李亚龙, 刘先贵, 胡志明, 端祥刚, 张杰, 张彦从. 基于三重介质等效缝网的页岩气产能预测新模型[J]. 煤炭学报, 2020, 45(S1): 377-383. DOI: 10.13225/j.cnki.jccs.2019.1009
引用本文: 李亚龙, 刘先贵, 胡志明, 端祥刚, 张杰, 张彦从. 基于三重介质等效缝网的页岩气产能预测新模型[J]. 煤炭学报, 2020, 45(S1): 377-383. DOI: 10.13225/j.cnki.jccs.2019.1009
LI Yalong, LIU Xiangui, HU Zhiming, DUAN Xianggang, ZHANG Jie, ZHANG Yancong. A new model for shale gas productivity prediction based on the equivalent fracture network of triple-porosity media[J]. Journal of China Coal Society, 2020, 45(S1): 377-383. DOI: 10.13225/j.cnki.jccs.2019.1009
Citation: LI Yalong, LIU Xiangui, HU Zhiming, DUAN Xianggang, ZHANG Jie, ZHANG Yancong. A new model for shale gas productivity prediction based on the equivalent fracture network of triple-porosity media[J]. Journal of China Coal Society, 2020, 45(S1): 377-383. DOI: 10.13225/j.cnki.jccs.2019.1009

基于三重介质等效缝网的页岩气产能预测新模型

A new model for shale gas productivity prediction based on the equivalent fracture network of triple-porosity media

  • 摘要: 建立针对页岩气渗流机理和开发特征的产能模型是实现页岩气产能可靠预测和指导储层高效开发的关键手段。为了解决因页岩气在基质-缝网系统中的多重输运机制和多尺度流动效应导致的数学描述复杂、耦合求解困难等问题,综合考虑页岩气解吸附、扩散、渗流等特征因素,基于系列实验创建的页岩气高压等温吸附模型、广义渗透率模型,并结合基质-裂缝窜流模型,修正和完善了基质-裂缝中页岩气的耦合渗流模型。然后将PKN主裂缝扩展模型嵌入到裂缝-基岩双重介质模型中,建立了基岩-次生裂缝系统-主裂缝的三重介质等效缝网模型。最后通过耦合等效缝网模型和改进渗流模型实现了综合考虑页岩气多重流动机制和多尺度输运的产能预测。产能预测新模型的实例应用显示,对气井生产1 435 d的生产数据进行归整化曲线拟合,其效果理想,说明了新模型应用的可靠性。对该井应用新模型回归出了等效基岩块和缝网参数,同时利用新模型开展该井20 a的产能预测,相较于对比模型,生产前10 a的预测结果基本一致,生产10~20 a的预测值逐渐偏离,新模型EUR (估算的最终可采储量)为1.33亿m3,比对比模型1.27亿m3高出5%。研究结果表明,考虑综合渗流机制和耦合缝网的新模型充分体现了生产后期气井低压条件下吸附气的动用和扩散能力的提升,与气井实际生产情况一致,因此,应用于气井中长期产能预测更加可靠。新模型在页岩气水平井产能预测中具有紧密依托现场施工、生产数据及易于求解和应用等特点。

     

    Abstract: Establishing the productivity model aimed at the percolation mechanisms and development characteristics of shale gas is the key means to realize a reliable prediction of shale gas productivity and guides its reservoir development efficiently. Shale gas has multiple transport mechanisms and multi-scale flow effects in the matrix-fracture network system,which lead to complex mathematical descriptions and difficult coupling solving processes. In order to deal with these problems,considering the characteristics of desorption,diffusion and seepage of shale gas,the coupled model of shale gas seepage in the matrix-fracture system is revised and improved by means of high-pressure isothermal adsorption model and generalized permeability model derived from a series of experiments and combining matrix-fracture fluid channeling model. Then,the PKN model of principal fracture propagation is embedded in the dual-porosity fracturebedrock model to establish an equivalent fracture network model of triple-porosity media,which consists of bedrock,secondary fracture system and principal fracture. By coupling the equivalent fracture network model with the improved seepage model,the productivity prediction considering the multiple flow mechanisms and multi-scale transportation of shale gas has been realized. The case study for the new productivity prediction model shows that the fitting effect of the gas well production data of 1 435 days using the integration curve is satisfactory,revealing the reliability of the application of the new model. Equivalent bedrock-fracture network parameters of the well are also regressed using the proposed model. The new model is used to predict the well productivity for past 20 years. Compared with the contrast model,the predicted production results in the first 10 years are basically the same,and those from 10 to 20 years are gradually deviated. The EUR (estimated ultimate recovery) by the new model is 133 million cubic meters,which is 5% higher than the 127 million cubic meters of the comparative model. The study shows that the new model,which considers the comprehensive seepage mechanisms and coupled fracture network,fully reflects the motion of adsorbed gas and the increasing diffusion capacity for gas wells at low pressures in the later stage of production,and is consistent with the actual production situation of gas wells. The proposed model is,therefore,more reliable for the mid-long term productivity prediction of gas wells. And for shale gas horizontal well production capacity prediction,the new model closely relies on on-site construction and production data,and is characterized by being solved and applied easily.

     

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