Evaluating the performance of soil flux surveys and inversion methods for quantification of CO2 leakage  

Authors / CoAuthors

Schroder, I. | Wilson, P. | Feitz, A. | Ennis-King, J.

Abstract

Understanding the near surface migration patterns and rates of efflux of CO₂ is important for developing effective monitoring and verification programs for the geological storage of CO₂. Soil flux surveys are a well-established technique for characterising surface CO₂ emission sources from controlled release sites, CO₂storage sites or natural CO₂seeps. The performance of four interpolation methods; arithmetic mean (AM), two minimum variance unbiased estimators (MVUE), and a newly developed geostatistical cubic surface were evaluated using 21 soil flux surveys conducted over two controlled release experiments in 2012 and 2013, at the Ginninderra controlled release facility, Australia. Data was binned to approximate a regular sampling grid for improved performance of the whole-of-field AM and MVUE averaging techniques. The AM and MVUE methods were highly sensitive to deviations in the statistical distribution of the data, and performed inconsistently across the two experiments. These two methods proved ill-suited for application to CO₂ leak quantification due to their inflexible sampling and distribution requirements. The cubic technique provided the best net emission estimates across both experiments, and when applied at different bin sizes, estimating the true release rate to within 20% for the 2012 experiment and 45% below the release rate for the 2013 experiment. The cubic method is well-suited for CO₂ leak quantification because it is not limited by assumptions of the data’s spatial or statistical distribution. Net H₂O emissions of 29 kg/d were observed coincident with the high CO₂ flux zones in the field. The interpolation methods were applied with similar results on soil flux surveys taken from a natural seepage site in Qinghai, China. Gravity currents appear to describe the observed soil flux and soil gas behavior at Ginninderra, i.e. the observed lateral migration of CO₂in the subsurface. Subsurface migration was also strongly influenced by the relative depth of the groundwater. Thus the low water table and greater vadose zone in the 2013 experiment is suspected to facilitate greater lateral CO₂ migration and explain the poor closure of the CO₂ balance. <b>Citation:</b> I.F. Schroder, P. Wilson, A.F. Feitz, J. Ennis-King, <i>Evaluating the Performance of Soil Flux Surveys and Inversion Methods for Quantification of CO2 Leakage</i>, Energy Procedia, Volume 114, 2017, Pages 3679-3694, ISSN 1876-6102, https://doi.org/10.1016/j.egypro.2017.03.1499.

Product Type

document

eCat Id

90000

Contact for the resource

Keywords

theme.ANZRC Fields of Research.rdf

• EARTH SCIENCES

• Carbon Dioxide - CO2

• emissions

• flux

• monitoring

• interpolation

• quantification

• controlled release

• Published_External

Publication Date

2016-01-01T00:00:00

Creation Date

Security Constraints

Australian Government Security ClassificationSystem    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Access - license

Use - license

Status

completed

Purpose

Journal article communicating science conducted monitoring for CCS

Maintenance Information

asNeeded

Topic Category

climatologyMeteorologyAtmosphere

Series Information

Energy Procedia Volume 114, July 2017 3679-3694

Lineage

prepared for GHGT13 by Ivan Schroder (coauthor Andrew Feitz) using data acquired from the Ginninderra controlled release facility in partnership with the CO2CRC (and collaborators within).

Parent Information

Extents

[-54.75, -9.2402, 112.92, 159.11]

Reference System

Spatial Resolution

Service Information

Associations

Downloads and Links

Link to Journal  

Source Information

Source data not available.