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Hydrogeologic Windows: Detection of Blind and Traditional Geothermal Play Fairways in Southwestern New Mexico Using Conservative Element Concentrations and Advective-Diffusive Solute Transport

机译:水文地质窗户:使用保守元素浓度检测新墨西哥州西南部的盲和传统地热播放球道,平均扩散溶质运输

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We combine trace element geochemistry and hydrologic tracer transport analysis to identify geothermal upflow zones within southwestern New Mexico. We analyzed about 1400-4000 wells with lithium and boron chemical analyses. Most of the geothermal waters had elevated lithium and boron concentrations (> 0.5 mg/1) that weakly correlate with reservoir temperatures. We used available water-table measurements to construct water-table maps and calculate groundwater flow directions. We used an "upwinding" approach to track mathematical particles through the flow field within the shallow aquifer system. Areas where particles with high tracer concentrations pass wells with low tracer concentrations may indicate the presence of a geothermal upflow zone. The approach was applied to the southern Albuquerque Basin near San Acacia and the southern Engle Basin near Truth or Consequences, NM. Although our approach revealed a potential geothermal upflow zone at Indian Wells spring near San Acacia NM, additional work is needed to refine the methodology. A multiple realization-based methodology for locating tracer sources was also developed. In this method, an advection-diffusion equation was solved for eighty realizations of different source locations in the Socorro-La Jencia Basin area. By comparing simulated tracer concentrations to measured values, a source-likelihood map was drawn, and the tentative source locations were identified. The region of high heat flow within the Socorro-La Jencia Basin at the base of Socorro Peak was found to have a local minimum of the root mean squared error of simulated minus observed normalized lithium concentrations. This suggests that our approach can identify geothermal up flow zones.
机译:我们将痕量元素地球化学和水文示踪运输分析结合起来,以识别新墨西哥州西南部的地热溢流区。我们用锂和硼化学分析分析了约1400-4000孔。大多数地热水含有升高的锂和硼浓度(> 0.5mg / 1),与储层温度弱相关。我们使用了可用的水表测量来构建水桌地图并计算地下水流动方向。我们使用了“upwinding”方法来通过浅含水层系统内的流场跟踪数学粒子。具有高示踪浓度的颗粒的区域通过具有低示踪浓度的孔可以表明地热上流区的存在。该方法适用于圣合欢附近的南方奥尔伯克盆地,南·恩格尔盆地附近的真相或后果,NM。虽然我们的方法在San acacia NM附近的印度井春天揭示了潜在地热上流区,但需要进行额外的工作来改进方法。还开发了一种用于定位示踪源的基于多种基于实现的方法。在该方法中,解决了Socorro-La jencia盆地区域的不同来源位置的八十次实现的平流扩散方程。通过将模拟示踪剂浓度与测量值进行比较,绘制了源似然图,识别出暂定源位置。发现Socorro-La jencia盆内的高热流区域在Socorro峰的基础上被发现具有局部最小值的模拟减去观察标准化的锂浓度的均匀平均断线。这表明我们的方法可以识别地热流区域。

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