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Prediction Approach for Petrothermal Properties in Al Hashimiyya Basalts-Jordan

机译:Al Hashimiyya Basalts-Jordan的岩石热力预测方法

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Thermal conductivity and mineral composition of flood basalt in Al Hashimiyya city were correlated. Representative thin sections were optically analyzed for their mineral constituents and micro fractures. Findings of this study will contribute to a comprehensive understanding of the correlation between selected petrological characteristics of basalts and their heat conduction properties. It found that a 10% increase of opaque and ferromagnesian minerals volume in the studied basalts leads to a thermal conductivity increasing by 0.4 W • m~( − 1) • K~( − 1). This may considerably contribute to provide an alternative to direct measurements of the thermal conductivity in Jordan basalts if a sufficient mineralogical data set is achievable. Thus, the prediction of thermal conductivity through modal mineral composition may become a significant feature for efficient geothermal system exploration in basaltic rocks. The results can be brought together into a petrophysical and hydrogeothermal model for better reservoir characterization. Such models will improve the assessment of the basalt’s suitability as a geothermal reservoir for cooling and heating utilizations.
机译:将Al Hashimiyya市的玄武岩的热导率与矿物成分联系起来。对代表性的薄片进行光学分析以了解其矿物成分和微裂缝。这项研究的结果将有助于全面了解玄武岩的某些岩石学特征与其导热特性之间的相关性。结果发现,所研究的玄武岩中不透明和铁锰矿的体积增加了10%,导致热导率提高了0.4W。 m〜(− 1)• K〜(− 1)。如果可以获取足够的矿物学数据集,这可能会为直接测量约旦玄武岩中的导热系数提供替代方法。因此,通过模态矿物成分预测热导率可能成为玄武岩有效地热系统勘探的重要特征。可以将结果汇总到岩石物理和水文地热模型中,以更好地描述油藏。这样的模型将改善对玄武岩作为地热库供冷热利用的适用性的评估。

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