A General Method for Subsurface CO2 Storage Capacity Calculations

2008 ◽  
Author(s):  
Lubertus van der Meer ◽  
P.J.P. Egberts
Keyword(s):  
Storage Capacity ◽  
Co2 Storage ◽  
General Method

scholarly journals The impact of boundary conditions on CO2 storage capacity estimation in aquifers

2011 ◽  
Vol 4 ◽  
pp. 4828-4834 ◽  
Author(s):  
D.J. Smith ◽  
D.J. Noy ◽  
S. Holloway ◽  
R.A. Chadwick
Keyword(s):  
Boundary Conditions ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Capacity Estimation ◽  
The Impact

scholarly journals Numerical Simulation and Optimization of CO2 Sequestration in Saline Aquifers

2012 ◽  
Author(s):  
Zheming Zhang ◽  
Ramesh Agarwal
Keyword(s):  
Numerical Simulation ◽  
Co2 Sequestration ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Injection Well ◽  
Co2 Injection ◽  
Great Promise ◽  
Saline Aquifer ◽  
Simulation And Optimization ◽  
Co2 Plume

With recent concerns on CO2 emissions from coal fired electricity generation plants; there has been major emphasis on the development of safe and economical Carbon Dioxide Capture and Sequestration (CCS) technology worldwide. Saline reservoirs are attractive geological sites for CO2 sequestration because of their huge capacity for sequestration. Over the last decade, numerical simulation codes have been developed in U.S, Europe and Japan to determine a priori the CO2 storage capacity of a saline aquifer and provide risk assessment with reasonable confidence before the actual deployment of CO2 sequestration can proceed with enormous investment. In U.S, TOUGH2 numerical simulator has been widely used for this purpose. However at present it does not have the capability to determine optimal parameters such as injection rate, injection pressure, injection depth for vertical and horizontal wells etc. for optimization of the CO2 storage capacity and for minimizing the leakage potential by confining the plume migration. This paper describes the development of a “Genetic Algorithm (GA)” based optimizer for TOUGH2 that can be used by the industry with good confidence to optimize the CO2 storage capacity in a saline aquifer of interest. This new code including the TOUGH2 and the GA optimizer is designated as “GATOUGH2”. It has been validated by conducting simulations of three widely used benchmark problems by the CCS researchers worldwide: (a) Study of CO2 plume evolution and leakage through an abandoned well, (b) Study of enhanced CH4 recovery in combination with CO2 storage in depleted gas reservoirs, and (c) Study of CO2 injection into a heterogeneous geological formation. Our results of these simulations are in excellent agreement with those of other researchers obtained with different codes. The validated code has been employed to optimize the proposed water-alternating-gas (WAG) injection scheme for (a) a vertical CO2 injection well and (b) a horizontal CO2 injection well, for optimizing the CO2 sequestration capacity of an aquifer. These optimized calculations are compared with the brute force nearly optimized results obtained by performing a large number of calculations. These comparisons demonstrate the significant efficiency and accuracy of GATOUGH2 as an optimizer for TOUGH2. This capability holds a great promise in studying a host of other problems in CO2 sequestration such as how to optimally accelerate the capillary trapping, accelerate the dissolution of CO2 in water or brine, and immobilize the CO2 plume.

CO2-Storage Capacity--Combining Geology, Engineering and Economics

2014 ◽  
Vol 6 (01) ◽  
pp. 15-17 ◽  
Author(s):  
W. G. Allinson ◽  
Yildiray Cinar ◽  
Peter R. Neal ◽  
John Kaldi ◽  
Lincoln Paterson
Keyword(s):  
Storage Capacity ◽  
Co2 Storage

scholarly journals Characterization and Estimation of CO2 Storage Capacity for the Most Prospective Aquifers in Sweden

2016 ◽  
Vol 86 ◽  
pp. 352-360 ◽  
Author(s):  
G.M. Mortensen ◽  
P.E.S. Bergmo ◽  
B.U. Emmel
Keyword(s):  
Storage Capacity ◽  
Co2 Storage

scholarly journals A method for quick assessment of CO2 storage capacity in closed and semi-closed saline formations

2008 ◽  
Vol 2 (4) ◽  
pp. 626-639 ◽  
Author(s):  
Quanlin Zhou ◽  
Jens T. Birkholzer ◽  
Chin-Fu Tsang ◽  
Jonny Rutqvist
Keyword(s):  
Storage Capacity ◽  
Co2 Storage ◽  
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