页岩气藏多缝水平井反排封缝研究

Fengyuan Zhang, Hamid Emami‐Meybodi
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引用次数: 11

摘要

在多缝水平井(MFHW)中,裂缝的渗透率和裂缝半长等性质在生产初期会显著恶化,这对页岩储层的产气产生不利影响。因此,基于生产数据评估裂缝性质的时间变化至关重要。本文提出了一种利用反排和长期生产数据定量评价水力裂缝闭合和裂缝性质变化的工作流程。此外,我们开发了一个基于速率瞬态分析(RTA)的两相半分析模型,该模型假设在反排期间边界占主导地位。建议的工作流包括三个步骤。首先,采用两相半解析模型,利用返排数据计算裂缝性质,如初始裂缝渗透率和裂缝半长。然后,利用单相双线性流动模型计算初始裂缝渗透率,利用长期产气量数据,利用单相线性流动模型计算裂缝半长和基质渗透率。这些模型考虑了渗透率的压力依赖性。最后,我们比较了反排和长期生产数据的计算结果,以评估裂缝闭合及其对裂缝渗透率的影响。通过数值模拟验证了半解析式反排模型和工作流程。结果表明,所建立的模型能够预测裂缝性质和评价裂缝闭合性。此外,所提出的工作流程提供了对压裂增产性能的定量分析,并且能够使用反排和长期生产数据来密切估计渗透率模量,而不是进行实验室实验。
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Flowback Fracture Closure of Multifractured Horizontal Wells in Shale Gas Reservoirs
In multi-fractured horizontal wells (MFHW), fracture properties such as permeability and fracture half-length significantly deteriorate during early production, which negatively affects gas production from shale reservoirs. Therefore, it is crucial to evaluate the temporal changes in fracture properties based on production data. This paper presents a workflow in which both flowback and long-term production data are used to quantitatively evaluate hydraulic fracture closure and changes in the fracture properties. In addition, we develop a two-phase semi-analytical model based on rate transient analysis (RTA) that assumes boundary dominated flow during the flowback period. The proposed workflow consists of three steps. First, we used the flowback data to calculate fracture properties, such as initial fracture permeability and fracture half-length, by employing the two-phase semi-analytical model. Then, we calculated initial fracture permeability by using a single-phase bilinear flow model as well as the fracture half-length and matrix permeability by using a single-phase linear flow model from the long-term gas production data. These models consider pressure dependency of permeability. Last, we compared the results that are calculated from both flowback and long-term production data to evaluate fracture closure and its effects on fracture permeability. We validated the semi-analytical flowback model and the workflow against numerical simulations. The results show that the developed model is capable of predicting fracture properties and evaluating fracture closure. Furthermore, the proposed workflow provides quantitative insights on the performance of fracture stimulation and is able to closely estimate permeability modulus using flowback and long-term production data instead of conducting laboratory experiments.
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