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}
}
5 Citations

Structure exploiting methods for fast uncertainty quantification in multiphase flow through heterogeneous media

A computational framework for dimension reduction and surrogate modeling to accelerate uncertainty quantification in computationally intensive models with high-dimensional inputs and function-valued outputs and demonstrates the effectiveness of the proposed surrogate modeling approach with a comprehensive set of numerical experiments.

Sensitivity-Driven Adaptive Construction of Reduced-space Surrogates

It is observed that significant computational gains can be attained by constructing accurate low-dimensional surrogates using the proposed framework.

Inferring pore radius and density from ultrasonic attenuation using physics-based modeling.

This work validates the use of both the ISA and WT approximations to model ultrasonic wave attenuation in heterogeneous structures mimicking cortical bone, and illustrates the effectiveness of both models in inferring pore radius and density solely from ultrasonic attenuation data.

Avaliação do uso da Simulação de Monte Carlo em problemas de Programação Linear

Este artigo tem por objetivo comparar os resultados de um problema primal de Programação Linear (PL), obtidos por meio das abordagens determinística e estocástica. Utilizando técnicas da Pesquisa

Bayesian experimental design for CO2 sequestration with leakage risk assessment

Purpose The author examine the sequestration of CO2 in abandoned geological formations where leakages are permitted up to only a certain threshold to meet the international CO2 emissions standards.

References

SHOWING 1-10 OF 62 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.

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.
...