Numerical modelling of coupled single-phase fluid flow and geomechanics in a fractured porous media

Gudala, Manojkumar; Govindarajan, Suresh Kumar

doi:10.1016/j.petrol.2020.107215

Cited by 14 publications

(3 citation statements)

References 33 publications

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“…COMSOL Multiphysics is a finite element simulator, and engineers utilize COMSOL Multiphysics to perform fully coupled numerical investigations for geothermal reservoirs. ,− In this work, we utilize heat transfer, poroelasticity, Darcy flow, solid mechanics, and thermal expansion modules integrated with COMSOL Multiphysics and develop a fully coupled and dynamic THM model for the geothermal reservoir with natural and hydraulic fractures (Figure ). Coupled interactions, presented as local variables in the component section, are embedded (i.e., eqs –).…”

Section: Geological Model For the Heat Extraction From Geothermal Res...mentioning

confidence: 99%

Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling

Gudala,

Tariq,

Govindarajan

et al. 2024

ACS Omega

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The effect of natural fractures, their orientation, and their interaction with hydraulic fractures on the extraction of heat and the extension of injection fluid are fully examined. A fully coupled and dynamic thermo-hydro-mechanical (THM) model is utilized to examine the behavior of a fractured geothermal reservoir with supercritical CO 2 as a geofluid. The interaction between natural fracture and hydraulic fracture, as well as the type and location of geofluids, influences the production temperature, thermal strain, mechanical strains, and effective stress in rock/fractures in the reservoir. A mathematical model is developed by using the fully connected neural network (FCN) model to establish a mathematical relationship between the reservoir parameters and the temperature. The response surface methodology is applied for qualitative numerical experimentation. It is found that the developed FCN model can be utilized to forecast the temporal variation of temperature in the production well to a desired level using FCN. Therefore, the numerical simulations developed with the FCN method can be useful tools to investigate the temperature evolution with higher accuracy.

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Section: Geological Model For the Heat Extraction From Geothermal Res...mentioning

confidence: 99%

Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling

Gudala,

Tariq,

Govindarajan

et al. 2024

ACS Omega

Self Cite

View full text Add to dashboard Cite

show abstract

“…COMSOL Multiphysics was utilized in the establishment of fully coupled and dynamic THM model for the geothermal reservoir with natural and hydraulic fractures (Figure 3). Engineers are using COMSOL for employing the fully coupled numerical investigations for geothermal reservoirs [60,69,70,71,72,73,74,75,76,77]. COMSOL Multiphysics integrated with heat transfer, poroelastic, Darcy flow, solid mechanics, thermal expansion modules.…”

Section: Implementation In Comsol Multi-physicsmentioning

confidence: 99%

Fully Connected Neural Network Model for Fractured Geothermal Reservoir using Supercritical-CO2 as Geofluid with THM Model

et al. 2022

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“…In literature [7,41,42,43,44,45,46,47,48,49], many studies have demonstrated that the finite element simulator, COMSOL Multi-physics, is robust and accurate to perform numerical investigations for coupled processes in porous media. Therefore, we use COMSOL Multi-physics to develop the fully coupled thermo-hydro (TH) model for the geothermal reservoir, which solves Eqs.…”

mentioning

confidence: 99%

Physics-Informed Machine Learning for Reservoir Management of Enhanced Geothermal Systems

Yan

Gudala

et al. 2022

SSRN Journal

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Numerical modelling of coupled single-phase fluid flow and geomechanics in a fractured porous media

Cited by 14 publications

References 33 publications

Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling

Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling

Fully Connected Neural Network Model for Fractured Geothermal Reservoir using Supercritical-CO2 as Geofluid with THM Model

Physics-Informed Machine Learning for Reservoir Management of Enhanced Geothermal Systems

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Numerical modelling of coupled single-phase fluid flow and geomechanics in a fractured porous media

Cited by 14 publications

References 33 publications

Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling

Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling

Fully Connected Neural Network Model for Fractured Geothermal Reservoir using Supercritical-CO2 as Geofluid with THM Model

Physics-Informed Machine Learning for Reservoir Management of Enhanced Geothermal Systems

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Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling

Fractured Geothermal Reservoir Using CO₂ as Geofluid: Numerical Analysis and Machine Learning Modeling