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首页> 外文期刊>Remote Sensing >Combination of Well-Logging Temperature and Thermal Remote Sensing for Characterization of Geothermal Resources in Hokkaido, Northern Japan
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Combination of Well-Logging Temperature and Thermal Remote Sensing for Characterization of Geothermal Resources in Hokkaido, Northern Japan

机译：测井温度与热遥感的结合用于日本北海道地热资源的表征

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Geothermal resources have become an increasingly important source of renewable energy for electrical power generation worldwide. Combined Three Dimension (3D) Subsurface Temperature (SST) and Land Surface Temperature (LST) measurements are essential for accurate assessment of geothermal resources. In this study, subsurface and surface temperature distributions were combined using a dataset comprised of well logs and Thermal Infrared Remote sensing (TIR) images from Hokkaido island, northern Japan. Using 28,476 temperature data points from 433 boreholes sites and a method of Kriging with External Drift or trend (KED), SST distribution model from depths of 100 to 1500 m was produced. Regional LST was estimated from 13 scenes of Landsat 8 images. Resultant SST ranged from around 50 °C to 300 °C at a depth of 1500 m. Most of western and part of the eastern Hokkaido are characterized by high temperature gradients, while low temperatures were found in the central region. Higher temperatures in shallower crust imply the western region and part of the eastern region have high geothermal potential. Moreover, several LST zones considered to have high geothermal potential were identified upon clarification of the underground heat distribution according to 3D SST. LST in these zones showed the anomalies, 3 to 9 °C higher than the surrounding areas. These results demonstrate that our combination of TIR and 3D temperature modeling using well logging and geostatistics is an efficient and promising approach to geothermal resource exploration.
机译：地热资源已成为全球范围内越来越重要的可再生能源，用于发电。三维（3D）地下温度（SST）和陆地表面温度（LST）的组合测量对于准确评估地热资源至关重要。在这项研究中，地下和地表温度分布是使用一个数据集组合的，该数据集由测井记录和来自日本北部北海道岛的热红外遥感（TIR）图像组成。利用来自433个钻孔位置的28,476个温度数据点和一种采用外部漂移或趋势进行Kriging的方法（KED），建立了100至1500 m深度的SST分布模型。区域L​​ST是根据Landsat 8幅图像的13个场景估算的。在1500 m深度处，最终的SST范围从50°C到300°C。北海道西部和东部大部分地区的特征是高温梯度，而中部地区则发现低温。地壳浅层的高温意味着西部地区和东部地区的部分地区具有较高的地热潜力。此外，根据3D SST，在澄清了地下热量分布后，确定了几个具有较高地热潜力的LST区。这些区域的LST表现出异常，比周围地区高3至9°C。这些结果表明，我们结合使用测井和地统计学的TIR和3D温度模型，是一种有效且有前途的地热资源勘探方法。

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