Unconventional reservoir performance is assessed and quantified via integration of compositional, rock fabric, and static mechanical property analyses that are routinely performed on drill core or cuttings. This approach has several limitations; for example, it can only be used where drill core and cuttings are available, and comprehensive analysis may be cost prohibitive at the full scale of a resource play. In this contribution, we propose a novel workflow that provides a robust correlation between compositional, mineralogical, and geomechanical properties of unconventional shale plays and wire-line log signature. Our approach enables the extrapolation of compositional and mechanical reservoir properties into areas in which drill core is lacking but wire-line logs are available. We illustrate our workflow using a case study from the Duvernay unconventional shale play in western-central Alberta (Canada). Our analysis reveals a high degree of correlation between core-measured mineral components and two wire-line logs: pulsed neutron spectroscopy (PNS) and spectral gamma ray (SGR). In particular, we show that PNS-derived calcium, aluminum, and silicon concentrations and SGR-derived thorium and potassium concentrations may be used to identify silica-rich, clay-rich, and carbonate-rich intervals, respectively, within the reservoir. We show that these intervals exhibit distinct mechanical properties, suggesting that they are also characterized by distinct hydraulic fracturing efficiency. Since well logs are generally more abundant than drill cores, our approach may prove critical in assessing predrill reservoir potential not only in the Duvernay but in similar unconventional plays worldwide.

中文翻译：

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从电缆测井预测非常规油​​藏潜力：加拿大艾伯塔省西部的杜韦内页岩气的成分和地质力学性质之间的相关性

非常规油藏的性能通过对岩心或岩屑常规进行的成分分析，岩石结构分析和静态力学性能分析来评估和量化。这种方法有几个局限性。例如，它只能用于有钻芯和钻屑的地方，而全面的分析可能无法在整个资源范围内进行昂贵的成本分析。在这项贡献中，我们提出了一种新颖的工作流程，该工作流程提供了非常规页岩气的构造，矿物学和地质力学特性与电缆测井特征之间的稳固相关性。我们的方法可以将组成和机械储层特性外推到缺少钻芯但可以使用钢丝测井的区域。我们使用来自加拿大中西部艾伯塔省中部Duvernay非常规页岩油层的案例研究来说明我们的工作流程。我们的分析表明，岩心测量的矿物成分与两条测井曲线之间存在高度相关性：脉冲中子光谱（PNS）和光谱伽马射线（SGR）。特别是，我们表明，可将PNS衍生的钙，铝和硅浓度以及SGR衍生的or和钾浓度分别用于识别储层中富含二氧化硅，富含粘土和富含碳酸盐的层段。我们表明，这些层段表现出不同的机械性能，表明它们还具有不同的水力压裂效率。由于测井资料通常比钻芯丰富，