AMESH A mesh creating program for the integral finite differencemethod: A User's Manual

Haukwa, C.

doi:10.2172/892927

Cited by 14 publications

(5 citation statements)

References 2 publications

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“…The continuum equations for mass and energy balance were discretized in space according to Voronoi tessellation using the AMESH program (Haukwa 1998). By substituting appropriate volume and area averages into the discrete form of the governing equations, a system of first-order differential equations is obtained.…”

Section: Basic Theorymentioning

confidence: 99%

Model Simulations of the Hengill Area, Southwestern Iceland

Gunnarsson

Arnaldsson²,

Oddsdóttir

2010

Transp Porous Med

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The Hengill Area is an important energy source for Reykjavík and surrounding area, both for electricity and district space heating. Two production fields are located in the area: Nesjavellir and Hellisheiði. Two other potential production fields are believed to be in the area. We present a new conceptual model supported by numerical calculations for the entire Hengill Area. Calculations were performed using the TOUGH2 software suite. The model contains nine layers consisting of 966 elements each (total of 8,964). Geological survey data, down-hole measurements, and production histories from the fields have been used to calibrate the model. The model has been used to predict how production will affect the geothermal fields. Information gathered throughout the production history, such as drawdown and changes in enthalpy, have been used to re-evaluate the size and the production capacity of the production fields. Different production scenarios, such as different energy throughput, have been simulated. The model simulations have also been used to estimate the capacity of potential future production fields.

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Section: Basic Theorymentioning

confidence: 99%

Model Simulations of the Hengill Area, Southwestern Iceland

Gunnarsson

Arnaldsson²,

Oddsdóttir

2010

Transp Porous Med

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“…2. The preprocessor AMESH (Haukwa, 1998) was used to generate the computational grid. The model has 424 elements, a sufficiently small number that allows for a relatively efficient inverse modeling study.…”

Section: Grid Generationmentioning

confidence: 99%

Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia

Kiryukhin

Asaulova²,

Finsterle

2008

Geothermics

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A three-dimensional numerical model of the Pauzhetsky geothermal field has been developed based on a conceptual hydrogeological model of the system. It extends over a 13.6-km 2 area and includes three layers: (1) a base layer with inflow; (2) a geothermal reservoir; and (3) an upper layer with discharge and recharge/infiltration areas. Using the computer program iTOUGH2 (Finsterle, 2004), the model is calibrated to a total of 13,675 calibration points, combining natural-state and 1960-2006 exploitation data. The principal model parameters identified and estimated by inverse modeling include the fracture permeability and fracture porosity of the geothermal reservoir, the initial natural upflow rate, the base-layer porosity, and the permeabilities of the infiltration zones. Heat and mass balances derived from the calibrated model helped identify the sources of the geothermal reserves in the field. With the addition of five makeup wells, simulation forecasts for the 2007-2032 period predict a sustainable average steam production of 29 kg/s, which is sufficient to maintain the generation of 6.8 MWe at the Pauzhetsky power plant.

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“…). The complete domain is discretized into 1 467 568 grid blocks by Voronoi tesselation . A total of 35 individual model domains are produced with spatially variable and equally probable permeability distributions in the composite injection zone.…”

Section: Methodsmentioning

confidence: 99%

A probabilistic assessment of geomechanical reservoir integrity during CO₂ sequestration in flood basalt formations

Jayne

Pollyea

2019

Greenhouse Gases

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Recent field experiments in Iceland and Washington State (USA) show that basalt formations may be favorable targets for carbon capture and sequestration (CCS) because CO2 mineralization reactions proceed rapidly. These results imply that there is tremendous opportunity for implementing CCS in large igneous provinces. However, the magnitude of this opportunity comprises commensurate levels of uncertainty because basalt reservoirs are characterized by highly heterogeneous, fracture‐controlled hydraulic properties. This geologic uncertainty is propagated as parametric uncertainty in quantitative risk models, thus limiting the efficacy of models to predict CCS performance attributes, such as reservoir integrity and storage potential. To overcome these limitations, this study presents a stochastic approach for quantifying the geomechanical performance attributes of CCS operations in a highly heterogeneous basalt reservoir. We utilize geostatistical reservoir characterization to develop an ensemble of equally probable permeability distributions in a flood basalt reservoir with characteristics of the Wallula Basalt Pilot Project. We then simulate industrial‐scale CO2 injections within the ensemble and calculate the mean and variance of fluid pressure over a 1‐year injection period. These calculations are combined with the state of stress in southeast Washington State to constrain the spatial extent at which shear failure, fracture initiation, and borehole breakdown may occur. Results from this study show that (i) permeability uncertainty alone causes injection pressure to vary over 25 MPa, (ii) shear failure is likely to occur at 7 times greater distances from the injection than the CO2 migrates, and (iii) joint initiation pressures are localized within the volume comprising the CO2 plume. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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AMESH A mesh creating program for the integral finite differencemethod: A User's Manual

Cited by 14 publications

References 2 publications

Model Simulations of the Hengill Area, Southwestern Iceland

Model Simulations of the Hengill Area, Southwestern Iceland

Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia

A probabilistic assessment of geomechanical reservoir integrity during CO₂ sequestration in flood basalt formations

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AMESH A mesh creating program for the integral finite differencemethod: A User's Manual

Cited by 14 publications

References 2 publications

Model Simulations of the Hengill Area, Southwestern Iceland

Model Simulations of the Hengill Area, Southwestern Iceland

Inverse modeling and forecasting for the exploitation of the Pauzhetsky geothermal field, Kamchatka, Russia

A probabilistic assessment of geomechanical reservoir integrity during CO2 sequestration in flood basalt formations

Contact Info

Product

Resources

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A probabilistic assessment of geomechanical reservoir integrity during CO₂ sequestration in flood basalt formations