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Characterization of Small Scale Heterogeneity to Predict Acid Fracture Performance

机译:小规模异质性表征预测酸断裂性能

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Recently developed models of the acid fracturing process have shown that the differential etching necessary to create lasting fracture conductivity is caused by the heterogeneous distributions of permeability and mineralogy along the fracture faces. To predict the conductivity that can be created by acid in a particular formation, the models require information about these formation properties and their spatial variation. This research aims to quantify the small scale heterogeneity by using a geostatistical description to ascertain the distribution of permeability in a carbonate formation. Parameters that quantify the directional correlation and variance of the data are developed. The correlation length and variance parameters are a first step in being able to couple acid transport and rock dissolution models at reservoir scale with a model of fracture conductivity based on channels and roughness features caused by small scale heterogeneity. These geostatistical parameters are developed for a well in the Hugoton Field. Data leading to their derivation are obtained from a combination of well logs and cores. The resulting geostatistical parameters and acid etched width are used to predict acid fracture performance. Application of new model conductivity correlations results in a unique prediction for the acid fracture case study that differs from the industry standard.
机译:最近开发的酸性压裂过程模型表明,产生持久断裂导电性所需的差动蚀刻是由沿骨折面的渗透性和矿物质的异质分布引起的。为了预测特定地层中可以通过酸产生的导电性,模型需要关于这些形成性质的信息及其空间变化。该研究旨在通过使用地质统计学描述来量化小规模的异质性,以确定碳酸酯形成中渗透性分布。制定了量化了定向相关性和数据的方差的参数。相关长度和方差参数是能够在储存量规模中耦合酸速和岩石溶出模型的第一步,其基于小规模异质性引起的通道和粗糙度特征的裂缝导电性模型。这些地质统计参数是在Hugoton领域的井开发的。导致其派生的数据是从井日志和核心的组合获得的。由此产生的地统计学参数和酸蚀刻宽度用于预测酸断裂性能。新模型电导率相关的应用导致对不同行业标准不同的酸性裂缝案例研究的独特预测。

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