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 and uncertainty analyses. Our company primarily uses CMG's GEM and CMOST, and we are considering their application to various evaluations related to CCS. Furthermore, we are investigating and examining suitable analytical methods for various reservoir evaluations by applying Python modules such as SaLib to other reservoir simulators. [Research 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 the accuracy of input data at different stages of data acquisition References 1) GEM User Guide Computer Modelling Group Ltd. 2) CMOST User Guide Computer Modelling Group Ltd.
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Our company aims to contribute to the international community as a good advisor with a broad perspective, connecting limited resources and invaluable nature to the next generation. With over 50 years of experience and the utilization of the latest technologies, we respond to customer needs in a wide range of fields related to energy and the environment, including oil and natural gas development and production, new energy development such as methane hydrate and geothermal energy, technology development for reducing environmental impact including carbon dioxide capture, storage, and utilization (CCS/CCUS), and HSE consulting.
