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Productivity prediction with consideration of stress-sensitive permeability in naturally fractured carbonate reservoir
Energy Exploration & Exploitation ( IF 1.9 ) Pub Date : 2022-05-24 , DOI: 10.1177/01445987211064675
Congge He 1 , Lun Zhao 1 , Heng Song 1 , Zifei Fan 1 , Anzhu Xu 1 , Xing Zeng 1 , Haiyan Zhao 2 , Qingying Hou 1 , Yefei Chen 1 , Jincai Wang 1
Affiliation  

The aim of this paper is to illustrate the impact of stress-sensitive permeability on productivity in naturally fracture carbonate reservoirs. First, stress sensitivity evaluation experiments were conducted on artificial cores with matrix, uncemented fracture, partially- cemented fracture and fully-cemented fracture by measuring their permeability in the process of increasing confining pressure. Then, a new mathematical model for productivity prediction in naturally fractured carbonate reservoir with consideration of stress-sensitive permeability is developed. Comparisons have been made between the new model prediction results and field measured data to verify the accuracy of the new model. Finally, based on the validated model, the detailed impact of permeability modulus on productivity is analysed. The experiment results show that the strength of stress sensitivity, evaluated by permeability modulus, of cores with uncemented fracture and partially-cemented fracture is generally an order of magnitude larger than that of cores with matrix and fully-cemented fracture. The results show the new model can be simplified to the classic model (Vogel equation) under the condition of the stress sensitivity being not taken into account, which means the class model is corresponding to a special case of this new model. Field application shows that the new model is reliable and correct. Moreover, with the help of the new model, it is found that the impact of stress-sensitive permeability on productivity increases with increasing permeability modulus and decreasing flow bottom hole pressure.



中文翻译:

考虑应力敏感渗透率的天然裂缝性碳酸盐岩储层产能预测

本文的目的是说明应力敏感渗透率对天然裂缝碳酸盐储层产能的影响。首先,对基质、非胶结裂缝、部分胶结裂缝和全胶结裂缝人工岩心进行应力敏感性评价试验,通过测量其在围压增加过程中的渗透率。然后,建立了一种考虑应力敏感渗透率的天然裂缝性碳酸盐岩储层产能预测数学模型。将新模型的预测结果与现场实测数据进行了对比,验证了新模型的准确性。最后,基于验证模型,详细分析了渗透率模量对产能的影响。实验结果表明,以渗透率模量评价的非胶结裂缝和部分胶结裂缝岩心的应力敏感性强度通常比基质和全胶结裂缝岩心高一个数量级。结果表明,在不考虑应力敏感性的情况下,新模型可以简化为经典模型(Vogel方程),即类模型对应于新模型的一个特例。现场应用表明,新模型可靠、正确。此外,在新模型的帮助下,发现应力敏感渗透率对产能的影响随着渗透率模量的增加和流动井底压力的降低而增加。未胶结裂缝和部分胶结裂缝的岩心通常比基质和完全胶结裂缝的岩心大一个数量级。结果表明,在不考虑应力敏感性的情况下,新模型可以简化为经典模型(Vogel方程),即类模型对应于新模型的一个特例。现场应用表明,新模型可靠、正确。此外,在新模型的帮助下,发现应力敏感渗透率对产能的影响随着渗透率模量的增加和流动井底压力的降低而增加。未胶结裂缝和部分胶结裂缝的岩心通常比基质和完全胶结裂缝的岩心大一个数量级。结果表明,在不考虑应力敏感性的情况下,新模型可以简化为经典模型(Vogel方程),即类模型对应于新模型的一个特例。现场应用表明,新模型可靠、正确。此外,在新模型的帮助下,发现应力敏感渗透率对产能的影响随着渗透率模量的增加和流动井底压力的降低而增加。结果表明,在不考虑应力敏感性的情况下,新模型可以简化为经典模型(Vogel方程),即类模型对应于新模型的一个特例。现场应用表明,新模型可靠、正确。此外,在新模型的帮助下,发现应力敏感渗透率对产能的影响随着渗透率模量的增加和流动井底压力的降低而增加。结果表明,在不考虑应力敏感性的情况下,新模型可以简化为经典模型(Vogel方程),即类模型对应于新模型的一个特例。现场应用表明,新模型可靠、正确。此外,在新模型的帮助下,发现应力敏感渗透率对产能的影响随着渗透率模量的增加和流动井底压力的降低而增加。

更新日期:2022-05-24
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