This software offers a comprehensive review for all modes of corrosion and metal loss possible in a a CCS system. Pace CCS have drawn on broad and deep experience with CCS projects across the world to provide a comprehensive solution for any CO2 quality and any operating conditions, from capture to reservoir.

This software includes consideration of all hypothetical and real world CCS corrosion modes:

✓ Corrosion risk as experienced on the Gorgon CCS project
✓ Corrosion risk as experienced in Decatur, Illinois
✓ Chemical reactions and strong acids as demonstrated in laboratory conditions
✓ Corrosion risk created as a result of TEG dehydration

The output from this software will provide a sound, evidence-backed conservative design basis for any CCS project. A full technical report of all results is provided.

Corrosion due to Strong Acids

✓ Full chemical reaction pathways to sulfuric or nitric acid
✓ All potential reactive species: SOx, NOx, H2S, COS, CS2, CO, O2 and others
✓ All observed and thermodynamically likely chemical reactions
✓ Comprehensive chemical reaction database by Pace CCS and Oxford University
✓ Well and pipeline corrosion

Corrosion due to free water

✓ Rapid corrosion risk due to condensing free water
✓ Best available predictions of free water dewpoint
✓ Carbon steel systems due commissioning and other transient modes

Solids due to chemical reactions

✓ Ammonium salts and elemental sulphur
✓ All observed and thermodynamically likely chemical reactions
✓ Comprehensive chemical reaction database by Pace CCS and Oxford University
✓ Conservative solid loading predictions to inform design and operations

Corrosion due to induced aqueous phases

✓ Corrosive aqueous phases induced by TEG, MEG, methanol, ethanol & propanol
✓ Pace CCS evolutionary algorithm to find the worst case for any carbon steel system
✓ Best available predictions of corrosive aqueous phase composition
✓ Thermodynamic prediction benchmarked to laboratory testing delivered by Pace CCS

Strong technical basis

✓ Thermodynamic modelling delivered by Pace CCS tuned to experimental data
✓ Ongoing laboratory programme to improve first-droplet dewpoint and composition predictions
✓ Chemical reactions database by Pace CCS and Oxford University
✓ Pace CCS evolutionary algorithm to determine the worst case for any CCS design
✓ Best available sulfuric and nitric acid solubility prediction