Impact of Geological Heterogeneity on Early-stage CO2 Plume Migration

Ashraf, Muhammad; Lie, Knut–Andreas; Nilsen, Halvor Møll; Skorstad, A.

doi:10.3997/2214-4609.20145012

Cited by 2 publications

(3 citation statements)

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“…Broadly speaking, studies have assessed parameter sensitivity on trapping mechanisms, plume migration, and risk of leakage. More specifically, studies have measured model responses such as moment of inertia of the CO 2 plume (Sarkarfarshi et al, 2014); pressure (Ashraf et al, 2013;Birkholzer et al, 2009); boundary fluxes (Ashraf et al, 2010); mass of CO 2 in mobile, residual, or other phases (Ashraf et al, 2013;Han et al, 2011;Flett et al, 2007); distance of upslope CO 2 plume migration (Manceau and Rohmer, 2014;Gasda et al, 2012Gasda et al, , 2013; connected CO 2 volumes (Ashraf et al, 2010); and structural trapping volumes (Nilsen et al, 2012;Gasda et al, 2013). Various geomodels have been used, including synthetic models intended to represent realistic storage sites (e.g., a 2D box model (Han et al, 2011), a stratified model (Birkholzer et al, 2009), multiple plausible realizations of shallow-marine reservoirs (Ashraf et al, 2010), a dipping box model with a surface topography containing buried beach or offshore sand ridges combined with four different fault patterns (Nilsen et al, 2012)), as well as models of real sandstone formations (e.g., the Paris basin in France (Manceau and Rohmer, 2014), the Southern San Joaquin Valley in California, USA (Birkholzer et al, 2011)).…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

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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“…Along with good petrophysical properties, the other parameters that dictate how CO 2 will migrate and trap within the reservoirs are sedimentological heterogeneity 80 , 106 , 107 . The presence of small-scale heterogeneity in the form of lithological and facies variability is very important in the CO 2 storage and trapping as they have significant impact on fluid saturation and relative permeability 106 , 108 – 113 . The Upper Bokabil Sandstone unit shows heterogeneity in the lamina scale as well as in the lithofacies scale 53 (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…12 ) will create capillary equilibrium which might lead to trapping of CO 2 across the capillary pressure boundary 106 , 114 , 115 . Ashraf showed that the mud drapes within sandstone facies act as barriers for CO 2 plume migration 108 .…”

Section: Discussionmentioning

confidence: 99%

Sedimentological and petrophysical characterization of the Bokabil Formation in the Surma Basin for CO2 storage capacity estimation

Hossain,

Rahman,

Shekhar

2024

Sci Rep

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Large-scale geological sequestration of CO2 is one of the most effective strategies to limit global warming to below 2 °C, as recommended by the Intergovernmental Panel on Climate Change (IPCC). Therefore, identifying and characterizing high-quality storage units is crucial. The Surma Basin, with its four-way dip closed structures, high-quality reservoirs, and thick regional cap rocks, is an ideal location for CO2 storage. This study focuses on the Bokabil Formation, the most prominent reservoir unit in the Surma Basin. Detailed petrographic, petrophysical, XRD, and SEM analyses, along with mapping, have been conducted to evaluate the properties of the reservoir and cap rock within this formation. The Upper Bokabil Sandstone in the Surma Basin ranges from 270 to 350 m in thickness and consists of fine- to medium-grained subarkosic sandstones composed of 70–85% quartz and 5–12% feldspar, with good pore connectivity. Petrophysical analysis of data from four gas fields indicates that this unit has a total porosity of 21–27.4% and a low shale volume of 15–27%. Cross plots and outcrop observations suggest that most of the shales are laminated within the reservoir. The regional cap rock, known as the Upper Marine Shale (UMS), ranges in thickness from 40 to 190 m and contains 10–40 nm nano-type pores. A higher proportion of ductile materials with a significant percentage of quartz in the UMS indicates higher capillary entry pressures, enhancing its capacity to hold CO2. Using the CSLF method with a 6% cut-off of the available pore volume, it is estimated that 103 Mt, 110 Mt, 205 Mt, and 164 Mt of CO2 can be effectively stored in the Sylhet, Kailashtila, Habiganj, and Fenchuganj structures, respectively. Due to the shallow depth of the storage unit and the thick cap rock, the southern Surma Basin is the optimal location for CO2 injection.

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Impact of Geological Heterogeneity on Early-stage CO2 Plume Migration

Abstract: Summary. In an effort to determine the influence of geological heterogeneity on CO 2 storage efficiency, we study injection and early-stage migration of CO 2 in 54 different realizations of a shallow-marine reservoir.

Cited by 2 publications

References 4 publications

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

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

Sedimentological and petrophysical characterization of the Bokabil Formation in the Surma Basin for CO2 storage capacity estimation

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