Effect of geological heterogeneities on reservoir storage capacity and migration of CO2 plume in a deep saline fractured carbonate aquifer

2021 ◽  
Vol 108 ◽  
pp. 103306
Author(s):  
M. Adeel Sohal ◽  
Yann Le Gallo ◽  
Pascal Audigane ◽  
J. Carlos de Dios ◽  
Sean P. Rigby
Keyword(s):  
Storage Capacity ◽  
Carbonate Aquifer ◽  
Reservoir Storage ◽  
Fractured Carbonate ◽  
Co2 Plume ◽  
And Migration

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.

A Multi-decadal Analysis of Reservoir Storage Change in Developing Regions

2021 ◽  
Keyword(s):  
Reservoir Operation ◽  
Storage Capacity ◽  
Assessment Tool ◽  
Severity Index ◽  
Drought Severity ◽  
Developing Regions ◽  
Reservoir Storage ◽  
Historical Observation ◽  
Reservoir Assessment ◽  
Storage Change

Abstract The limited amount of shared reservoir monitoring data around the world is insufficient to quantify the dynamic nature of reservoir operation with conventional ground-based methods. With the emergence of the Reservoir Assessment Tool (RAT) driven by a multitude of earth observing satellites and models, historical observation of reservoir operation spanning 35 years was made using open-source techniques. Trends in reservoir storage change were compared with trends of four critical hydrologic variables (precipitation, runoff, evaporation, and Palmer Drought Severity Index) to understand the potential role of natural drivers in altering reservoir operating pattern. It was found that the reservoirs in Africa were losing active storage at a rate of more than 1% per year of total storage capacity. Smaller reservoirs (with a capacity of less than 0.5 km3) in South-East Asia were found to experience a sharp gain in storage of 0.5% to 1% per year of total storage capacity. Storage change trends of large reservoirs with multiple years of residence time that are designed for strategic water supply needs and drought control were found to be less affected by precipitation trends and influenced more by drought and evaporation trends. Over Africa, most reservoir storage change trends were dictated by evaporation trends, while South Asian reservoirs appear to have their storage change influenced by drought and evaporation trends. Finally, findings suggest that operation of newer reservoirs are more sensitive to long-term hydrological trends and the regulated surface water variability that is controlled by older dams in the upstream.

The sources and budget for dissolved sulfate in a fractured carbonate aquifer, southern Sacramento Mountains, New Mexico, USA

2012 ◽  
Vol 27 (8) ◽  
pp. 1451-1462 ◽  
Author(s):  
Anna Szynkiewicz ◽  
B. Talon Newton ◽  
Stacy S. Timmons ◽  
David M. Borrok
Keyword(s):  
New Mexico ◽  
Carbonate Aquifer ◽  
Sacramento Mountains ◽  
Fractured Carbonate

Reservoir storage capacity with gamma inflows

1993 ◽  
Vol 146 ◽  
pp. 383-389 ◽  
Author(s):  
Huynh Ngoc Phien
Keyword(s):  
Storage Capacity ◽  
Reservoir Storage

Sensitivity Analysis of Hydroelectric Power Generation from Cascading Reservoirs

2012 ◽  
Vol 622-623 ◽  
pp. 1152-1156
Author(s):  
Tilahun Derib Asfaw ◽  
Khamaruzaman Wan Yusof ◽  
Ahmad Mustafa Hashim
Keyword(s):  
Power Generation ◽  
Sensitivity Analysis ◽  
Water Balance ◽  
Storage Capacity ◽  
Reverse Order ◽  
Hydroelectric Power ◽  
Reservoir Storage ◽  
Cascading Reservoirs ◽  
Relationship Of ◽  
Hydroelectric Power Generation

The cascading reservoirs in Perak, Malaysia, were used to test the sensitivity analysis of hydroelectric power generation during refill and deplete period of the reservoirs. The cascading scheme comprises four reservoirs namely Temenggor, Bersia, Kenering and Chenderoh. The test was conducted after the analysis of water balance and stage-storage relationship of each reservoir in the cascading scheme. The result showed that power generation from the smaller reservoir, Bersia, is more sensitive to the change of headrace level, while the larger storage capacity and rated head reservoir is the most sensitive to the change of release. Therefore, to maximize the power generation from the cascading reservoir, the refill operations should be ranked according to the increasing order of the reservoir storage capacity and a reverse order should be followed during deplete period.

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