Assessment of Energy Production in the Deep Carbonate Geothermal Reservoir by Wellbore-Reservoir Integrated Fluid and Heat Transport Modeling

Li, Fengyu; Xu, Tianfu; Li, Shengtao; Feng, Bo; Jia, Xiaofeng; Feng, Guanhong; Zhu, Huixing; Jiang, Zhenjiao

doi:10.1155/2019/8573182

Cited by 9 publications

(10 citation statements)

References 40 publications

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“…Crooijmans et al (2016) considered the impact of heterogeneity on energy extraction for a low-temperature geothermal doublet system. Permeability and porosity heterogeneity greatly affected CO 2 migration (Xu et al, 2017;Wang et al, 2019) and the produced water temperature and heat recovery (Li et al, 2019). Pandey et al (2015) showed the influence of reservoir permeability heterogeneity during geothermal heat extraction.…”

Section: Parametersmentioning

confidence: 99%

Impact of permeability heterogeneity on geothermal battery energy storage

Panja

McLennan

Green

2021

Adv. Geo-Energy Res.

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In the emergence of new technologies to harness renewable energy, industrial-scale storage of heated water in a geothermal system is a promising technique. A porous, permeable medium, bounded by a poorly thermally conductive/convective overburden and underburden, can be used for transient subsurface thermal storage. The reservoir in this concept forms a geothermal battery. As a very simplified scenario, consider a single well injecting and producing hot water diurnally or seasonally. The source of the hot water could be solar-heated water, for example, or possibly even water heated from the excess regional electricity supply. For that situation, this study investigates the influence of spatial permeability heterogeneity on heat recovery, and the distributions of temperature and pressure inside the reservoir. Four heterogeneous models are created from lognormal distributions of permeability by varying the standard deviations while keeping the mean absolute permeability at 100 mD. The injection pressure experienced while pumping into a candidate formation is affected by heterogeneity; higher bottom hole pressure is required to inject water into a more heterogeneous reservoir. The spatial distribution of temperature is less affected by permeability heterogeneity. In the simulations carried out, 91% of the heat is recovered after the 30 th cycle of injection/production operation in all cases proving less impact of heterogeneity on heat recovery for fixed injection and production rates.

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Section: Parametersmentioning

confidence: 99%

Impact of permeability heterogeneity on geothermal battery energy storage

Panja

McLennan

Green

2021

Adv. Geo-Energy Res.

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“…(9)-( 11) formulas were applied universally to calculate the fluid inflow to the wellbottom and gas condensate mix-ture evacuation through the well PT. Model of the formulas was selected for nonadiabatic expansion of the fluid migra-tion according to a concept applied for natural gas migration with heat exchange via depth oil-and-gas pipelines [12], [13]. The authors added K a parameter taking into consideration the process deviations from adiabatic conditions.…”

Section: Development Of the Mathematical Modelmentioning

confidence: 99%

“…Hydraulic resistance within production tubing or within any other tubing of λ well is a function of Re number, temperature, and other standard parameters and design parameters [11]; hence, in the context of the research of nonisothermal lifting of hydrocarbon mixture, the working functional dependence λ (P, T, M, M q , D, k e ) has been developed and applied for equation (7). The dependence is based upon Colebrook-White equation and S. Borisov and I. Khodanovich studies [12] (instead of the abovementioned functional dependence λ (k e , Re, D)):…”

Section: Development Of the Mathematical Modelmentioning

confidence: 99%

“…However, they demonstrate tendencies and potential to compare the functions under study [14]. In addition to the modeling experiment with the use of mathematical tools (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), full-scale studies were carried out on the basis of Lanivske gas condensate deposit. In this context, wellhead temperatures of the produced gas fluid were measured for the period of 2006-2015.…”

Section: Figure 4 the Predicted Pressures Within The Productive Formation And A Wellhead Of Lanivske Gas Condensate Deposit For 50 Years:mentioning

confidence: 99%

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Modeling of the lifting of a heat transfer agent in a geothermal well of a gas condensate deposit

Fyk¹,

Biletsky²,

Abbood³

et al. 2020

Min. miner. depos.

