Geothermal energy extraction in CO2 rich basin using abandoned horizontal wells

Sun, Fengrui; Yao, Yuedong; Li, Guozhen; Li, Xiangfang

doi:10.1016/j.energy.2018.06.084

Cited by 131 publications

(19 citation statements)

References 76 publications

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“…The temperature sensor, electronically controlled fuel injector, and exhaust gas analyzer are controlled by electronic control unit, and they operate interactively to adjust the amount of fuel depending on the time and to stabilize the combustion temperatures and thus the formation of NO x emissions. A comprehensive computational performance investigation has been carried out to investigate the variations of performance specifications depending on the variations of engine design and operating parameters by a finite‐time thermodynamics modeling . In the simulation, the performance parameters at the standard condition are determined as in Table .…”

Section: Theoretical Modelmentioning

confidence: 99%

“…A comprehensive computational performance investigation has been carried out to investigate the variations of performance specifications depending on the variations of engine design and operating parameters by a finite-time thermodynamics modeling. [68][69][70][71] In the simulation, the performance parameters at the standard condition are determined as in Table 1. The EFP (P ef ) and EFPD (P d ) are obtained as below 29,30,[72][73][74][75][76][77][78][79][80][81][82][83][84][85] :…”

Section: Theoretical Modelmentioning

confidence: 99%

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Performance analysis of a novel eco‐friendly internal combustion engine cycle

Gonca

Şahi̇n

2019

Int J Energy Res

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Summary The Miller cycle applications have been performed to diminish NOx released from internal combustion engines (ICEs), in recent years. The Miller cycle provides decreased compression ratio and enhanced expansion ratio; hereby, maximum in‐cylinder combustion temperatures diminish, and NOx formations slow down remarkably. Another less‐known method is Takemura cycle application, which provides heat addition into engine cylinder at constant combustion temperatures. In this study, a novel cycle including the Miller cycle and the Takemura cycle has been developed by using novel numerical models and computing methods with seven processes and a novel way to decrease NOx emissions at higher levels compared with the single applications of known cycles. A comprehensive performance examination of the proposed cycle engine in terms of performance characteristics such as effective power (EFP), effective power density (EFPD), exergy destruction (X), exergy efficiency (ε), and ecological coefficient of performance (ECOP) has been conducted. The impacts of engine operating and design parameters on the performance characteristics have been computationally examined. Furthermore, irreversibilities depending on incomplete combustion loss (INCL), exhaust output loss (EXOL), heat transfer loss (HTRL), and friction loss (FRL) have been considered in the performance simulations. The minimum exergy destruction and maximum performance specifications have been observed with 30 of the compression ratio. Maximum effective power values have been obtained at range between 1 and 1.2 of equivalence ratio. The optimum range for exergy efficiency is between 0.8 and 1 of equivalence ratio. Increasing engine speed has provided enhancing effective power. However, an optimum range has been found for the exergy efficiency that is interval of 3000 to 4000 rpm. The results obtained can be assessed by researchers studying on modeling of the engine systems and designs.

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Section: Theoretical Modelmentioning

confidence: 99%

Section: Theoretical Modelmentioning

confidence: 99%

Performance analysis of a novel eco‐friendly internal combustion engine cycle

Gonca

Şahi̇n

2019

Int J Energy Res

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“…Fengrui et al observed that (a) the standard of choosing parameters for measuring the rate of geothermal production is dependent on whether or not the parameter can reflect the heat transfer or fluid temperature rise and (b) taking multiple factors such as mass injection and injection pressure, a model is developed for simulating CO 2 flow in the descending, horizontal, and ascending sections of a geothermal well. Finally, they suggested a series of works on establishing a simulation model to describe the heat mass transfer process of CO 2 in abandoned horizontal wellbores.…”

Section: Introductionmentioning

confidence: 99%

Analysis of effective thermal conductivity stability of geothermal heat exchanger according to ambient environmental conditions

You

Lee

2019

Int J Energy Res

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Summary At present, geothermal energy is a promising research area but still has numerous areas to be explored. The thermal performance verification of U‐shaped closed geothermal heat exchange was proposed to improve the effective thermal conductivity value applying initial ignoring time (IIT). To verify the thermal performance of the underground heat exchanger in the rock layer according to the surrounding environment and groundwater conditions, verifications were conducted for the amount of circulating water, amount of heat input, and groundwater conditions. The circulating fluid flow rate of the system, supply of water into the ground, and influence of the change of supplied heat source were analyzed. The effective heat conduction characteristics were analyzed using the linear heat source model and initial exclusion time. Therefore, in the thermal response test, the main error occurs according to the determined initial removal time, and the reliability of the effective thermal conductivity value is increased by applying IIT to reduce this error.

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“…Moreover, the flow and heat transfer characteristics of superheated steam in concentric dual‐tubing wells were analyzed . Sun et al studied the flow of supercritical CO 2 coupled with superheated water in horizontal wellbores. As for the formation heating radius, Marx and Langenheim firstly presented an analytical mathematical model for predicting heating area of steam injection with vertical well based on the energy conservation principle.…”

Section: Introductionmentioning

confidence: 99%

An integrated model for productivity prediction of cyclic steam stimulation with horizontal well

Fan

et al. 2019

Energy Science & Engineering

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As the accurate productivity prediction of cyclic steam stimulation with horizontal well (CSSHW) is essential for its effective utilization in heavy oil reservoirs, a novel integrated model for predicting productivity of CSSHW was proposed in this paper. Firstly, governing equations to predict thermophysical parameters of injected steam in the horizontal well were established. On the basis, the heating model for radius of hot fluid zone and steam zone were derived respectively according to a more realistic temperature distribution of formation. Then, coupled with heating model, the productivity prediction model was established according to the principle of equivalent percolation resistance. Then, comparisons have been made among the new model results, CMG STARS results, and measured data to verify its accuracy. Finally, after the new proposed model is validated, the effects of steam quality and injection rate on heating radius and oil production were analyzed in detail. The results indicate that the result of new model is in good agreement with that of CMG STARS and measured data, verifying the correctness of the model. In addition, the radius of hot fluid zone and steam zone both decreases with horizontal well length because of the heat losses as the steam flows along the horizontal wellbore. Influential factor analysis shows that high steam quality and steam injection rate can improve heating radius and cumulative oil production.

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Geothermal energy extraction in CO2 rich basin using abandoned horizontal wells

Cited by 131 publications

References 76 publications

Performance analysis of a novel eco‐friendly internal combustion engine cycle

Performance analysis of a novel eco‐friendly internal combustion engine cycle

Analysis of effective thermal conductivity stability of geothermal heat exchanger according to ambient environmental conditions

An integrated model for productivity prediction of cyclic steam stimulation with horizontal well

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