nerc.ac.uk

Using pressure and volumetric approaches to estimate CO2 storage capacity in deep saline aquifers

Thibeau, Sylvain; Bachu, Stefan; Birkholzer, Jens; Holloway, Sam; Neele, Filip; Zhou, Quanlin. 2014 Using pressure and volumetric approaches to estimate CO2 storage capacity in deep saline aquifers. Energy Procedia, 63. 5294-5304. https://doi.org/10.1016/j.egypro.2014.11.560

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access Paper)
1-s2.0-S1876610214023753-main.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract/Summary

Various approaches are used to evaluate the capacity of saline aquifers to store CO2, resulting in a wide range of capacity estimates for a given aquifer. The two approaches most used are the volumetric “open aquifer” and “closed aquifer” approaches. We present four full-scale aquifer cases, where CO2 storage capacity is evaluated both volumetrically (with “open” and/or “closed” approaches) and through flow modeling. These examples show that the “open aquifer” CO2 storage capacity estimation can strongly exceed the cumulative CO2 injection from the flow model, whereas the “closed aquifer” estimates are a closer approximation to the flow-model derived capacity. An analogy to oil recovery mechanisms is presented, where the primary oil recovery mechanism is compared to CO2 aquifer storage without producing formation water; and the secondary oil recovery mechanism (water flooding) is compared to CO2 aquifer storage performed simultaneously with extraction of water for pressure maintenance. This analogy supports the finding that the “closed aquifer” approach produces a better estimate of CO2 storage without water extraction, and highlights the need for any CO2 storage estimate to specify whether it is intended to represent CO2 storage capacity with or without water extraction.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1016/j.egypro.2014.11.560
ISSN: 18766102
Date made live: 08 Feb 2016 14:18 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/512893

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...