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应对大规模碳储存和制氢的挑战。

Meeting the challenges of large-scale carbon storage and hydrogen production.

机构信息

Geophysics Emeritus at Stanford University, Stanford, CA 94305.

Shell Global Solutions International, Grasweg 31, 1031 HW Amsterdam, Netherlands.

出版信息

Proc Natl Acad Sci U S A. 2023 Mar 14;120(11):e2202397120. doi: 10.1073/pnas.2202397120. Epub 2023 Mar 6.

DOI:10.1073/pnas.2202397120
PMID:36877852
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10089151/
Abstract

There is a pressing need to rapidly, and massively, scale up negative carbon strategies such as carbon capture and storage (CCS). At the same time, large-scale CCS can enable ramp-up of large-scale hydrogen production, a key component of decarbonized energy systems. We argue here that the safest, and most practical strategy for dramatically increasing CO storage in the subsurface is to focus on regions where there are multiple partially depleted oil and gas reservoirs. Many of these reservoirs have adequate storage capacity, are geologically and hydrodynamically well understood and are less prone to injection-induced seismicity than saline aquifers. Once a CO storage facility is up and running, it can be used to store CO from multiple sources. Integration of CCS with hydrogen production appears to be an economically viable strategy for dramatically reducing greenhouse gas emissions over the next decade, particularly in oil- and gas-producing countries where there are numerous depleted reservoirs that are potentially suitable for large-scale carbon storage.

摘要

当前迫切需要快速大规模地扩大负碳战略,如碳捕集与封存(CCS)。与此同时,大规模 CCS 可以促进大规模氢气生产,这是脱碳能源系统的关键组成部分。在这里,我们认为,大幅度增加地下 CO2 储存的最安全、最实用的策略是集中在那些有多个部分枯竭的油气藏的地区。这些储层中的许多都有足够的储存能力,在地质和水动力方面都有很好的了解,而且不像盐水含水层那样容易受到注入引起的地震的影响。一旦 CO2 储存设施投入运行,就可以用于储存来自多个来源的 CO2。CCS 与氢气生产相结合,似乎是在未来十年内大幅减少温室气体排放的一种经济可行的策略,特别是在那些有许多可能适合大规模碳储存的枯竭储层的石油和天然气生产国。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/94bd1e31845b/pnas.2202397120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/8bb039f23ed6/pnas.2202397120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/a5ec29875500/pnas.2202397120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/1ea33e3a6726/pnas.2202397120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/94bd1e31845b/pnas.2202397120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/8bb039f23ed6/pnas.2202397120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/a5ec29875500/pnas.2202397120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/1ea33e3a6726/pnas.2202397120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf1/10089151/94bd1e31845b/pnas.2202397120fig04.jpg

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Physics-based forecasting of man-made earthquake hazards in Oklahoma and Kansas.基于物理的俄克拉荷马州和堪萨斯州人为地震灾害预测。
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