Decarbonization: Sensitivity Analysis and Uncertainty Analysis of Input Parameters

Efficient sensitivity analysis and uncertainty analysis! Introducing various evaluations related to our CCS.

We will introduce the sensitivity analysis and uncertainty analysis of input parameters in our CSS simulation. By applying commercially available sensitivity analysis tools and Python modules to reservoir simulators, we can efficiently conduct sensitivity analysis and uncertainty analysis. We primarily use CMG's GEM and CMOST and are considering their application to various evaluations related to CCS. Additionally, we are investigating and examining suitable analytical methods for various reservoir evaluations by applying Python modules such as SaLib to other reservoir simulators. [Investigation and Examination Items] ■ Issues in scaling up from experimental data to reservoir data ■ Extraction of high-importance input data through sensitivity analysis ■ Proposals for methods to improve the accuracy of high-importance input data ■ Uncertainty evaluation of output values due to differences in input data accuracy at different stages of data acquisition References 1) GEM User Guide Computer Modelling Group Ltd. 2) CMOST User Guide Computer Modelling Group Ltd.

others