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首页> 外文会议>Workshop on Geothermal Reservoir Engineering >A Framework for Comparative Inverse Modeling of Tracers for Thermal Breakthrough Forecasting Using Fracture Network Models
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A Framework for Comparative Inverse Modeling of Tracers for Thermal Breakthrough Forecasting Using Fracture Network Models

机译：采用裂缝网络模型进行热突破预测的示踪剂比较逆建模的框架

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Nanoparticle tracers are being investigated as a potential tool to measure or infer temperature distributions in geothermal reservoirs. If the temperature distributions could be measured more precisely, this would greatly enhance the power and accuracy of thermal breakthrough forecasting, which would in turn inform reservoir engineering and field management decisions. The overall objective of this work is to rank the informativity of various tracer candidates using modeling to aid in the design of smart nanotracers. The design of temperature-sensitive tracers is built around the design of the temperature sensing mechanism. In other words, the mechanism by which temperature is measured and the form and resolution of the resulting data, or response, have a profound impact on how informative that tracer can be about thermal breakthrough. Therefore, it is important to model the responses of candidate tracers in the context of an inverse problem to determine their relative informativity. A framework for inverse modeling was constructed in order to match synthetic data provided by conservative solute tracers (CSTs) and hypothetical temperature-time tracers (TTTs) with the objective of comparing the two classes of tracer in the context of the ability to forecast thermal breakthrough. It is shown that CST data can be matched very well by a fracture network with a different topology from the true fracture network.
机译：正在研究纳米粒子示踪剂作为测量或推断地热储层中的温度分布的潜在工具。如果可以更准确地测量温度分布，这将极大地提高热突破预测的功率和​​准确性，这将依次通知水库工程和现场管理决策。这项工作的总体目标是使用建模对各种示踪候选者的信息进行排名，以帮助智能纳米间或设计。温度敏感示踪剂的设计围绕温度传感机构的设计构建。换句话说，测量温度的机制以及所得数据的形式和分辨率，或响应，对追踪器可以是热突破的信息的深远影响。因此，重要的是在逆问题的背景下模拟候选示踪剂的响应，以确定它们的相对信息性。构建了逆建模的框架，以匹配由保守溶质示踪剂（CSTS）和假设的温度时间示踪剂（TTTS）提供的合成数据，其目的是在预测热突破的能力的背景下比较两类示踪剂。结果表明，CST数据可以通过具有来自真正裂缝网络的不同拓扑的裂缝网络非常好。

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