Towards the early detection of CO2 leaks from carbon storage sites: modelling and measurement of reaction, diffusion and mass flow of CO2 and O2 in near-surface soils

dc.contributor.advisorNorman, Ann-Lise
dc.contributor.advisorLayzell, David
dc.contributor.authorAlam, Md Monzurul
dc.contributor.committeememberStrack, Maria
dc.contributor.committeememberYau, Andrew
dc.date2018-06-15
dc.date.accessioned2018-01-25T18:16:54Z
dc.date.available2018-01-25T18:16:54Z
dc.date.issued2018-01-18
dc.description.abstractCarbon capture and storage (CCS) of CO2 in geological reservoirs is being used to mitigate climate change and so a method and technology is needed for early leak detection. This thesis focuses on understanding the reaction, diffusion, and mass flows of O2 and CO2 in near surface soils with or without a CO2 leak. Two numerical models were developed to describe O2 and CO2 reactions, diffusion, mass flow and concentration gradients in the top 1 m of Alberta soils. The first model showed that under typical soil pH values, virtually all CO2 and O2 diffusion would occur in the gaseous phase, with less than 0.10% occurring in the aqueous phase, even for high soil water content. The second model calculated the contribution of diffusion and mass flow for CO2 and O2 in the gas phase of soils having a range of respiratory quotient (RQ=CO2 flux/O2 flux) values, with or without a CO2 leak. With RQ values ranging from 0.7 to 1.2, mass flow was predicted to account for -0.19% to 1.09% of CO2 flux to the soil surface, respectively. When simulated rates of CO2 leakage were set at 1 and 5 times the net biological flux from soils, the contribution of mass flow to total CO2 flux increased to about 3% and 13%, respectively. The model was also used to identify the Gas Concentration Ratio (GCR = [CO2] differential between bulk air and soil surface / [O2] differential between bulk air and soil surface) as a metric that could be used to identify soils impacted by a CO2 leak. Three gas analysis systems were built for use with a soil column to test the accuracy of the models and the potential value of a GCR measurement. The observed concentration gradients were found to be a good fit to the model predictions and the observed GCR measurements were able to differentiate between soils impacted by CO2 leaks as low as 2 to 3 times the normal biological flux rate of soils (ca. 2 μmolCO2/m2/s). This work supports the further development and use of a portable instrument to carry out GCR measurements at CCS sites.en_US
dc.identifier.citationAlam, M. M. (2018). Towards the early detection of CO2 leaks from carbon storage sites: modelling and measurement of reaction, diffusion and mass flow of CO2 and O2 in near-surface soils (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/5395
dc.identifier.urihttp://hdl.handle.net/1880/106314
dc.language.isoenen_US
dc.publisher.facultyScienceen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectcarbon capture and storageen_US
dc.subjectCO2 monitoring technologyen_US
dc.subjectO2/CO2 exchangeen_US
dc.subject.classificationEnvironmental Sciencesen_US
dc.subject.classificationPhysicsen_US
dc.titleTowards the early detection of CO2 leaks from carbon storage sites: modelling and measurement of reaction, diffusion and mass flow of CO2 and O2 in near-surface soilsen_US
dc.typedoctoral thesisen_US
thesis.degree.disciplinePhysics & Astronomyen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US
ucalgary.item.requestcopytrue
ucalgary.thesis.checklistI confirm that I have submitted all of the required forms to Faculty of Graduate Studies.en_US
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