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Abstract

Summary

This study explores the cost sensitivity of geological CO2 storage in Southwestern Ontario, an area identified for its potential to support Canada’s carbon reduction targets under the Net-Zero Emissions Accountability Act. Combining reservoir simulation results with a review of cost models, the analysis evaluates eight cost estimation frameworks. The models were optimized against a validation benchmark based on . Among them, McCollum & Ogden’s model (2006) demonstrated the highest predictive accuracy, as confirmed by regression and error analysis. Sensitivity analysis using Taguchi and ANOVA methods revealed that well depth has minimal cost impact within the studied area, while the number of wells has a moderate influence. Conversely, mass flow rate significantly affects total costs, with higher rates reducing expenses, underscoring its importance in optimizing cost-efficiency. These findings provide insights into the financial feasibility of CO2 storage in the region and highlight the need for tailored cost models to account for local geological and operational variations. This study serves as a foundational resource for decision-makers aiming to advance sustainable CCUS implementation in Southwestern Ontario.

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/content/papers/10.3997/2214-4609.202522008
2025-09-01
2026-02-11
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