Rapid Fault Leakage Modelling for CO2 Storage in Saline Aquifers

Journal Article (2026)
Author(s)

Hariharan Ramachandran (Heriot-Watt University)

Iain de Jonge-Anderson (Heriot-Watt University)

Ikhwanul Hafizi Musa (Petronas Research)

Uisdean Nicholson (Heriot-Watt University)

Chee Phuat Tan (EJ Geomechanics Consulting, Petronas)

S. Geiger (TU Delft - Geoscience and Engineering)

Florian Doster (Heriot-Watt University)

DOI related publication
https://doi.org/10.1029/2025WR041074 Final published version
More Info
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Publication Year
2026
Language
English
Journal title
Water Resources Research
Issue number
4
Volume number
62
Article number
e2025WR041074
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Abstract

Simulating the fluid flow along fault zones at different scales is essential for predicting the CO2 leakage and containment during injection and storage. However, this can be challenging, especially in the early stages of a storage project when knowledge of the reservoir and caprock is limited and the cost of obtaining the relevant data is high. This study develops a tool for fast screening of fault leakage at the site screening stage. The tool uses a vertically integrated reservoir model coupled with a newly developed upscaled fault leakage function based on source/sink relations. The fault is conceptualized as an increased vertical permeability through the caprock due to the presence of a fracture network in the damage zone and a reduced horizontal permeability in the reservoir due to fault throw and presence of a low-permeability fault core. The proposed tool is validated against numerical simulations demonstrating strong agreement in predicting leakage rates under varying reservoir conditions. The model's capabilities are further tested through simulation cases, including a field-scale application in the Malay Basin. These cases revealed key insights into the roles of fault permeability and fault capillary entry pressure in controlling leakage and highlighted the importance of accurately characterizing these properties to mitigate risks. The computationally efficient model presented in this study is a valuable tool for quantifying uncertainties in key fault parameters, and other constitutive relations that affect the behavior of the storage reservoir and potential fault leakage.