Identification of influential parameters through sensitivity analysis of the TOUGH + Hydrate model using LH-OAT sampling

Author:

Huang Junyi,Xu Jun,Xia Zhen,Liu Liqiang,Zhang Yinbo,Li Jing,Lan Guangdong,Qi Yuekun,Kamon Masashi,Sun Xiaoming,Li Yan

Funder

Gas Hydrate Prospecting Assessment and Trial Mining Project

Gas Hydrate Resource Exploration and Mining Project

Chinese National Science Foundation

Guangdong Science–Technology Planning Project

Chinese National Undergraduate Innovative Training Program

Guangdong Provincial Marine and Fishery Special Foundation of Science and Technology Dissemination Project

Publisher

Elsevier BV

Subject

Stratigraphy,Economic Geology,Geology,Geophysics,Oceanography

Reference115 articles.

1. Key criteria and selection of sensitivity analysis methods applied to natural resource models;Ascough,2005

2. The sensitivity analysis of scaling criteria in gas hydrate reservoir physical simulation;Bai;Energ. Convers. Manage.,2013

3. Incorporating output variance in local sensitivity analysis for stochastic models;Bar Massada;Ecol. Model.,2008

4. Plackett–Burman techniques for sensitivity analysis of many-parametered models;Beres;Ecol. Model.,2001

5. Comparison of global sensitivity analysis techniques and importance measures in PSA;Borgonovo;Reliab. Eng. Syst. Safe.,2003

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