
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Effects of geologic reservoir uncertainty on CO2 transport and storage infrastructure

CO2 capture and storage (CCS) is a climate-change mitigation technology that can significantly reduce greenhouse gas emissions in the near future. To have a meaningful impact, CCS infrastructure will have to be deployed on a massive scale; in the U.S. this will require capturing CO2 from hundreds of fossil fuel power plants and building a dedicated pipeline network to transport a volume of CO2 greater than domestic oil consumption. In this paper, we analyze the effect of geologic reservoir uncertainty on constructing CCS infrastructure—geologic uncertainty can impact reservoir cost and capacity estimates by as much as an order of magnitude. This uncertainty propagates through the capture–transport–storage system, influencing decisions including where and how much CO2 should be captured. We demonstrate the effect of geologic uncertainty using a proposed oil shale industry that could generate tens of millions of tonnes of CO2 each year. We show that uncertainty can make transport and storage costs deviate by over 100% and that CCS infrastructure, particularly the optimal pipeline network, can considerably diverge spatially. Finally, we draw conclusions on how geologic uncertainty may end up being a driving factor on how major industries decide to manage produced CO2.
- Los Alamos National Laboratory United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).69 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
