羽状断层相遇概率估计中的断层密度测量与建模

P. Jordan, C. Oldenburg, J. Nicot
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引用次数: 1

摘要

化石燃料发电站排放的二氧化碳加剧了全球气候变化。将这些二氧化碳储存在地质地层的孔隙中(地质碳储存)是缓解气候变化的一种方法,否则就会发生气候变化。为了缓解这种情况,需要向盖层覆盖的储层中充满盐水的孔隙空间注入大量储层。在这种岩石中储存的主要问题之一是通过断层泄漏。在站点选择的早期阶段,站点特定的故障覆盖率通常是不可用的。这就需要一种方法,利用现有的断层数据来估计注入的二氧化碳遇到断层并向上运移的可能性,主要是由于浮力的作用。故障种群统计是计算故障偶遇概率的主要输入之一。结果表明,以往的断层种群统计工作同样适用于断层密度统计。将这一结果应用到San Joaquin盆地南部的一个案例研究中,结果表明,先前计划注入的二氧化碳羽流有3%的机会遇到完全封闭的抵消断层。
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Measuring and Modeling Fault Density for Plume-Fault Encounter Probability Estimation
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.
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