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Application of a Linked Methodology for Probabilistic Evaluation of Three-Dimensional Carbon Dioxide Storage Capacities: A Case Study of the Pohang Basin, Korea
삼차원 이산화탄소 저장 용량의 확률론적 평가를 위한 연계 방법론의 적용: 한국 포항분지 사례연구

DC Field Value Language
dc.contributor.advisor이준기-
dc.contributor.author박재용-
dc.date.accessioned2019-05-07T07:01:16Z-
dc.date.available2019-05-07T07:01:16Z-
dc.date.issued2019-02-
dc.identifier.other000000154760-
dc.identifier.urihttps://hdl.handle.net/10371/152917-
dc.description학위논문 (박사)-- 서울대학교 대학원 : 자연과학대학 지구환경과학부, 2019. 2. 이준기.-
dc.description.abstractThe linked methodology is applied to perform probabilistic evaluation of individual gas-, liquid-, supercritical-, and whole fluid-phase carbon dioxide (CO2) storage capacities. In order to perform probabilistic evaluation of individual gas-, liquid-, supercritical-, and whole fluid-phase CO2 storage capacities, grid-based geologic formation volume, grid-based CO2 density, and grid-based CO2 storage capacity are evaluated through three-dimensional geologic modeling and grid-based Monte Carlo simulation sequentially as the linked methodology. The two clastic saline formations, which are the sandstone-dominant Fluvial Conglomerate and Sandstone (FCSS) and Shallow Marine Sandstone (SMSS) in the Pohang Basin, are selected as the target clastic saline formations. The results of the three-dimensional geologic modeling show that the six geologic formations are distributed very complicatedly both onshore and offshore with irregular depths and thicknesses, and they are partly dissected and offset by the eight major faults. The two clastic saline formations SMSS and FCSS are deep and thick at the three prospective areas such as Areas 1, 2, and 3 in the modeling domain. The results of the grid-based Monte Carlo simulation show the following three main contents. First, in the two clastic saline formations SMSS and FCSS, CO2 exists as gas, liquid, and supercritical phases with the corresponding distinctive density ranges depending on the pressure and temperature with depth. Second, the theoretical individual gas-, liquid-, supercritical-, and whole fluid-phase CO2 storage capacities all show asymmetric normal distributions. On the other hand, the effective individual gas-, liquid-, supercritical-, and whole fluid-phase CO2 storage capacities of the saline formations all show log-normal distributions, and their values are much lower than the values of the theoretical individual gas-, liquid-, supercritical-, and whole fluid-phase CO2 storage capacities. Third, in the SMSS, the grid-wise (elemental) theoretical and effective fluid-phase CO2 storage capacities are probabilistically higher at Area 1 (mainly as supercritical and liquid phases), intermediate at Area 2 (mainly as liquid and gas phases), and lower at Area 3 (mainly as a gas phase). However, in the FCSS, the grid-wise theoretical and effective fluid-phase CO2 storage capacities are probabilistically higher at Area 2 (mainly as supercritical and liquid phases), intermediate at Area 1 (mainly as a supercritical phase), and lower at Area 3 (mainly as a gas phase). Finally, four key criteria (parameters) for selecting or ranking the optimal CO2 storage locations are decided by summarizing and analyzing the results of the three-dimensional geologic modeling and grid-based Monte Carlo simulation. On the basis of the four key criteria (parameters), the overall suitability ranks of Areas 1, 2, and 3 for geologic CO2 storage are determined to be the first, second, and third, respectively.-
dc.description.tableofcontentsAbstract i

Contents iv

List of Tables vi

List of Figures ix

1. Introduction 1

1.1. Global warming and geologic storage of carbon dioxide 1

1.2. Previous studies 10

1.3. Improvements and developments of this study 27

1.4. Objectives of this study 31

2. Linked methodology 33

2.1. Three-dimensional geologic modeling 33

2.2. Grid-based Monte Carlo simulation 37

3. Study area 53

3.1. Location and geological settings 53

3.2. Assignment of geologic formations for geologic carbon dioxide storage 57

4. Three-dimensional geologic modeling 60

4.1. Three-dimensional geologic modeling setups 60

4.2. Three-dimensional geologic models 62

5. Fluid-phase carbon dioxide storage capacity estimation 70

5.1. Grid-based Monte Carlo simulation setups 70

5.2. Probability density distributions of input data 73

5.3. Probability density distributions of fluid-phase carbon dioxide storage capacities 82

5.4. Comparison with the results of the US DOE methodology 97

6. Three-dimensional carbon dioxide storage capacities 106

6.1. Spatial distributions of fluid-phase carbon dioxide storage capacities 106

6.2. Optimal locations of carbon dioxide storage 120

7. Discussions 136

8. Conclusions 140

References 145

Abstract in Korean 165
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dc.language.isoeng-
dc.publisher서울대학교 대학원-
dc.subject.ddc550-
dc.titleApplication of a Linked Methodology for Probabilistic Evaluation of Three-Dimensional Carbon Dioxide Storage Capacities: A Case Study of the Pohang Basin, Korea-
dc.title.alternative삼차원 이산화탄소 저장 용량의 확률론적 평가를 위한 연계 방법론의 적용: 한국 포항분지 사례연구-
dc.typeThesis-
dc.typeDissertation-
dc.contributor.AlternativeAuthorJai-Yong Park-
dc.description.degreeDoctor-
dc.contributor.affiliation자연과학대학 지구환경과학부-
dc.date.awarded2019-02-
dc.identifier.uciI804:11032-000000154760-
dc.identifier.holdings000000000026▲000000000039▲000000154760▲-
Appears in Collections:
College of Natural Sciences (자연과학대학)Dept. of Earth and Environmental Sciences (지구환경과학부)Theses (Ph.D. / Sc.D._지구환경과학부)
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