Metal Samples in partnership with Honeywell Corrosion Solutions offers the industry-leading corrosion prediction software suite which allows you to accurately predict and assess corrosion. These software offer easy-to-implement solutions to complex corrosion prediction and material selection problems for process piping (refinery units), oil/gas pipelines and production systems. |
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Driving a New Approach to Corrosion Management
The Honeywell Predict Corrosion Suite is a unique solution for today’s operations, which is driving a paradigm shift in tackling difficult corrosion problems, and achieving efficient and safe operations. These software solutions enable users to move away from a reactive response to corrosion based on qualitative, manual inspections, to a proactive, reliability-centric predictive approach based on quantitative information from soft sensors and sound process deviation management and “what-if” scenario analysis tools. |
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- Use prediction models/what-if analysis to identify critical corrosion locations
- Establish IOWs with
respect to corrosion
- Plan and design to avoid
corrosion failures
- Optimize feedstock selection with visibility into corrosion impact
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- Correlate process
changes to corrosion rates
- Know and correctly quantify current health of assets
- Push operations to corrosion limits with visibility and assurance
- Regard corrosion as a process variable
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- Deploy resources to support asset integrity/reliability programs
- Provide visibility for
responsive actions
- Ensure economic agility
for feedstock and
corrosion optimization
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Corrosion rates are visible together with operating data and are relevant to operational teams working on preventing damage and extending equipment life. Multiple stakeholders can leverage corrosion information for a more proactive approach to corrosion management that includes collaboration across the business.
Comprehensive Solutions Portfolio
The Honeywell Predict Corrosion Suite uniquely combines proprietary engineering models with decades of industry-specific research – resulting in software applications that transform process data into valuable corrosion intelligence.
Honeywell has developed a wide range of corrosion prediction solutions to address specific industries
and applications.
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• Predict
Predict corrosion and erosion in carbon steel
• Predict-Pipe
Automate pipeline Internal Corrosion Direct Assessments (ICDA)
• Socrates
Select corrosion-resistant alloy material for
oil & gas applications
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• Predict-Amine
Predict corrosion
in rich and lean amine systems
• Predict-SW
Predict and model sour water corrosion in
NH4HS environments
• Predict-Crude
Quantify corrosion to
enable safe crude unit operations
• Predict-SA
Quantify corrosion in sulfuric acid alkylation units
• Predict-RT
Real-time, intelligent
corrosion analytics
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Predict® helps users predict and control carbon steel corrosion and erosion in CO2 and H2S environments. It is applicable to most Oil & Gas environments, as well as a number of midstream, pipeline and downstream applications.
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Predict®-Pipe enables easy and accurate Internal Corrosion Direct Assessment of both gas (DG-ICDA, WG-ICDA) and liquid petroleum (LP-ICDA) pipelines exposed to corrosive environments due to water and solids accumulation.
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Socrates® is a comprehensive corrosion resistant alloy (CRA) material selection system for corrosive oil and gas applications.
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Predict®-Amine enables gas plants and refineries to predict and quantify corrosion in rich and lean amine systems.
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Predict®-SW accurately predicts corrosion rates for typical process plant materials in corrosive alkaline sour water environments (NH4HS).
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Predict®-Crude enables accurate quantification of corrosion due to Naphthenic acid and sulfidic corrosion (termed crude corrosivity) in crude refining unit operations.
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Predict®-SA helps users predict and quantify corrosion in sulfuric acid alkylation units.
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Predict®-RT is an industry award winning software that gets refinery engineers and plant managers inside their assets, giving them real-time visibility on internal corrosion in piping and equipment. Combining field-proven corrosion prediction and refinery process data, it gives at-a-glance insight into cumulative corrosion damage and instantaneous rates across the plant.
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