一种基于矿物重量或体积分数估算岩石力学特性的创新方法及其在中东油藏中的应用

U. Prasad, A. Hanif, I. McGlynn, F. Walles, A. Abouzaid, O. Hamid
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引用次数: 0

摘要

矿物学对岩石力学特性的影响在包括水力压裂在内的油气勘探和生产过程中有着广泛的应用。在常规资源中,岩石力学性质主要受孔隙度控制;然而,在非常规致密地层中,矿物学作为岩石力学特性函数的重要性尚未得到充分研究。在非常规致密地层中,力学性质通常由矿物学权重分数以及对孔隙度的最佳估计、流体类型的假设、孔隙填充程度和流体性质得出。然后根据其体积分数调整这些属性,随后通过声学或地质力学实验室测量进行校准。提出了一种利用矿物学权重分数(由测井或实验室测量确定)的新方法。该过程使用矿物的公共领域信息,分别使用Voigt和Reuss平均算法作为上界和下界。这些边界的平均值(也称为希尔平均值)为这些参数提供了一个代表性值。此外,基于各向同性条件,计算了所有弹性性能。讨论和分析了由体积、剪切和杨氏模量组成的典型输出,以及由传统的体积分数法和使用重量分数的新方法得到的泊松比,以及对单个岩石性质的敏感性和趋势。此外,相应的强度、硬度和断裂韧性也可以使用已知的公共领域算法来估计。本文讨论了碳酸盐岩储层资料。该方法展示了如何估计颗粒压缩性,这在实验室测量非常规致密岩石样品时是具有挑战性的。在低孔隙度样品中,孔隙度的相对影响与矿物组成相比可以忽略不计。这种方法减少了与致密岩石中精确孔隙度测定相关的一些假设和不确定性,因为它不需要计算孔隙流体的数量和流体性质。孔隙弹性比奥氏系数的计算采用颗粒压缩性和体积压缩性(通过岩心塞的实验室流体静力试验测量或通过密度和交叉偶极子测井计算),因为该系数将用于计算原位主有效应力(覆盖层、最小水平应力和最大水平应力),这些应力与岩石性质和孔隙压力一起构成地质力学模型。地质力学模型用于钻井、完井和水力压裂建模,包括井筒稳定性和储层完整性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Innovative Methodology for Estimating Rock Mechanical Properties from Weight or Volume Fractions of Mineralogy and its Application to Middle East Reservoirs
The influences of mineralogy on rock mechanical properties have profound application in oil and gas exploration and production processes, including hydraulic fracturing operations. In conventional resources, the rock mechanical properties are predominantly controlled by porosity; however, in unconventional tight formations, the importance of mineralogy as a function of rock mechanical properties has not been fully investigated. In unconventional tight formations, mechanical properties are often derived from mineralogy weight fraction together with the best estimate of porosity, assumption of fluid types, the extent of pore fillings, and fluid properties. These properties are then adjusted for their volumetric fractions and subsequently calibrated with acoustics or geomechanical lab measurements. A new method is presented that utilizes mineralogy weight fractions (determined from well logs or laboratory measurements). This process uses public domain information of minerals using Voigt and Reuss averaging algorithms as upper and lower bounds, respectively. An average of these bounds (also known as Hill average) provides a representative value for these parameters. Further, based on isotropic conditions, all the elastic properties are calculated. A typical output consisting of bulk-, shear-, and Young's - modulus, together with Poisson's ratio obtained from traditional methods of volume fractions and this new method using weight fractions is discussed and analyzed along with the sensitivity and the trends for individual rock properties. Furthermore, corresponding strengths, hardness, and fracture toughness could also be estimated using well known public domain algorithms. Data from carbonate reservoirs has been discussed in this work. This method shows how to estimate grain compressibility that can be challenging to be measured in the lab for unconventional tight rock samples. In low-porosity samples, the relative influence of porosity is negligible compared to the mineralogy composition. This approach reduces several assumptions and uncertainties associated with accurate porosity determination in tight rocks as it does not require the amount of pore fluids and fluid properties in calculations. The grain-compressibility and bulk-compressibility (measured by hydrostatic tests in the laboratory on core plugs or calculated from density and cross-dipole log) are used to calculate poroelastic Biot's coefficient, as this coefficient will be used to calculate in-situ principal effective stresses (overburden, minimum horizontal, and maximum horizontal stresses), which are, together with rock properties and pore pressure, constitutes the geomechanical model. The geomechanical model is used for drilling, completions, and hydraulic fracture modeling, including wellbore stability, and reservoir integrity analyses.
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