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Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration
We found that the dissolution reaction rate constant of quartz and the distance to the flowing backbone in the fracture network are the two most important features that control the amount of quartz left in the system.
Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
In this paper, we perform a Sensitivity Analysis, which directly attributes the uncertainty observed in the QoI to the epistemic uncertainty from each input parameter and to the aleatoric uncertainty.
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Restricting the flowing fracture network to this backbone provides a significant reduction in the network's effective size.
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