Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions

doi:10.1007/s10596-020-09953-6

	Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions
	Zhang, Liwei 1,3; Namhata, Argha 4; Dilmore, Robert 2; Wang, Bin 1,3; Wang, Yan 3; Gan, Manguang 1,3; Li, Xiaochun 1,3
刊名	COMPUTATIONAL GEOSCIENCES
	2020-05-19
页码	14
关键词	CO2 storage Mineral dissolution and precipitation Global sensitivity analysis aPC expansion SiO2
ISSN号	1420-0597
DOI	10.1007/s10596-020-09953-6
英文摘要	Numerical modeling of geochemistry associated with geologic CO2 storage involves many conceptual and quantitative uncertainties. In this study, a time efficient arbitrary polynomial chaos (aPC) expansion approach was proposed to do global sensitivity analysis of mineral dissolution and precipitation modeling in geologic carbon storage scenarios. To demonstrate the workflow of the aPC approach, a numerical model to predict permeability evolution of a Lower Tuscaloosa sandstone core exposed to CO2 saturated brine was used. The modeled sandstone core permeability by the aPC approach was 2095.5 mD +/- 504.5 mD after 180 days of CO2 exposure. The measured permeability of the core after 180 days of CO2 exposure was 1925.0 mD, which was within the uncertainty range. K-eq (SiO2 (am)) was the most important modeling parameter that influenced permeability results, implying that SiO2 (am) is a key mineral that governs permeability evolution of sandstone in geologic carbon storage scenarios. The aPC approach can reduce 99% of simulation time needed to do global sensitivity analysis of a complicated geochemical model, compared with traditional Monte Carlo approach.
资助项目	Thousand Talent Program for Outstanding Young Scientists[Y731101B01] ; National Natural Science Foundation of China[41902258] ; National Natural Science Foundation of China[U1967208] ; CAS-ITRI collaborative research funding[CAS-ITRI2019011]
WOS研究方向	Computer Science ; Geology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000534486600001
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/24202]
专题	中科院武汉岩土力学所
通讯作者	Wang, Bin
作者单位	1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.US DOE, Natl Energy Technol Lab, 626 Cochrans Mill Rd, Pittsburgh, PA 15236 USA 3.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China 4.Intera Swiss Branch, Hardstr 73, CH-5430 Wettingen, Switzerland
推荐引用方式 GB/T 7714	Zhang, Liwei,Namhata, Argha,Dilmore, Robert,et al. Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions[J]. COMPUTATIONAL GEOSCIENCES,2020:14.
APA	Zhang, Liwei.,Namhata, Argha.,Dilmore, Robert.,Wang, Bin.,Wang, Yan.,...&Li, Xiaochun.(2020).Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions.COMPUTATIONAL GEOSCIENCES,14.
MLA	Zhang, Liwei,et al."Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions".COMPUTATIONAL GEOSCIENCES (2020):14.