2018
DOI: 10.1177/0144598718777105
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Modeling and prediction for gas production during coalbed methane drainage based on two indirect reservoir parameters

Abstract: Two indirect parameters influencing coalbed methane (CBM) drainage performances are proposed in this paper, which are effective desorption radius and difference between reservoir pressure and critical desorption pressure (DRPCDP). Variations of the two parameters during CBM drainage are investigated, which shows that they have a linear relationship. By using formula derivations, a theoretical model for gas production prediction is built. It suggests that the cumulative gas production is a product of square of … Show more

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Cited by 2 publications
(1 citation statement)
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References 38 publications
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“…The production of CBM has a process of gas and water complex flow (Li et al., 2017). First, the coal reservoir pressure should be reduced below the critical desorption pressure by extracting the formation water, then CBM desorbs and diffuses from matrix pores to fractures/cleats with the decrease of concentration and pressure, and finally flows into the wellbore through the fracture system (Pan and Da, 2015; Zou et al., 2018). Normally, high rank coals have particular performance of low porosity, low permeability, low reservoir pressure, and high gas saturation (Cai et al., 2018; Singh et al., 2015; Yao et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…The production of CBM has a process of gas and water complex flow (Li et al., 2017). First, the coal reservoir pressure should be reduced below the critical desorption pressure by extracting the formation water, then CBM desorbs and diffuses from matrix pores to fractures/cleats with the decrease of concentration and pressure, and finally flows into the wellbore through the fracture system (Pan and Da, 2015; Zou et al., 2018). Normally, high rank coals have particular performance of low porosity, low permeability, low reservoir pressure, and high gas saturation (Cai et al., 2018; Singh et al., 2015; Yao et al., 2019).…”
Section: Introductionmentioning
confidence: 99%