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A dynamic predictive permeability model in coal reservoirs: Effects of shrinkage behavior caused by water desorption

机译:煤储层动态预测渗透性模型:水解吸引起的收缩行为的影响

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摘要

Forecasting production in coal reservoirs accurately has been of growing interest in the industry. Permeability of coal reservoirs is a key parameter affecting coalbed methane production. In terms of current literature, the dynamic variation of coal permeability mainly depends on the effect of effective stress, coal matrix shrinkage caused by gas desorption and gas slippage during coalbed well drainage. The volume occupied by water in coal matrix was overlooked and its effect on matrix desorption-shrinkage-effect has not been investigated ever. In this work, on the basis of S-D stress-permeability model (Shi and Durucan, 2004), a dynamic prediction model of coal permeability fully considering the effect of effective stress, coal matrix shrinkage caused by gas desorption, gas slippage and coal matrix shrinkage caused by water desorption was established. The dynamic variation of permeability in coalbed methane development was revealed. The reliability of proposed model for permeability variation was successfully verified through the excellent agreements compared with experimental results. In addition, comparisons among the commonly utilized models and the new model indicated that the predicted permeability from the new model is overestimated than other models, such as P-M, S-D, and C-B models. The large differences between the new model and traditional models explicitly stress the necessity and significance of considering the matrix shrinkage effect caused by water desorption on coal permeability, which should not be neglected. Furthermore, based on the proposed permeability model, the influence of relative humidity in coal matrix was seriously paid attention. The four effects for the dynamic permeability of coalbed methane well were compared and analyzed. Results illustrated that relative humidity has an important effect on coal permeability performance, which will increase the dynamic permeability in coal reservoirs. Accordingly, the effect of coal matrix shrinkage caused by water desorption will increase the dynamic permeability in coal reservoirs. The gas slippage has a little effect on dynamic permeability in coal reservoirs.
机译:预测煤炭水库的生产准确地对该行业的兴趣日益增长。煤储层的渗透性是影响煤层生产的关键参数。在目前的文献方面,煤渗透性的动态变化主要取决于有效应力,煤层气在煤层井排水期间由气体解吸和气体滑动引起的煤基质收缩的影响。煤基质中水占据的体积被忽视,并且其对基质解吸 - 收缩效应的影响尚未研究。在这项工作中,基于SD应力渗透性模型(SHI和DURUCAN,2004),煤渗透的动态预测模型充分考虑了天然气解吸,气体滑动和煤基质收缩造成的有效应力的效果,煤基质收缩建立了水解吸引起的。揭示了煤层气开发中渗透性的动态变化。与实验结果相比,通过优异的协议成功验证了所提出的渗透变异模型的可靠性。此外,通常使用的模型和新模型中的比较表明,来自新模型的预测渗透率高于其他模型,例如P-M,S-D和C-B模型。新模型和传统模型之间的巨大差异明确地应力考虑粉煤渗透性造成的基质收缩效应的必要性和意义,不应被忽略。此外,基于所提出的渗透性模型,煤基质中相对湿度的影响严重关注。比较和分析了煤层气井动态渗透性的四种影响。结果表明,相对湿度对煤渗透性能具有重要影响,这将提高煤层中的动态渗透性。因此,水解吸引起的煤基质收缩的影响将增加煤储层中的动态渗透性。气体滑动对煤层中的动态渗透有点影响。

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