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A BME solution of the stochastic three-dimensional Laplace equation representing a geothermal field subject to site-specific information

机译:三维三维拉普拉斯方程的BME解,表示受特定地点信息影响的地热场

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This work develops a model of the geothermal field in the Nea Kessani region (Greece) by means of the Bayesian maximum entropy (BME) method, which describes the temperature variations across space in the underground geological formations. The geothermal field is formed by a thermal reservoir consisting of arcosic sandstones. The temperature distribution vs depth was first investigated by the Greek Institute of Geology and Mineral Exploration (IGME) using measurements in a set of vertical drill holes. These measurements showed that hot fluids rising from the deep enter the reservoir in a restricted area of the field and flow towards local thermal springs. The field modelling, which was based on the powerful BME concept, involves the solution of a stochastic partial differential equation that assimilates important site-specific information. The stochastic three-dimensional steady-state Laplace equation was considered as general knowledge and the drilling exploration data were used to construct the specificatory knowledge base in the BME terminology. The produced map is more informative and, in general, it gives higher temperature estimates compared to previous studies of the same region. This is also in agreement with the quartz geothermometry analysis carried out by IGME.
机译:这项工作通过贝叶斯最大熵(BME)方法开发了Nea Kessani地区(希腊)的地热场模型,该模型描述了地下地质构造中整个空间的温度变化。地热场是由一个由弧形砂岩组成的储层形成的。温度分布与深度的关系最初是由希腊地质矿产勘查研究所(IGME)使用一组垂直钻孔中的测量值进行研究的。这些测量结果表明,从深处升起的热流体在油田的有限区域内进入储层,并流向局部温泉。基于强大的BME概念的现场建模涉及随机偏微分方程的求解,该方程可吸收重要的特定地点信息。随机的三维稳态拉普拉斯方程被认为是常识,并且使用钻井勘探数据来构建BME术语中的特殊知识库。与相同区域的先前研究相比,所生成的地图更具参考价值,并且通常提供更高的温度估计。这也与IGME进行的石英地热测定分析一致。

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