Injection data analysis using material balance time for CO2 storage capacity estimation in deep closed saline aquifers

Author(s):  
Mohamed Abdelaal ◽  
Mehdi Zeidouni
2021 ◽  
pp. petgeo2020-117
Author(s):  
Giampaolo Proietti ◽  
Marko Cvetković ◽  
Bruno Saftić ◽  
Alessia Conti ◽  
Valentina Romano ◽  
...  

One of the most innovative and effective technologies developed in recent decades for reducing carbon dioxide emissions to the atmosphere is CCS (Carbon Capture & Storage). It consists of capture, transport and injection of CO2 produced by energy production plants or other industries. The injection takes place in deep geological formations with the suitable geometrical and petrophysical characteristics to permanently trap CO2 in the subsurface, which is called geological storage. In the development process of a potential geological storage site, correct capacity estimation of the injectable volumes of CO2 is one of the most important aspects. There are various approaches to estimate CO2 storage capacities for potential traps, including geometrical equations, dynamic modelling, numerical modelling, and 3D modelling. In this work, generation of three-dimensional petrophysical models and equations for calculation of the storage volumesare used to estimate the effective storage capacity of four potential saline aquifers in the Adriatic Sea offshore. The results show how different saline aquifers, with different lithologies at favourable depths, can host a fair amount of CO2, that will imply a further and more detailed feasibility studies for each of these structures. A detailed analysis is carried out for each saline aquifer identified, varying the parameters of each structure identified, and adapting them for a realistic estimate of potential geological storage capacity.Thematic collection: This article is part of the Geoscience for CO2 storage collection available at: https://www.lyellcollection.org/cc/geoscience-for-co2-storage


2017 ◽  
Vol 23 (3) ◽  
pp. 339-352 ◽  
Author(s):  
A. L. Clarke ◽  
J. Imber ◽  
R. J. Davies ◽  
J. van Hunen ◽  
S. E. Daniels ◽  
...  

2011 ◽  
Vol 4 ◽  
pp. 4828-4834 ◽  
Author(s):  
D.J. Smith ◽  
D.J. Noy ◽  
S. Holloway ◽  
R.A. Chadwick

2007 ◽  
Vol 1 (4) ◽  
pp. 430-443 ◽  
Author(s):  
Stefan Bachu ◽  
Didier Bonijoly ◽  
John Bradshaw ◽  
Robert Burruss ◽  
Sam Holloway ◽  
...  

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