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Purpose is to develop mathematical model of nonisothermal inflow and lifting of the recovered gaseous mixture (i.e. geothermal fluid) of a well taking into consideration dynamic coefficient of heat transfer and thermal diffusion coefficient; fluid expansion coefficient in terms of nonadiabatic process; effect of average integral environmental temperature on the heat transfer coefficient; changes in molar mass of the fluid during the well operation; and a process of the productive seam cooling during initial development stages (i.e. months-years). Methods of material and energy balance of fluid-heat flows within a productive formation and within a well as well as forecasting of geothermal fluid production; numerical methods of fluid thermal gas dynamics; Runge-Kutta 4 th order method; and Quazi-Newton method to solve nonlinear equations have been applied. Findings. It has been demonstrated that thermal gradient of rocks and thermal carrier-rock heat exchange vary depending upon operation modes of the formation and the well in terms of temperature effect, temperature difference in humidity, viscosity, compressibility, and other rock characteristics determining efficiency of thermal diffusion as well as coefficient of heat exchange between the fluid and rocks. Originality. The specified equations of thermal energy balance in terms of radial filtration and well product lifting have been developed. The equations are more preferable to compare with the current calculation technique, where a coefficient of fluid is expanded in a seam in the context of nonadiabatic process, and consideration of effect of average integral environment temperature of the heat transfer strength (the known methods takes into account geometric mean of the formation temperature). Actual changes in molar mass of the produced geothermal fluid during the whole period of the well operation (i.e. up to 50 years) are involved. Thermal gas dynamic model well inflow-lifting has been improved owing to the consideration of a transient process of the productive formation cooling during the initial stage of the geothermal fluid production (i.e. months-years). Practical implications. The developed mathematical model helps specify calculation of a well yield by 10-15%. To compare with the standard methods, the model makes it possible to perform 20-30% specification of heat output by a gas condensate well in terms of thermobaric intensification of the fluid production as well as in terms of binary techniques of fluidgeoheat generation.

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“…Here, we chose T2Well simulator to simultaneously calculate the flow in both the wellbore and in the reservoir; this simulator was developed by Pan and Oldenburg (2014) to solve the problem of nonisothermal flows in an integrated wellbore-reservoir system; it has been verified against an analytical solution of steady-state two-phase flow and field CO 2 production test data. In the recent years, T2Well has been widely applied for productivity forecasting of geothermal doublet systems (Feng et al., 2017; Li et al., 2019; Xu et al., 2017) and the interpretation of production tests in geothermal wells (Vasini et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Numerical evaluation of the performance of a single-well groundwater source heat pump system in Beijing, China

Feng

et al. 2019

Energy Exploration & Exploitation

Self Cite

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Shallow geothermal energy is stable and clean. Using a heat pump to produce groundwater and realize heating and cooling can effectively prevent haze and reduce energy consumption. To reduce engineering costs, many buildings in Beijing, China, plan to utilize single-well groundwater source heat pumps. Numerical modeling is an effective way to gain an understanding of thermal transport processes. However, wellbore-reservoir coupling and the uncertainty of productivity due to geological parameters make simulation difficult. A wellbore-reservoir-integrated fluid and heat transport model is defined by T2Well simulator to predict the productivity of a typical single-well system, with consideration of complex geological factors. The model is validated by the analytical model developed in Beijing, China. The fluid processes in the wellbore are described by 1 D non-Darcy flow, and the reservoir 3 D fluid and heat transport processes are calculated. Six crucial factors satisfying a random distribution are used, and for a single well that can supply heat for an area of 9000 m2, the output temperature during the heating season ranges from 11°C to 15°C.

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Assessment of Energy Production in the Deep Carbonate Geothermal Reservoir by Wellbore-Reservoir Integrated Fluid and Heat Transport Modeling

Cited by 9 publications

References 40 publications

Impact of permeability heterogeneity on geothermal battery energy storage

Impact of permeability heterogeneity on geothermal battery energy storage

Modeling of the lifting of a heat transfer agent in a geothermal well of a gas condensate deposit

Numerical evaluation of the performance of a single-well groundwater source heat pump system in Beijing, China

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