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Gas monitoring methodology and application to CCS projects as defined by atmospheric and remote sensing survey in the natural analogue of Campo de Calatrava

Paper Topic: 
General
 
Volume: 
 
Issue: 
 

Pages :
269 - 279

Corresponing Author: 
Rincones M.
 
Authors: 
Ortega M.F. , Rincones M. , Elío J. , Gutiérrez del Olmo J., Nisi B., Mazadiego L.F., Iglesias L., Vaselli O., Grandia F., García R., De La Vega R. and Llamas B.
Paper ID: 
gnest_01242
Paper Status: 
Published
Date Paper Accepted: 
30/01/2014
Paper online: 
03/02/2014
Abstract: 

CO2 capture and storage (CCS) projects are presently developed to reduce the emission of anthropogenic CO2 into the atmosphere. CCS technologies are expected to account for the 20% of the CO2 reduction by 2050. Geophysical, ground deformation and geochemical monitoring have been carried out to detect potential leakage, and, in the event that this occurs, identify and quantify it. This monitoring needs to be developed prior, during and after the injection stage. For a correct interpretation and quantification of the leakage, it is essential to establish a pre-injection characterization (baseline) of the area affected by the CO2 storage at reservoir level as well as at shallow depth, surface and atmosphere, via soil gas measurements. Therefore, the methodological approach is important because it can affect the spatial and temporal variability of this flux and even jeopardize the total value of CO2 in a given area.

In this sense, measurements of CO2 flux were done using portable infrared analyzers (i.e., accumulation chambers) adapted to monitoring the geological storage of CO2, and other measurements of trace gases, e.g. radon isotopes and remote sensing imagery were tested in the natural analogue of Campo de Calatrava (Ciudad Real, Spain) with the aim to apply in CO2 leakage detection; thus, observing a high correlation between CO2 and radon (r=0,858) and detecting some vegetation indices that may be successfully applied for the leakage detection.

 

Keywords: 
monitoring, CO2 capture and storage, radon, natural analogues, Remote Sensing