Menu
Search
Filters
Close
Menu

Development and Testing of a Mechanistic Based Atmospheric Corrosion Prediction System

Picture for Development and Testing of a Mechanistic Based Atmospheric Corrosion Prediction System
Available for download

The work here is the culmination of many years of prior effort in the development of an atmospheric corrosion model and accompanying sensors. Atmospheric corrosion is a complicated process where many factors interact to determine if it occurs and its severity. These factors can be separated into
three general categories: environmental, surface salts, and materials.

Product Number: 51323-18962-SG
Author: A.R. Trueman
Publication Date: 2023
$0.00
$20.00
$20.00

A corrosion management system was developed to predict atmospheric corrosion for general and
localized corrosion of steels and aluminum alloys. The system can be extended to other materials and
corrosion types. The corrosion management system is at an advanced prototype stage, with more work
required, mainly in the software components, and is currently being commercialized. The system
consists of two components: a Corrosion and Environmental Monitoring System (CEMS) that collects
environmental data using deployable sensors and datalogging equipment, and the Atmospheric
Corrosion Modelling software (ACM) that uses the CEMS data as well as meteorological and pollutant
deposition data, available online, to make corrosion predictions. These corrosion predictions are not
based on empirical corrosion data, nor corrosion sensors that are difficult to translate into structural
corrosion rates. The ACM system can make predictions for current and future corrosion by using all/or
a combination of sensor, meteorological or pollutant deposition data. Where, ideally CEMSs units are
required for accuracy, but predictions could be made using online data alone, if restrictions limit CEMS
deployments. The system can continuously assess current corrosivity and with meteorological data
randomization future corrosion. The ACM is a science, time-based model that uses electrochemical,
mechanistic, and environmental algorithms to predict corrosion. This allows the model to be deployed
to new locations without long term corrosion testing. However, for validation purposes corrosion
coupons were deployed with the CEMS and their corrosion compared to the ACM predictions, with
excellent agreement between the two. For aluminum pitting corrosion ACM is the only validated model
known to exist. The model predicts corrosion for each wetness period, and thus can be used to assess
causality, that for pitting corrosion is important as individual extended periods of wetness dominated the
damage witnessed.

A corrosion management system was developed to predict atmospheric corrosion for general and
localized corrosion of steels and aluminum alloys. The system can be extended to other materials and
corrosion types. The corrosion management system is at an advanced prototype stage, with more work
required, mainly in the software components, and is currently being commercialized. The system
consists of two components: a Corrosion and Environmental Monitoring System (CEMS) that collects
environmental data using deployable sensors and datalogging equipment, and the Atmospheric
Corrosion Modelling software (ACM) that uses the CEMS data as well as meteorological and pollutant
deposition data, available online, to make corrosion predictions. These corrosion predictions are not
based on empirical corrosion data, nor corrosion sensors that are difficult to translate into structural
corrosion rates. The ACM system can make predictions for current and future corrosion by using all/or
a combination of sensor, meteorological or pollutant deposition data. Where, ideally CEMSs units are
required for accuracy, but predictions could be made using online data alone, if restrictions limit CEMS
deployments. The system can continuously assess current corrosivity and with meteorological data
randomization future corrosion. The ACM is a science, time-based model that uses electrochemical,
mechanistic, and environmental algorithms to predict corrosion. This allows the model to be deployed
to new locations without long term corrosion testing. However, for validation purposes corrosion
coupons were deployed with the CEMS and their corrosion compared to the ACM predictions, with
excellent agreement between the two. For aluminum pitting corrosion ACM is the only validated model
known to exist. The model predicts corrosion for each wetness period, and thus can be used to assess
causality, that for pitting corrosion is important as individual extended periods of wetness dominated the
damage witnessed.

Product tags
Also Purchased
Picture for Optimizing Sour Gas Qualification Testing – Modeling the Effects of Temperature and Total Pressure on H2S Fugacity, Activity, and Solubility Coefficients
Available for download

Optimizing Sour Gas Qualification Testing – Modeling the Effects of Temperature and Total Pressure on H2S Fugacity, Activity, and Solubility Coefficients

Product Number: 51323-18762-SG
Author: Brent W.A. Sherar, Diana Miller, Hui Li
Publication Date: 2023
$20.00

Traditionally, sour severity of high-pressure, high temperature (HPHT) oil and gas production wells were assessed by H2S partial pressure (PH2S): The mole fraction of H2S in the gas (yH2S) multiplied by the total pressure (PT). While PH2S is appropriate for characterizing the sour severity of wellbores operating at low total pressures (e.g., PT < 35 MPa) and/or for highly sour systems (e.g., yH2S > 1 mol%), PH2S usually over-predicts the actual sour severity of HPHT systems, leading to sub-optimal material selection options. 
Picture for Methods to Assess Carburization Damage and Remaining Life in Fired Heater Tubes
Available for download

Methods to Assess Carburization Damage and Remaining Life in Fired Heater Tubes

Product Number: 51323-18771-SG
Author: Jeff Goldstein
Publication Date: 2023
$20.00

Fired heaters in coking service are susceptible to carburization damage, which needs to be predicted and managed to prevent unexpected downtime and expedited replacement costs. Carburization damage occurs when carbonaceous material, i.e., coke, is deposited on a steel surface and exposed to high metal temperatures; such are the internal conditions present in fired heater tubes in coking services. At these high temperatures, the carbon diffuses into the steel microstructure and increases the hardness while reducing ductility. At an advanced state, this reduction in ductility may lead to tube failure if a mechanical or thermal shock is applied. The diffusion of carbon can also cause the formation of deleterious chromium carbides in the steel microstructure, reducing the high temperature corrosion resistance in those areas.
Picture for Developing an Appropriate Heat Treatment Protocol for Additively Manufactured Alloy 718 for Oil and Gas Applications
Available for download

Developing an Appropriate Heat Treatment Protocol for Additively Manufactured Alloy 718 for Oil and Gas Applications

Product Number: 51323-18793-SG
Author: M.R. Stoudt, M.E. Williams, J.S. Zuback, K.W. Moon, C.E. Campbell, C.R. Beauchamp, M. Yunovich
Publication Date: 2023
$20.00

Additive manufacturing (AM) is a transformative technology that has opened areas of design space that were previously inaccessible by enabling the production of complex, three-dimensional parts and intricate geometries that were impractical to produce via traditional manufacturing methods. However, the extreme thermo-mechanical conditions in the AM build process (e.g., cooling rates ranging from 103 K/s
to 106 K/s and repeated heating/cooling cycles) generate deleterious microstructures with high residual stresses, and extreme compositional gradients.
Categories
Industry
Recently viewed
Popular tags
View all

Association for Materials Protection and Performance

© AMPP All Rights Reserved.
Membership Terms of Content Use
Contact Customer Support