Horizontal well and large-scale fracturing are revolutionary technologies in petroleum industry. The technologies bring obvious economic benefits to exploiting unconventional oil and gas reservoirs with low permeability, ultra-low permeability and shale gas. With the increasingly extensive application of these technologies, other correlated technologies have also gained great development. However, low-permeability reservoirs exhibit complicated features and horizontal well fractures have complex shape. The existing methods for the productivity prediction of fractured horizontal well in low-permeability reservoirs rarely consider the influencing factors in a comprehensive manner. In this paper, a horizontal well seepage model of casing fracturing completion was established according to the superposition principle of lowpermeability reservoir and the relationship between potential and pressure, by which model the seepage characteristics of low-permeability reservoirs could be fully described. Based on the established new seepage model, a new targeted model with coupling seepage and wellbore flow was established for the productivity prediction of low-permeability fractured horizontal well. Finally, the new targeted model was verified through field experiment. The experimental results confirmed the reliability of productivity prediction by the proposed model. Sensitivity analysis was then performed on the parameters in the proposed model.

中文翻译：

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具有低渗透率流动特征的水平裂缝井产能预测

水平井和大规模压裂是石油工业的革命性技术。该技术为开发低渗透、特低渗透、页岩气等非常规油气藏带来了明显的经济效益。随着这些技术的应用越来越广泛，其他相关技术也得到了长足的发展。但低渗透储层特征复杂，水平井裂缝形态复杂。现有的低渗透油藏压裂水平井产能预测方法很少综合考虑影响因素。在本文中，根据低渗透储层的叠加原理和势压关系，建立了套管压裂完井水平井渗流模型，该模型可以充分描述低渗透储层的渗流特征。在建立的新型渗流模型的基础上，建立了渗流与井筒流动耦合的新型定向模型，用于低渗透压裂水平井产能预测。最后，通过现场试验验证了新的靶向模型。实验结果证实了该模型对生产率预测的可靠性。然后对提出的模型中的参数进行敏感性分析。该模型可以充分描述低渗透储层的渗流特征。在建立的新型渗流模型的基础上，建立了渗流与井筒流动耦合的新型靶向模型，用于低渗透压裂水平井产能预测。最后，通过现场试验验证了新的靶向模型。实验结果证实了该模型对生产率预测的可靠性。然后对提出的模型中的参数进行敏感性分析。该模型可以充分描述低渗透储层的渗流特征。在建立的新型渗流模型的基础上，建立了渗流与井筒流动耦合的新型定向模型，用于低渗透压裂水平井产能预测。最后，通过现场试验验证了新的靶向模型。实验结果证实了该模型对生产率预测的可靠性。然后对提出的模型中的参数进行敏感性分析。通过现场试验验证了新的靶向模型。实验结果证实了该模型对生产率预测的可靠性。然后对提出的模型中的参数进行敏感性分析。通过现场试验验证了新的靶向模型。实验结果证实了该模型对生产率预测的可靠性。然后对提出的模型中的参数进行敏感性分析。