当前位置:
X-MOL 学术
›
Geotherm. Energy
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
GaS_GeoT: A computer program for an effective use of newly improved gas geothermometers in predicting reliable geothermal reservoir temperatures
Geothermal Energy ( IF 4.2 ) Pub Date : 2021-01-18 , DOI: 10.1186/s40517-020-00182-9 A. Acevedo-Anicasio , E. Santoyo , D. Pérez-Zárate , Kailasa Pandarinath , M. Guevara , L. Díaz-González
Geothermal Energy ( IF 4.2 ) Pub Date : 2021-01-18 , DOI: 10.1186/s40517-020-00182-9 A. Acevedo-Anicasio , E. Santoyo , D. Pérez-Zárate , Kailasa Pandarinath , M. Guevara , L. Díaz-González
A geochemometric study based on a multi-criteria decision analysis was applied, for the first time, for the optimal evaluation and selection of artificial neural networks, and the prediction of geothermal reservoir temperatures. Eight new gas geothermometers (GasG1 to GasG8) were derived from this study. For an effective and practical application of these geothermometers, a new computer program GaS_GeoT was developed. The prediction efficiency of the new geothermometers was compared with temperature estimates inferred from twenty-five existing geothermometers using gas-phase compositions of fluids from liquid- (LIQDR) and vapour-dominated (VAPDR) reservoirs. After applying evaluation statistical metrics (DIFF%, RMSE, MAE, MAPE, and the Theil's U test) to the temperature estimates obtained by using all the geothermometers, the following inferences were accomplished: (1) the new eight gas geothermometers (GasG1 to GasG8) provided reliable and systematic temperature estimates with performance wise occupying the first eight positions for LIQDR; (2) the GasG3 and GasG1 geothermometers exhibited consistency as the best predictor models by occupying the first two positions over all the geothermometers for VAPDR; (3) the GasG3 geothermometer exhibited a wider applicability, and a better prediction efficiency over all geothermometers in terms of a large number of samples used (up to 96% and 85% for LIQDR and VAPDR, respectively), and showed the smallest differences between predicted and measured temperatures in VAPDR and LIQDR; and lastly (4) for the VAPDR, the existing geothermometers ND84c, A98c, and ND98b sometimes showed a better prediction than some of the new gas geothermometers, except for GasG3 and GasG1. These results indicate that the new gas geothermometers may have the potential to become one of the most preferred tools for the estimation of the reservoir temperatures in geothermal systems.
中文翻译:
GaS_GeoT:一种计算机程序,可有效利用新改进的气体地热仪来预测可靠的地热库温度
首次将基于多标准决策分析的地球化学研究应用于人工神经网络的最佳评估和选择,以及地热储层温度的预测。这项研究得出了八种新的气体地热仪(GasG1至GasG8)。为了有效,实用地使用这些地热仪,开发了新的计算机程序GaS_GeoT。将新的地热仪的预测效率与使用液体(LIQDR)和以蒸气为主(VAPDR)储层中的流体的气相成分从现有的二十五个地温仪推断出的温度估算值进行了比较。将评估统计指标(DIFF%,RMSE,MAE,MAPE和Theil的U检验)应用于通过所有地热仪获得的温度估算后,得出以下结论:(1)新的八种气体地热仪(GasG1至GasG8)提供了可靠且系统的温度估计,其性能在LIQDR的前八个位置上均占据优势;(2)GasG3和GasG1地热仪通过在VAPDR的所有地热仪中占据前两个位置,表现出作为最佳预测器模型的一致性;(3)GasG3地热仪显示了更广泛的适用性,并且就使用的大量样本而言,所有地热仪的预测效率更高(LIQDR和VAPDR分别高达96%和85%),并且之间的差异最小VAPDR和LIQDR中的预测和测量温度;最后(4)对于VAPDR,现有的地热仪ND84c,A98c,ND98b有时显示出比某些新的气体地热仪更好的预测,除了GasG3和GasG1。这些结果表明,新的天然气地热仪有可能成为估计地热系统储层温度的最优选工具之一。
更新日期:2021-01-18
中文翻译:
GaS_GeoT:一种计算机程序,可有效利用新改进的气体地热仪来预测可靠的地热库温度
首次将基于多标准决策分析的地球化学研究应用于人工神经网络的最佳评估和选择,以及地热储层温度的预测。这项研究得出了八种新的气体地热仪(GasG1至GasG8)。为了有效,实用地使用这些地热仪,开发了新的计算机程序GaS_GeoT。将新的地热仪的预测效率与使用液体(LIQDR)和以蒸气为主(VAPDR)储层中的流体的气相成分从现有的二十五个地温仪推断出的温度估算值进行了比较。将评估统计指标(DIFF%,RMSE,MAE,MAPE和Theil的U检验)应用于通过所有地热仪获得的温度估算后,得出以下结论:(1)新的八种气体地热仪(GasG1至GasG8)提供了可靠且系统的温度估计,其性能在LIQDR的前八个位置上均占据优势;(2)GasG3和GasG1地热仪通过在VAPDR的所有地热仪中占据前两个位置,表现出作为最佳预测器模型的一致性;(3)GasG3地热仪显示了更广泛的适用性,并且就使用的大量样本而言,所有地热仪的预测效率更高(LIQDR和VAPDR分别高达96%和85%),并且之间的差异最小VAPDR和LIQDR中的预测和测量温度;最后(4)对于VAPDR,现有的地热仪ND84c,A98c,ND98b有时显示出比某些新的气体地热仪更好的预测,除了GasG3和GasG1。这些结果表明,新的天然气地热仪有可能成为估计地热系统储层温度的最优选工具之一。