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Abstract

Summary

Caprock integrity is important for CO2 storage to prevent leaks and failures. Accurate and systematic assessment of the caprock’s sealing ability, capacity, and shape under increasing confining pressures can identify risk factors and help mitigate leakage risk effectively. Laboratory measurements of core samples provide critical data on the responses of the caprock to pressure and changes in mechanical properties. Parameters from various tests and measurements namely, Triaxial compression, Ultrasonic velocity, In-situ stress deformation, and Mohr-Coulomb Failure envelope allowed rapid analysis of caprock parameters. Evaluation of caprock conditions using 21 collected records on 17 features using Random Forest algorithm for feature selection was attempted in this study. Caprock potential prediction was done using Bagging SVM classifiers with authentic labels, based on Low to High risk entities. Uncertainty estimation evaluated the outcomes and validated the predictions.

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/content/papers/10.3997/2214-4609.202379024
2023-11-21
2025-04-17

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/content/papers/10.3997/2214-4609.202379024
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A Hybrid Approach to Caprock Potential Assessment and Uncertainty Estimation: Bagging SVM and Random Forest
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.202379024
/content/papers/10.3997/2214-4609.202379024
/content/papers/10.3997/2214-4609.202379024
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