.
Picture for Preliminary Study to Characterize Concrete Durability by Water Permeation and Electrochemical Impedance Spectroscopy
Available for download

Preliminary Study to Characterize Concrete Durability by Water Permeation and Electrochemical Impedance Spectroscopy

Product Number: 51324-21167-SG
Author: Kingsley Lau; Amer Awwad; Samanbar Permeh; Atorod Azizinamini
Publication Date: 2024
$40.00
Picture for Vintage Pipeline Enhanced Corrosion Management Analysis
Available for download

Vintage Pipeline Enhanced Corrosion Management Analysis

Product Number: 51324-21127-SG
Author: Kenton Lawson; Jason Charles Land; Angel R. Kowalski
Publication Date: 2024
$40.00
Vintage pipeline operators face increased regulatory challenges. These aging pipeline systems may have decades of metal loss and coating damage from soil interaction, pressure cycling, thermal stresses, and other physical phenomena that affects the pipeline’s mechanical integrity to make it more susceptible to leaks or ruptures. Aging pipeline systems are candidates for Enhanced Corrosion Management Analysis (ECMA) to effectively mitigate corrosion risks. The ECMA methodology begins with the integration and analysis of available corrosion control monitoring, maintenance, inspection, and assessment data, to identify the need to collect additional data. When all data deemed necessary to conduct ECMA is available, an analysis is conducted to identify the possible causes of corrosion metal loss in the pipeline system, e.g., inadequate cathodic polarization, poor or disbonded coating conditions, electrical shielding, stray current interference, or microbiologically influenced corrosion (MIC). Effective mitigation plans are then developed to address most probable causes of corrosion metal loss and integrated into the corrosion management program. A case study is presented to demonstrate the implementation of ECMA on a vintage pipeline system and the development of a 20-year corrosion mitigation plan to effectively minimize the corrosion risk on the pipeline. The case study also illustrates how engineering economic analysis can be used to guide decision making regarding operational life extension of the asset and how a well-planned corrosion management program can provide cost-effective, safe operation over the lifecycle of the pipeline.