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Evaluation of EGS Resources in the Eastern United States: Illinois, Michigan, Indiana, Western Ohio and Western Kentucky

机译:EGS在美国东部的EGS资源评估:伊利诺伊州,密歇根州,印第安纳州,西部俄亥俄州西部和肯塔基州

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The large amounts of data from oil and gas wells include bottom-hole temperature and depth of measurement. But these temperatures need to be corrected because of drilling disturbances and these data alone are not sufficient for heat flow calculation. The temperature data after correction may be used to determine the well gradient. In order to calculate heat flow the thermal conductivity of the lithologic section encountered in the well is also necessary. The stratigraphic columns from the AAPG COSUNA data set were used to determine the lithology of each well along with the AAPG sediment thickness map. Thermal conductivities were assigned for each different rock type based on previously published values. The thermal section data were used to calculate mean conductivity for each well and by combining this value with the BHT data, heat flow was calculated. A comparison of the calculated heat flow to published values gives an accuracy of +-20 in percent for most borehole groups. After filtering, this method has added approximately 800 data points in the states of Illinois, Indiana, Michigan, and Ohio. The new heat flow map shows some interesting correlations to geophysical data (gravity and magnetics) that may identify the lithology of the basement. The results support the hypothesis that heat flow variations can be inferred based on some characteristics of the geophysics of a given area. The new heat flow map is more detailed and has shown that areas of the Midwest for focused future research and geothermal development can be defined.
机译:来自油气井的大量数据包括底部孔温度和测量深度。但是由于钻井干扰,因此需要纠正这些温度,并且单独的这些数据不足以进行热流量计算。可以使用校正后的温度数据来确定井梯度。为了计算热流,也需要在井中遇到的岩性部分的导热率。来自AAPG Cosuna数据集的地层柱用于确定每个孔的岩性以及AAPG沉积物厚度图。基于先前公布的值,针对每个不同的岩型分配了热导体。热部分数据用于计算每个孔的平均导电性,并通过将该值与BHT数据组合,计算热流。计算的热流对公开值的比较,对大多数钻孔组的百分比具有+ -20的精度。过滤后,该方法在伊利诺伊州,印第安纳州,密歇根州和俄亥俄州的州增加了大约800个数据点。新的热流图显示了与可以识别地下室岩性的地球物理数据(重力和磁性)的一些有趣的相关性。结果支持假设,即可以基于给定区域的地球物理学的一些特征推断出热流变化。新的热流图更详细,并已经确定了用于未来的未来研究和地热发展的中西部地区。

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