scholarly journals Numerical Simulation of the Influence of Geological CO2 Storage on the Hydrodynamic Field of a Reservoir

2020 ◽  
Author(s):  
Zhaoxu Mi ◽  
Fugang Wang ◽  
Zhijie Yang ◽  
Xufeng Li ◽  
Yujie Diao ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Co2 Storage ◽  
Geological Co2 Storage ◽  
Hydrodynamic Field

AN IMPROVED TOUGH2 MODULE TO SIMULATE GEOLOGICAL CO2 STORAGE IN SALINE AQUIFERS

2017 ◽  
Author(s):  
Babak Shabani ◽  
◽  
Javier Vilcaez
Keyword(s):  
Co2 Storage ◽  
Saline Aquifers ◽  
Geological Co2 Storage

Interfacial tension measurements and wettability evaluation for geological CO2 storage

2009 ◽  
Vol 32 (1) ◽  
pp. 98-109 ◽  
Author(s):  
C. Chalbaud ◽  
M. Robin ◽  
J-M Lombard ◽  
F. Martin ◽  
P. Egermann ◽  
...  
Keyword(s):  
Interfacial Tension ◽  
Co2 Storage ◽  
Geological Co2 Storage

scholarly journals Technical Work Processes for Qualifying Geological CO2 Storage

2013 ◽  
Vol 37 ◽  
pp. 4794-4803
Author(s):  
Gøril Tjetland ◽  
Hallvard Høydalsvik ◽  
Espen Erichsen
Keyword(s):  
Co2 Storage ◽  
Work Processes ◽  
Geological Co2 Storage ◽  
Technical Work

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.

scholarly journals Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1557
Author(s):  
Amine Tadjer ◽  
Reidar B. Bratvold
Keyword(s):  
Uncertainty Quantification ◽  
History Matching ◽  
Co2 Storage ◽  
Carbon Capture And Storage ◽  
Monitoring Program ◽  
Co2 Injection ◽  
Drinking Water Contamination ◽  
Model Inversion ◽  
Geological Co2 Storage ◽  
And Storage

Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreement’s climate target. To ensure that CCS is safe and successful, an efficient monitoring program that will prevent storage reservoir leakage and drinking water contamination in groundwater aquifers must be implemented. However, geologic CO2 sequestration (GCS) sites are not completely certain about the geological properties, which makes it difficult to predict the behavior of the injected gases, CO2 brine leakage rates through wellbores, and CO2 plume migration. Significant effort is required to observe how CO2 behaves in reservoirs. A key question is: Will the CO2 injection and storage behave as expected, and can we anticipate leakages? History matching of reservoir models can mitigate uncertainty towards a predictive strategy. It could prove challenging to develop a set of history matching models that preserve geological realism. A new Bayesian evidential learning (BEL) protocol for uncertainty quantification was released through literature, as an alternative to the model-space inversion in the history-matching approach. Consequently, an ensemble of previous geological models was developed using a prior distribution’s Monte Carlo simulation, followed by direct forecasting (DF) for joint uncertainty quantification. The goal of this work is to use prior models to identify a statistical relationship between data prediction, ensemble models, and data variables, without any explicit model inversion. The paper also introduces a new DF implementation using an ensemble smoother and shows that the new implementation can make the computation more robust than the standard method. The Utsira saline aquifer west of Norway is used to exemplify BEL’s ability to predict the CO2 mass and leakages and improve decision support regarding CO2 storage projects.

scholarly journals Effect of sedimentary heterogeneities in the sealing formation on predictive analysis of geological CO2 storage

2019 ◽  
Vol 82 ◽  
pp. 229-243 ◽  
Author(s):  
Michael U. Onoja ◽  
John D.O. Williams ◽  
Hayley Vosper ◽  
Seyed M. Shariatipour
Keyword(s):  
Co2 Storage ◽  
Predictive Analysis ◽  
Geological Co2 Storage

scholarly journals The potential for large-scale, subsurface geological CO2 storage in Denmark

1969 ◽  
Vol 17 ◽  
pp. 13-16 ◽  
Author(s):  
Peter Frykman ◽  
Lars Henrik Nielsen ◽  
Thomas Vangkilde-Pedersen
Keyword(s):  
Carbon Capture ◽  
Large Scale ◽  
Best Practice ◽  
Co2 Storage ◽  
Carbon Capture And Storage ◽  
The European Union ◽  
Geological Storage ◽  
Geological Co2 Storage ◽  
Research Programmes ◽  
Capture Techniques

Carbon capture and storage (CCS) is increasingly considered to be a tool that can significantly reduce the emission of CO2. It is viewed as a technology that can contribute to a substantial, global reduction of emitted CO2 within the timeframe that seems available for mitigating the effects of present and continued emission. In order to develop the CCS method the European Union (EU) has supported research programmes for more than a decade, which focus on capture techniques, transport and geological storage. The results of the numerous research projects on geological storage are summarised in a comprehensive best practice manual outlining guidelines for storage in saline aquifers (Chadwick et al. 2008). A detailed directive for geological storage is under implementation (European Commission 2009), and the EU has furthermore established a programme for supporting the development of more than ten large-scale demonstration plants throughout Europe. Geological investigations show that suitable storage sites are present in most European countries. In Denmark initial investigations conducted by the Geological Survey of Denmark and Greenland and private companies indicate that there is significant storage potential at several locations in the subsurface.

Quality of geological CO2 storage to avoid jeopardizing climate targets

2012 ◽  
Vol 114 (2) ◽  
pp. 245-260 ◽  
Author(s):  
Asbjørn Torvanger ◽  
Alv-Arne Grimstad ◽  
Erik Lindeberg ◽  
Nathan Rive ◽  
Kristin Rypdal ◽  
...  
Keyword(s):  
Co2 Storage ◽  
Geological Co2 Storage ◽  
Climate Targets
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