选择合适的地温仪,以更高的精度预测地下温度:基于全球分布地热场数据的研究

IF 3.5 2区 工程技术 Q3 ENERGY & FUELS Geothermics Pub Date : 2024-07-02 DOI:10.1016/j.geothermics.2024.103088
Vaibhavi Y. Taide , Rajib K. Sinharay , Hrishikesh K. Chavan , Datta B. Dandge
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引用次数: 0

摘要

地热省的地下储层温度通常使用各种地温计进行估算,但有必要对这些地温计的适用性进行研究。目前的工作研究了五种常用地温计的性能,即 Na-K、Na-K-Ca、石英、玉髓和 K-Mg,以预测位于世界不同地区的 148 个地热泉的储层温度。结果表明,特定地温计的性能受地热储层岩石类型的影响很大。Na-K 地温计对玄武岩和砂岩储层岩石的预测精度最高,平均误差分别为 15% 和 11%。石英地温度计对砂岩的预测也几乎同样准确。花岗岩储集岩的最佳结果是 Na-K-Ca,平均误差约为 15%。碳酸盐储层岩是最难使用任何地温计的储层岩,因为使用任何地温计预测的最低误差约为 26%。玉髓在所有地温计中表现最差,不建议用于任何储层岩石类型。因此,对全球地热田的研究表明,在选择地温度计时必须考虑储层岩石类型,否则可能会导致储层温度预测误差非常大。然而,没有一种地温计的误差能小于 10%。值得注意的是,本研究虽然确定了地温计对特定岩性的适用性,但并未探讨这种适用性的理由。
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Selection of suitable geothermometers for predicting the subsurface temperatures with higher accuracy: A study based on globally distributed geothermal field data

Subsurface reservoir temperature of a geothermal province is popularly estimated using various geothermometers but it is necessary to examine the suitability of them. Present work studies the performances of five popular geothermometers Na-K, Na-K-Ca, Quartz, Chalcedony and K-Mg to forecast the reservoir temperature of 148 geothermal springs located in different parts of the world. The predicted temperature of the geothermometers have been compared with the bottom whole temperature (BHT) of the wells drilled in those geothermal fields to check the accuracy of the predictions.

The results show that performance of a particular geothermometer is significantly affected by the type of rocks in a geothermal reservoir. Na-K geothermometer provides highest accuracy for the basaltic and sandstone reservoir rocks with average errors 15 % and 11 % respectively. The quartz geothermometer also provides almost equally good prediction for sandstone. The best result for a granitic reservoir rock is obtained by Na-K-Ca with an average error about 15 %. The carbonate reservoir rocks are the most difficult reservoir rock to use any geothermometer as lowest error of prediction using any geothermometer is about 26 %. The chalcedony performed the poorest among all geothermometers and is not recommended for any reservoir rock types under considerations. Thus, the study on global geothermal fields shows that the reservoir rock type must be considered to select a geothermometer else it may cause very high error in prediction of reservoir temperature. However, none of the geothermometer could produce error less than 10 %. It is worth noting that the present study though establishes the suitability of a geothermometer for a particular lithology, it does not explore the rationale for such a suitability.

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来源期刊
Geothermics
Geothermics 工程技术-地球科学综合
CiteScore
7.70
自引率
15.40%
发文量
237
审稿时长
4.5 months
期刊介绍: Geothermics is an international journal devoted to the research and development of geothermal energy. The International Board of Editors of Geothermics, which comprises specialists in the various aspects of geothermal resources, exploration and development, guarantees the balanced, comprehensive view of scientific and technological developments in this promising energy field. It promulgates the state of the art and science of geothermal energy, its exploration and exploitation through a regular exchange of information from all parts of the world. The journal publishes articles dealing with the theory, exploration techniques and all aspects of the utilization of geothermal resources. Geothermics serves as the scientific house, or exchange medium, through which the growing community of geothermal specialists can provide and receive information.
期刊最新文献
Fracture caging in a lab fault to prevent seismic rupture during fluid injection Surface heat loss assessment at the Waiotapu Geothermal Field, Taupo Volcanic Zone, New Zealand Notably high salinity of geothermal water in the coastal area in Hainan Island, China, predominantly dominated by tectonic activities The EGS Collab project: Outcomes and lessons learned from hydraulic fracture stimulations in crystalline rock at 1.25 and 1.5 km depth A novel machine learning approach for reservoir temperature prediction
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