Probabilistic modeling and global sensitivity analysis for $CO_2$ storage in geological formations: a spectral approach

@article{Saad2016ProbabilisticMA,
  title={Probabilistic modeling and global sensitivity analysis for \$CO\_2\$ storage in geological formations: a spectral approach},
  author={Bilal Saad and Alen Alexanderian and Serge Prudhomme and Omar M. Knio},
  journal={arXiv: Computation},
  year={2016}
}
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6 Citations

6 Citations

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References

SHOWING 1-10 OF 61 REFERENCES

An integrative approach to robust design and probabilistic risk assessment for CO2 storage in geological formations

It is demonstrated that, due to the non-linearity of the flow and transport processes during CO2 injection, including uncertainty in the analysis leads to a systematic and significant shift of the predicted leakage rates toward higher values compared with deterministic simulations, affecting both risk estimates and the design of injection scenarios.

Probabilistic Assessment of Above Zone Pressure Predictions at a Geologic Carbon Storage Site

A data-driven approach of arbitrary Polynomial Chaos (aPC) Expansion is used to quantify the uncertainty in the above zone pressure prediction based on the uncertainties in different geologic parameters and indicates that there can be uncertainty in pressure prediction locally around the leakage zones.

Brine migration resulting from CO2 injection into saline aquifers – An approach to risk estimation including various levels of uncertainty

A concept for data-driven uncertainty quantification and its application to carbon dioxide storage in geological formations

Assessing leakage detectability at geologic CO2 sequestration sites using the probabilistic collocation method

Efficient uncertainty quantification of a fully nonlinear and dispersive water wave model with random inputs

This work presents a formulation of a fully nonlinear and dispersive potential flow water wave model with random inputs for the probabilistic description of the evolution of waves using random sampling techniques and nonintrusive methods based on generalized polynomial chaos (PC).

Global sensitivity analysis in an ocean general circulation model: a sparse spectral projection approach

Polynomial chaos (PC) expansions are used to propagate parametric uncertainties in ocean global circulation model. The computations focus on short-time, high-resolution simulations of the Gulf of…

CO2 leakage through an abandoned well: problem-oriented benchmarks

The efficiency and sustainability of carbon dioxide (CO2) storage in deep geological formations crucially depends on the integrity of the overlying cap-rocks. Existing oil and gas wells, which…

Semianalytical solution for CO2 leakage through an abandoned well.

A new semianalytical solution framework allows simple and efficient prediction of leakage rates for the case of injection of supercritical CO2 into a brine-saturated deep aquifer and estimates the CO2 plume extent in the overlying aquifer into which the fluid leaks.

Investigations on CO2 storage capacity in saline aquifers: Part 1. Dimensional analysis of flow processes and reservoir characteristics

...