Characterizing natural fractures productivity in tight gas reservoirs

致密气藏通常由于基质渗透率极低以及在钻井、完井和生产过程中发生的各种形式的地层损害而存在生产问题。在天然裂缝发育的致密气藏中,气体主要储存在低渗透率的岩石基质中,天然裂缝对总气产量的贡献最大。因此,识别致密地层中天然裂缝的特征对于评估井的生产力至关重要。井测试和测井是评估井生产力的常用工具。图像测井可以提供裂缝静态参数,而井测试分析可以提供与储层动态参数相关的数据。然而,由于天然裂缝发育的致密气藏中基质渗透率低和地层复杂,井测试数据受到长井筒储存效应的影响,掩盖了储层对压力变化的响应,可能无法提供双重孔隙双重渗透模型的动态特性,如裂缝渗透率、裂缝储存率和孔隙间流动系数。因此,将井测试和图像测井数据应用于天然裂缝发育的致密气藏以获得有意义的结果可能不太容易理解,数据可能难以解释。本文通过整合井测试分析结果和图像测井数据,基于Kazemi简化模型,估算了天然裂缝发育的致密气层中的裂缝渗透率。对双重孔隙和双重渗透系统的储层模拟和敏感性分析进行了不同基质和裂缝参数的模拟,以了解天然裂缝参数与井测试渗透率之间的关系。模拟结果证实了所提出的裂缝渗透率估算相关性的可靠性。还展示了现场实例,以说明井测试分析和图像测井数据处理结果在估算致密气藏天然裂缝平均渗透率中的应用。

CMG软件的应用情况

在本文中,CMG(Calgary计算机建模集团)数值储层模拟软件被广泛用于基于致密气藏的现场数据进行储层模拟。该模型基于其基本公式是完全隐式的,并且软件中的非线性方程通过牛顿迭代求解,雅可比矩阵的导数通过数值方法计算。通过运行不同的裂缝参数模型来分析压力恢复响应输出对每个裂缝参数的敏感性。敏感性分析针对不同的基质和裂缝参数进行,以了解天然裂缝静态和动态参数之间的关系。模拟模型场景如表2所示。每次模拟运行包括一个气产量为500 MSCFD的生产期,随后是压力恢复期。压力恢复数据被分析以估算每个双重孔隙双重渗透系统的井测试渗透率,然后确定每个裂缝参数与井测试分析结果之间的关系。

作者单位

Hassan Bahrami、Reza Rezaee、Mofazzal Hossain,澳大利亚科廷大学石油工程系

Abstract

Tight formations normally have production problems mainly due to very low matrix permeability and various forms of formation damage that occur during drilling completion and production operation. In naturally fractured tight gas reservoirs, gas is mainly stored in the rock matrix with very low permeability, and the natural fractures have the main contribution on total gas production. Therefore, identifying natural fractures characteristics in the tight formations is essential for well productivity evaluations. Well testing and logging are the common tools employed to evaluate well productivity. Use of image log can provide fracture static parameters, and welltest analysis can provide data related to reservoir dynamic parameters. However, due to the low matrix permeability and complexity of the formation in naturally fractured tight gas reservoirs, welltest data are affected by long wellbore storage effect that masks the reservoir response to pressure change, and it may fail to provide dual-porosity dual-permeability models dynamic characteristics such as fracture permeability, fracture storativity ratio and interporosity flow coefficient. Therefore, application of welltest and image log data in naturally fractured tight gas reservoirs for meaningful results may not be well understood and the data may be difficult to interpret. This paper presents the estimation of fracture permeability in naturally fractured tight gas formations, by integration of welltest analysis resultsand image log data based on Kazemi’s simplified model. Reservoir simulation of dual-porosity and dual-permeability systems and sensitivity analysis are performed for different matrix and fracture parameters to understand the relationship between natural fractures parameters with welltest permeability. The simulation results confirmed reliability of the proposed correlation for fracture permeability estimation. A field example is also shown to demonstrate application of welltest analysis and image log data processing results in estimating average permeability of natural fractures for the tight gas reservoir.

Keywords :Fracture permeability  Tight gas reservoirs Natural fractures characterisation  Welltest analysis

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