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Distance based generalized sensitiviy analysis (DGSA)

The program is to apply DGSA to obtain main/conditional effects and utilize them in uncertainty quantification.

All variables, procedures, and results are provided at Manual_DGSA.pdf

Main scripts

  1. main_DGSA_analytic.m: an analytic example originally written by Céline Scheidt. The forward model is simply a bivariate function that helps users understand and utilize DGSA.

  2. main_DGSA_Reservoir_Sensitivity.m: an example of applying DGSA to reservoir responses. Both main and conditional effects are computed and visualized. In addition, responses are plotted according to the classes they belong to.

  3. main_DGSA_ParameterUncertaintyReduction.m: uncertainty of parameters is reduced by decreasing uncertainty of insensitive parameters based on net conditional effects. The third script uses the variables from the second script – they are separated for convenience. Thus, if a user wants to perform reduction of parameter uncertainty, the second script main_DGSA_Reservoir_Sensitivity should be run first and all the results should be saved.

  4. main_compareDGSA_Sobol.m: validates the results of DGSA by comparing to Sobol’s indices. If a user only needs to apply DGSA, he or she does not need to run this script.