Q-ICDA is our technical algorithm that pin-points the most probable locations for internal corrosion based upon post-processing of raw pipeline flow modelling data with consideration of internal corrosion deterioration mechanisms.
Q-ICDA algorithms are the foundation of NACE - ICDA standard methods, and proven against in-line inspection data as a reliable method for pin-pointing the most probable corrosion locations along a pipeline to exhibit significant corrosion damage >50% wall loss.
Q-ICDA hazard assessment algorithms provide the foundation for risk-based mitigation guidance for field, operation and chemical teams.
Create a rigorous Pipeline Integrity Plan that considers the corrosion profile and mitigation response for the highest-risk oil and gas pipelines, with consideration of potential environmental impact and business losses.
Characterize the operating conditions that can lead to oil-water slippage in crude oil sales pipelines, and subsequent accumulation of stagnant water traps; potential locations for corrosion along the pipeline.
Although the chance of internal corrosion is considered a very unlikely occurrence, the probability of corrosion may not be nil. It is important to consider the implications of episodic upsets to upstream processing facilities, and to establish the appropriate mitigation response by application of Q-ICDA within a formal integrity management plan.
Q-ICDA creates a hazard assessment profile along the entire pipeline route, with consideration the over-life integrity implications of steady-state, and upset operating conditions.
This innovative combination of fluid hydraulic data with corrosion mechanism algorithms embedded into the Q-ICDA method is well supported by industry and has formed the basis for the NACE - ICDA technical standard.
Q-ICDA integrates into NACE - ICDA projects to provide the basis for hazard assessment, and integrity management plans proven to deliver long-term reliable operation.
Quantitative Internal Corrosion Direct Assessment (Q-ICDA) incorporates Pipeline Fluid Flow Data to Establish Corrosion Rate & Corrosion Pitting Profiles along the Pipeline.
Post-processing algorithms applied onto raw pipeline modelling data transforms water-film transport properties into a corrosion damage profile
Application of corrosion rates onto most probable locations (MPL's) of corrosion damage creates an estimate of expected over-life corrosion damage along the pipeline.