| DOI: | 10.2172/1016011
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| 报告号: | LBNL-4538E
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| 报告题名: | Measuring and Modeling Fault Density for Plume-Fault Encounter Probability Estimation |
| 作者: | Moran, J E; Esser, B K; Hillegonds, D; Holtz, M; Roberts, S K; Singleton, M J; Visser, A
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| 出版年: | 2011
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| 发表日期: | 2011-05-15
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| 国家: | 美国
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| 语种: | 英语
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| 中文主题词: | 碳
; 人口
; 二氧化碳
; 密度
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| 主题词: | CARBON
; POPULATION
; CARBON DIOXIDE
; DENSITY
|
| 英文摘要: | Emission of carbon dioxide from fossil-fueled power generation stations contributes to global climate change. Storage of this carbon dioxide within the pores of geologic strata (geologic carbon storage) is one approach to mitigating the climate change that would otherwise occur. The large storage volume needed for this mitigation requires injection into brine-filled pore space in reservoir strata overlain by cap rocks. One of the main concerns of storage in such rocks is leakage via faults. In the early stages of site selection, site-specific fault coverages are often not available. This necessitates a method for using available fault data to develop an estimate of the likelihood of injected carbon dioxide encountering and migrating up a fault, primarily due to buoyancy. Fault population statistics provide one of the main inputs to calculate the encounter probability. Previous fault population statistics work is shown to be applicable to areal fault density statistics. This result is applied to a case study in the southern portion of the San Joaquin Basin with the result that the probability of a carbon dioxide plume from a previously planned injection had a 3% chance of encountering a fully seal offsetting fault. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1016011
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| Citation statistics: |
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| 资源类型: | 研究报告
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/40227
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| Appears in Collections: | 过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响
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| 1016011.pdf（4443KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
Moran, J E,Esser, B K,Hillegonds, D,et al. Measuring and Modeling Fault Density for Plume-Fault Encounter Probability Estimation. 2011-01-01.
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