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Sweet spot identification in underexplored shales using multidisciplinary reservoir characterization and key performance indicators: Example of the Posidonia Shale Formation in the Netherlands

机译:利用多学科储层特征和关键性能指标识别未勘探页岩的最佳位置:荷兰波西多尼亚页岩组的实例

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Sweet spot identification in underexplored shale gas basins needs to be based on a limited amount of data on shale properties in combination with upfront geological characterization and modelling, because actual production data is usually absent. Multidisciplinary reservoir characterization and integration of modelling approaches can aid initial site selection for exploratory drilling and de-risk exploration efforts. In this study, the potential of hydrocarbon production across underexplored shale basins is analyzed using key performance indicators. A mean indicator is defined as the harmonic mean of three performance indicators that describe the potential for hydrocarbon generation, storage, and flow stimulation. The performance indicators are based on a limited number of local shale properties, i.e. vitrinite reflectance, porosity, depth, thickness, sorbed gas content and brittleness index. Values for the indicators are calculated relative to prospective North American shales (Marcellus, Bakken, Haynesville and Barnett), so that the mean indicator can be used to rank the prospectivity of an underexplored shale relative to hydrocarbon producing shales. The mean performance indicator is also used to map out the potential for gas production in the underexplored Posidonia Shale Formation in the West Netherlands Basin. The analysis shows that the performance indicator is lower for the Posidonia than for the North American Shales, mainly due to low maturity and brittleness. Local maxima of the indicator correlate with local maxima in vitrinite reflectance and depth. Besides the low potential for flow stimulation, the potential for hydrocarbon generation and storage capacity of the Posidonia are comparable to oil-window thermal-maturity Barnett Shale. Upfront simulations of hydraulic fracture properties and gas production in the Posidonia Shale Formation are in rough agreement with observed average gas flow for Barnett wells in non-core areas that are oil mature. It shows that key performance indicators can be applied to underexplored shales to quantify prospectivity and map out sweet spots across shale basins. (C) 2015 Elsevier B.V. All rights reserved.
机译:未开采的页岩气盆地的最佳位置识别需要基于有限的页岩属性数据,再结合前期地质特征和建模,因为通常缺乏实际的生产数据。多学科储层的表征和建模方法的集成可以帮助初步选址,以进行探索性钻探和降低风险的勘探工作。在这项研究中,使用关键性能指标分析了未开发的页岩盆地的油气生产潜力。均值指标定义为三个性能指标的谐波均值,这些指标描述了碳氢化合物生成,储存和增产的潜力。性能指标是基于有限的局部页岩性质,即镜质体反射率,孔隙率,深度,厚度,吸附气体含量和脆性指数。指标值是相对于预期的北美页岩(Marcellus,Bakken,Haynesville和Barnett)进行计算的,因此平均指标可用于对未开采的页岩相对于产烃页岩的前景进行排名。平均性能指标还用于绘制西荷兰盆地未开发的波西多尼亚页岩层中的天然气生产潜力。分析表明,波西多尼亚的性能指标低于北美页岩,主要是由于其成熟度和脆性低。指示剂的局部最大值与镜质体反射率和深度的局部最大值相关。除了具有较低的增产潜力外,波西多尼亚的生烃潜力和储藏能力还可以与油窗热成熟度的Barnett页岩相媲美。波西多尼亚页岩层中水力压裂特性和产气量的前期模拟与油成熟的非核心地区的Barnett井的平均气流量大致吻合。它表明,关键性能指标可以应用于未开发的页岩,以量化前瞻性并绘制出整个页岩盆地的最佳位置。 (C)2015 Elsevier B.V.保留所有权利。

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