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Improvement of calculating formulas for volumetric resource assessment

机译：改进体积资源评估的计算公式

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The USGS volumetric method is used for assessing the electrical capacity of a geothermal reservoir. The calculation formulas include both underground related parameters and above-ground related parameters. While primary variability and uncertainty in this method lay in the underground related parameters, electric capacity calculated is also a function of the above-ground related parameters. Among those parameters, the fluid temperature of the reservoir will be the key parameter for the volumetric method calculation when used with Monte Carlo method, because this temperature is the variable (uncertain) underground related parameter which affects the steam-liquid separation process in the separator an above-ground related parameter. Conventional calculation methods do not deal with the steam-liquid separation process being affected by fluid temperature as a random variable when used together with Monte Carlo method. In order to fix up this issue, we have derived calculation formulas by introducing "Available Exergy Function", thereby, the fluid-temperature-dependant separation process can be included in the equations together with the fluid temperature as a random variable. This paper presents the electricity capacity calculations formulas that can be used for the volumetric method together with Monte Carlo method. In addition, a comparison is also made between the proposed method and the USGS method. The theoretical background of the proposed formula has eventually proved to be as same as the USGS method except for a few parameters adopted. (C) 2016 Elsevier Ltd. All rights reserved.
机译：USGS体积法用于评估地热库的电容量。计算公式包括地下相关参数和地上相关参数。尽管此方法的主要可变性和不确定性在于地下相关参数，但计算出的电容还是地上相关参数的函数。在这些参数中，与蒙特卡洛方法一起使用时，储层的流体温度将成为体积法计算的关键参数，因为该温度是影响分离器中汽液分离过程的与地下相关的变量（不确定）。地上相关参数。当与蒙特卡洛方法一起使用时，常规的计算方法不会将受流体温度影响的汽液分离过程作为随机变量处理。为了解决这个问题，我们通过引入“可用的火用函数”导出了计算公式，从而可以将取决于流体温度的分离过程与流体温度一起作为随机变量包括在方程中。本文提出了可用于体积法和蒙特卡洛法的电量计算公式。此外，还对提出的方法与USGS方法进行了比较。最终证明了所提出公式的理论背景与USGS方法相同，只是采用了一些参数。 （C）2016 Elsevier Ltd.保留所有权利。

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