首页> 外文会议>SPWLA Annual Logging Symposium;Society of Petrophysicists and Well Log Analysts, inc >ROCK CLASSIFICATION IN THE EAGLE FORD SHALE THROUGH INTEGRATION OF PETROPHYSICAL, GEOLOGICAL, AND GEOCHEMICAL CHARACTERIZATION
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ROCK CLASSIFICATION IN THE EAGLE FORD SHALE THROUGH INTEGRATION OF PETROPHYSICAL, GEOLOGICAL, AND GEOCHEMICAL CHARACTERIZATION

机译:通过岩石物理,地质和地球化学特征的整合,在Eafordford页岩中进行岩石分类

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Formation evaluation and production design is often challenging in organic-rich mudrocks due to complexities in petrophysical and compositional properties, and post-depositional hydrocarbon generating mechanisms such as thermal maturation over time. Petrophysical parameters such as porosity, permeability and fluid saturations are important, but not sufficient to fully characterize organic-rich mudrocks. Integration of petrophysical, geochemical and geomechanical data is therefore required for a reliable rock classification in source rocks. This paper focuses on integrated rock classification in the Eagle Ford Shale in South Texas, consisting of organic-rich fossiliferous marine shale deposited in Late Cretaceous.We first performed joint inversion of triple-combo, spectral gamma ray and elemental capture spectroscopy (ECS) logs to estimate depth-by-depth volumetric concentration of minerals, porosity, and fluid saturations. In the absence of acoustic measurements, concentrations and shape (i.e., aspect ratio) of minerals were used as inputs to the Self-consistent Approximation (SCA) model, to estimate depth-by-depth effective elastic properties such as Young's Modulus (YM) and Poisson's Ratio (PR). We then classified the rocks based on geologic texture and geochemical properties, as well as well-log based estimates of petrophysical and geomechanical parameters.We successfully applied a well-log based rock classification to two wells located in the oil window of Eagle Ford formation. Well no. 1 produced an additional 20% of hydrocarbons in the first 90-day of its production. Through the analysis of the results, we observed similar petrophysical properties and organic content of the reservoir quality classes in both wells. However, we noticed differences in estimates of elastic parameters such as Young’s Modulus and Poisson’s Ratio between the two wells. For the interbedded wackestone-limestone facies, YM average estimate in well no. 1 was approximately 10% higher than well no. 2, which can be the reason for the difference in their production.
机译:由于岩石物理和组成特性的复杂性以及沉积后的生烃机制(例如随时间的热成熟),在富含有机物的泥岩中,地层评估和生产设计通常面临挑战。岩石物理参数(例如孔隙度,渗透率和流体饱和度)很重要,但不足以完全表征富含有机物的泥岩。因此,为了在烃源岩中进行可靠的岩石分类,需要整合岩石物理,地球化学和地球力学数据。本文着眼于南德克萨斯州伊格福德福特页岩的综合岩石分类,其中包括沉积在白垩纪晚期的富含有机物的化石海洋页岩。 我们首先进行了三组合,伽马光谱和元素捕获光谱(ECS)测井的联合反演,以估算矿物质的逐层体积浓度,孔隙度和流体饱和度。在没有声学测量的情况下,将矿物质的浓度和形状(即长宽比)用作自洽近似(SCA)模型的输入,以估算逐深度的有效弹性特性,例如杨氏模量(YM)和泊松比(PR)。然后,我们根据地质纹理和地球化学性质,以及基于测井的岩石物理和地球力学参数估计值对岩石进行分类。 我们成功地将基于测井的岩石分类应用于位于Eagle Ford地层油窗中的两口井。好吧,不。 1在其生产的前90天中额外生产了20%的碳氢化合物。通过对结果的分析,我们在两口井中观察到了相似的岩石物理性质和储层质量等级的有机物含量。但是,我们注意到两口井之间的弹性参数估算值存在差异,例如杨氏模量和泊松比。对于夹层的沃克石-石灰岩相,YM平均估算井号为3。 1比井号高约10%。 2,这可能是其产量差异的原因。

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