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Rock thermal properties from well-logging data accounting for thermal anisotropy

机译:从井井光数据占热各向异性的岩石热性能

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The limitations of the existing techniques for in situ rock thermal property measurements and numerous cases with non-coring drilling determine the necessity for methods of rock thermal property determination based on well-logging data. Existing approaches for determining rock thermal properties from well-logging data are appropriate only for isotropic rocks. Since many rock types, especially organic-rich shales, exhibit a considerable degree of heterogeneity and anisotropy, advanced approaches for well log-based determination of rock thermal properties are highly desired. The implementation of the new thermal core logging technique, which provides continuous and high-precision measurements of the principal components of the thermal conductivity tensor and volumetric heat capacity from core samples, enabled the development of a new framework for the indirect determination of rock thermal properties. An enhanced technique for determining rock thermal conductivity and volumetric heat capacity from well-logging data accounting for thermal anisotropy and in situ thermobaric conditions is proposed and tested. This technique includes both the application of theoretical models and regression analysis of rock thermal properties, depending on the availability and quality of the input data. Three theoretical models involving a correction factor were compared to provide the best results. The experimental data of rock thermal properties inferred from the thermal core-logging and well-logging data from five wells (1630 samples) drilled through two highly anisotropic unconventional formations ? the Bazhenov and the Domanic ? were used as the basis of this newly developed approach. It is shown that rock thermal conductivity can be predicted from well-logging data accounting for thermal anisotropy with an uncertainty of less than 12 % and rock volumetric heat capacity with a total uncertainty of less than 5%.
机译:现有技术用于原位岩石热性能测量和非取芯钻井的众多病例的局限决定了基于良好测井数据的岩石热特性测定方法的必要性。从测井数据中确定岩石热性能的现有方法仅适用于各向同性岩石。由于许多岩石类型,特别是有机富含有机的Hales,因此高效地表现出相当程度的异质性和各向异性,因此非常需要用于良好的基于​​岩石热性能的岩石热性能的高级方法。新的热核测井技术的实现,它提供了来自核心样本的导热张量和容积热容量的主要成分的连续和高精度测量,使得开发了间接测定岩石热性能的新框架。提出了一种增强的技术,用于确定热量各向异性的良好测井数据核算和原位热差异条件的岩热导电性和体积热容量。该技术包括根据输入数据的可用性和质量,包括岩石热属性的理论模型和回归分析的应用。比较了涉及校正因子的三种理论模型,以提供最佳效果。从5个井(1630个样本)从热核记录和测井数据中推断出岩石热特性的实验数据通过两个高度各向异性的非传统形成钻了两种井(1630个样本)? Bazhenov和Domanic?被用作这种新开发方法的基础。结果表明,岩体导热率可以从测井数据核算中预测,用于热各向异性,不确定度小于12%,并且总不确定度小于5%的岩石体积热容量。

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