Earth and Environmental Sciences Division, Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, New Mexico 87545, USA.
Environ Sci Technol. 2011 Jan 1;45(1):215-22. doi: 10.1021/es101470m. Epub 2010 Aug 10.
We explore carbon capture and sequestration (CCS) at the meso-scale, a level of study between regional carbon accounting and highly detailed reservoir models for individual sites. We develop an approach to CO(2) sequestration site screening for industries or energy development policies that involves identification of appropriate sequestration basin, analysis of geologic formations, definition of surface sites, design of infrastructure, and analysis of CO(2) transport and storage costs. Our case study involves carbon management for potential oil shale development in the Piceance-Uinta Basin, CO and UT. This study uses new capabilities of the CO(2)-PENS model for site screening, including reservoir capacity, injectivity, and cost calculations for simple reservoirs at multiple sites. We couple this with a model of optimized source-sink-network infrastructure (SimCCS) to design pipeline networks and minimize CCS cost for a given industry or region. The CLEAR(uff) dynamical assessment model calculates the CO(2) source term for various oil production levels. Nine sites in a 13,300 km(2) area have the capacity to store 6.5 GtCO(2), corresponding to shale-oil production of 1.3 Mbbl/day for 50 years (about 1/4 of U.S. crude oil production). Our results highlight the complex, nonlinear relationship between the spatial deployment of CCS infrastructure and the oil-shale production rate.
我们探讨了中观尺度的碳捕获与封存(CCS),这是一个在区域碳核算和单个地点的详细储层模型之间的研究层次。我们开发了一种针对工业或能源发展政策的 CO(2)封存选址筛选方法,其中包括确定合适的封存盆地、分析地质构造、定义地表选址、设计基础设施以及分析 CO(2)输送和存储成本。我们的案例研究涉及科罗拉多州普韦布洛和犹他州皮斯卡特基尤恩塔盆地潜在油页岩开发的碳管理。本研究利用 CO(2)-PENS 模型的新功能进行选址筛选,包括多个地点的简单储层的储层容量、注入能力和成本计算。我们将其与优化源汇网络基础设施模型(SimCCS)相结合,为给定的工业或地区设计管道网络并最小化 CCS 成本。CLEAR(uff)动力学评估模型计算了各种石油产量水平下的 CO(2)源项。在 13300 平方公里的区域内有 9 个地点具有储存 6.5 GtCO(2)的能力,相当于 50 年内每天生产 1.3 万桶油页岩(约占美国原油产量的 1/4)。我们的研究结果突出了 CCS 基础设施的空间部署与油页岩产量之间的复杂、非线性关系。