Influence of sorption time in CO 2 -ECBM process in Indian coals using coupled numerical simulation

Vishal, Vikram; Singh, T. N.; Ranjith, P.G.

doi:10.1016/j.fuel.2014.08.009

Cited by 142 publications

(45 citation statements)

References 33 publications

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“…The effects of pore pressure, effective stress, fluid saturation and adsorption/sorption properties on the permeability of coal have been recognized and documented [5][6][7][8]. The relative permeability of gas and water in different rank coals selected from south Qinshui Basin has been investigated under various gas/water saturations [9].…”

Section: Introductionmentioning

confidence: 99%

Stress and Damage Induced Gas Flow Pattern and Permeability Variation of Coal from Songzao Coalfield in Southwest China

Cao

2016

Energies

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Abstract:The permeability of coal is a critical parameter in estimating the performance of coal reservoirs. Darcy's law describes the flow pattern that the permeability has a linear relationship with the flow velocity. However, the stress induced deformation and damage can significantly influence the gas flow pattern and permeability of coal. Coals from Songzao coalfield in Chongqing, southwest China were collected for the study. The gas flow velocities under different injection gas pressures and effective stresses in the intact coal and damaged coal were tested using helium, incorporating the role of gas flow pattern on the permeability of coal. The relationships between the flow velocity and square of gas pressure gradient were discussed, which can help us to investigate the transformation conditions of gas linear flow and gas nonlinear flow in the coal. The results showed that the gas flow in the intact coal existed pseudo-initial flow rate under low effective stress. The low-velocity non-Darcy gas flow gradually occurred and the start-up pressure gradient increased in the coal as the effective stress increased. The gas flow rate in the damaged coal increased nonlinearly as the square of pressure gradient increased under low effective stress. The instability of gas flow caused by high ratio of injection gas pressure over effective stress in the damaged coal contributed to the increase of the gas flow rate. As the effective stress increased, the increase of gas flow rate in coal turned to be linear. The mechanisms of the phenomena were explored according to the experimental results. The permeability of coal was corrected based on the relationships between the flow velocity and square of gas pressure gradient, which showed advantages in accurately estimating the performance of coal reservoirs.

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Section: Introductionmentioning

confidence: 99%

Stress and Damage Induced Gas Flow Pattern and Permeability Variation of Coal from Songzao Coalfield in Southwest China

Cao

2016

Energies

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“…The diffusion coefficient is recognized as a critical parameter for evaluating the methane diffusion properties in coal matrices (Charri ere et al, 2010;Jin et al, 2015;Lito et al, 2015;Lu et al, 2015a;Walker and Mahajan, 1978;Xu et al, 2015). In our research, the diffusion coefficient of pulverized coal was also compared with that of unpulverized coal.…”

Section: Experimental Comparative Analysismentioning

confidence: 76%

“…The most common fluid model for describing the two gas flow types is the dual porosity media model, which was first proposed by Barenblatt (Barenblatt et al, 1960). In the field of CBM exploitation, the widely used dual porosity media model is a simplified model derived from Barenblatt's model (Lim and Aziz, 1995;Perera et al, 2012;Vishal et al, 2013Vishal et al, , 2015Warren and Root, 1963). In the field of CBM exploitation, the widely used dual porosity media model is a simplified model derived from Barenblatt's model.…”

Section: Particle Size Distribution Of Pulverized Coalmentioning

confidence: 99%

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Pulverization characteristics of coal from a strong outburst-prone coal seam and their impact on gas desorption and diffusion properties

Guo

Wang

Ren

et al. 2016

Journal of Natural Gas Science and Engineering

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“…The content of geostatistics is defined and extended by key words such as numerical evaluation, spatial distribution, stochastic modeling, and reservoir characterization (Deutsch 2002;Sarkar et al 2012;Vishal et al 2013Vishal et al , 2015. Geostatistics provides stochastic approaches to integrate data at different scales and quantify the uncertainty at unsampled locations, and hence can provide meaningful results for model building and quantitatively assess uncertainty of risk management (Yarus and Chambers 2006).…”

Section: Introductionmentioning

confidence: 99%

Geostatistical modeling for fine reservoir description of Wei2 block of Weicheng oilfield, Dongpu depression, China

et al. 2015

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The Wei2 block of Weicheng oilfield is characterized by complicated structure mainly caused by high degree of fault development. Multiple reservoir types are found in this block and the reservoir heterogeneity is severe. The oil and gas reservoirs have already stepped into the stagnant stage of a great water-cut degree together with a rapid production decline rate. Thereby, both stabilizing the oil and gas production and optimizing adjustment for further exploitation make it urgent for geomodelers to build a useful model to predict the inter-well parameters and the distribution of the remaining oil and gas. A three-dimensional geological model established with the help of stochastic modeling technique may provide a perfect window and carrier for fine structure interpretation and reservoir heterogeneity description, compared with a traditional two-dimensional model. Hence, based on stratigraphical layering points, significant surfaces and fault points as well seismic interpretation, an integrated structure model is developed. Using the truncated Gaussian simulation and taking the existing geological maps as references, the sedimentary microfacies model was successfully constructed. Through the use of sequential Gaussian simulation method and the facies-controlled modeling method, the reservoir physical properties are populated. Meanwhile, the comparison between facies-controlled and non-facies-controlled property models indicates that the former is more loyal to previous researching and the representation of heterogeneity is ideal. Finally, the ideas of sample density and reserves fitting are proposed to evaluate the practicability and accuracy of the property models.

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Influence of sorption time in CO 2 -ECBM process in Indian coals using coupled numerical simulation

Cited by 142 publications

References 33 publications

Stress and Damage Induced Gas Flow Pattern and Permeability Variation of Coal from Songzao Coalfield in Southwest China

Stress and Damage Induced Gas Flow Pattern and Permeability Variation of Coal from Songzao Coalfield in Southwest China

Pulverization characteristics of coal from a strong outburst-prone coal seam and their impact on gas desorption and diffusion properties

Geostatistical modeling for fine reservoir description of Wei2 block of Weicheng oilfield, Dongpu depression, China

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