Testing some Common Concepts in CO2 Storage

Espie, Tony; Woods, Andrew W.

doi:10.1016/j.egypro.2014.11.576

Cited by 5 publications

(8 citation statements)

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“…The aquifer dip (slope) also affects storage efficiency because buoyancy will drive the CO 2 plume updip, decreasing its largescale symmetry (see, e.g., Espie and Woods, 2014) and pulling the outer edge of the plume further upslope. Furthermore, the updip migration of the plume centroid is directly proportional with the buoyancy drive of the system, with a velocity of migration that increases proportional to the increase in aquifer slope (Gasda et al, 2006;Ide et al, 2007), which mathematically is the result of the gravity number containing the sinus of the dip angle included in its expression.…”

Section: Aquifer Characteristicsmentioning

confidence: 99%

“…The gravity number that controls the behavior of the injected CO 2 is directly proportional to absolute permeability, such that, in a homogeneous medium, the CO 2 will rise faster to the top of the aquifer and spread farther in the case of high permeability compared to a case of lower permeability. Also aquifer thickness affects storage efficiency, whereby better sweep efficiency, hence storage efficiency, is achieved for thin aquifers (Espie and Woods, 2014). The effects of absolute permeability and aquifer thickness are easier to understand through examination of the gravity number (relation (8)).…”

Section: Aquifer Characteristicsmentioning

confidence: 99%

“…Carbon dioxide dissolved in aquifer water at the CO 2 -water interface increases water density in the order of 1% and, depending on aquifer characteristics, sinks to the bottom of the aquifer due to gravitational instability and convective mixing if certain conditions are being met (see, e.g., Paterson, 2007 andKneafsey andPruess, 2010; and also the review paper by Emami-Meybodi et al, 2015, this issue). Solubility trapping is limited in the case of relatively thick CO 2 plumes in thin aquifers (h/H > O(0.01), where h and H are, respectively, plume and aquifer thicknesses; Espie and Woods, 2014). In addition, CO 2 solubility depends on in situ conditions, increasing with increasing pressure and decreasing with increasing temperature and salinity (see Span and Wagner, 1996;Enick and Klara, 1990;Spycher and Pruess, 2005), such that, depending on the in situ conditions of the storage site, it is likely insignificant during the injection phase of a CO 2 storage operation and only in the order of a few percent for periods of time relevant for CO 2 trapping at irreducible saturation and plume immobilization (Espie and Woods, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Solubility trapping is limited in the case of relatively thick CO 2 plumes in thin aquifers (h/H > O(0.01), where h and H are, respectively, plume and aquifer thicknesses; Espie and Woods, 2014). In addition, CO 2 solubility depends on in situ conditions, increasing with increasing pressure and decreasing with increasing temperature and salinity (see Span and Wagner, 1996;Enick and Klara, 1990;Spycher and Pruess, 2005), such that, depending on the in situ conditions of the storage site, it is likely insignificant during the injection phase of a CO 2 storage operation and only in the order of a few percent for periods of time relevant for CO 2 trapping at irreducible saturation and plume immobilization (Espie and Woods, 2014). Consequently, solubility trapping is not considered in this review.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Review of CO2 storage efficiency in deep saline aquifers

Bachu

2015

International Journal of Greenhouse Gas Control

379

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Section: Aquifer Characteristicsmentioning

confidence: 99%

Section: Aquifer Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Review of CO2 storage efficiency in deep saline aquifers

Bachu

2015

International Journal of Greenhouse Gas Control

379

224

View full text Add to dashboard Cite

“…Solubility and mineral trapping are not taken into account because they depend on in situ conditions and their contribution is likely insignificant during the injection phase of a CO 2 storage operation [38]. Effective CO 2 storage capacity at open conditions is [4][5][6]: …”

Section: The Usdoe Methodsmentioning

confidence: 99%

Algorithms for CO2 Storage Capacity Estimation: Review and Case Study

Cantucci

Buttinelli

Procesi

et al. 2016

Geologic Carbon Sequestration

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The estimation of CO 2 storage capacity in deep geologic formations is a pre-requisite for an efficient and safe application of Carbon Capture and Storage (CCS). The evaluation of storage resources for CO 2 geological sequestration is a challenging task and has been tackled using several static algorithms and dynamic methods, on a variety of scales ranging from country to site-specific. The purpose of this study is to present an up-to-date as well as an overall review of the storage capacity algorithms for oil and gas reservoirs, coal seams, and deep saline aquifers, including some worldwide estimation examples. Moreover, a practical application at local scale was also performed for an Italian deep reservoir located in the Po Plain (Northern Italy). The effective storage capacities were obtained applying the commonly established static methods, using both the theoretical and the geocellular volume of the reservoir. Although a conservative approach, this study demonstrates that the selected structure has favorable characteristics for CO 2 geological storage and has the capacity to host the most part of the Po Plain CO 2 emissions for several decades.

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Using simplified methods to explore the impact of parameter uncertainty on CO2 storage estimates with application to the Norwegian Continental Shelf

Allen

Nilsen

Lie

et al. 2018

International Journal of Greenhouse Gas Control

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We use simplified methods to investigate how uncertainty in geological models affects practical CO 2 storage capacities in large-scale saline aquifers. Our focus is on uncertainties in top-surface elevation, rock properties (porosity, permeability), fault transmissibility, and aquifer conditions (pressure and temperature). To quantify the statistical characteristics of static trapping capacity and dynamic estimates of plume migration, we create hundreds of possible realizations of the geomodel by applying Gaussian-type perturbations to the spatially correlated properties. Two different simplified methods are introduced to reduce the computational cost of simulating migration over thousands of years in all the model realizations, which each spans hundreds of kilometers. First, we use vertical-equilibrium (VE) modelling, which is orders of magnitude faster than solving the 3D flow equations. Second, we introduce a fast look-ahead algorithm that enables us to exit the VE simulation once a pseudo-steady state is reached. This algorithm uses a spill-point analysis of the top-surface's trapping structure to forecast how much CO 2 will eventually become trapped and how much will leak through open boundaries of the formation. This reduces the computational cost significantly, since we seldom need to simulate long-term migration past a few hundred or thousand years.

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Testing some Common Concepts in CO2 Storage

Cited by 5 publications

References 0 publications

Review of CO2 storage efficiency in deep saline aquifers

Review of CO2 storage efficiency in deep saline aquifers

Algorithms for CO2 Storage Capacity Estimation: Review and Case Study

Using simplified methods to explore the impact of parameter uncertainty on CO2 storage estimates with application to the Norwegian Continental Shelf

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