首页|基于加权信息量模型的川西高原地热潜力预测

基于加权信息量模型的川西高原地热潜力预测

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川西高原是中国重要的高温地热资源富集区,地热资源十分丰富,开发潜力大.但目前对于川西高原地热潜力分布认识仍较为匮乏.基于川西高原公开可获得地热点(温泉)、断裂、花岗岩、地表温度、布格重力异常、航磁异常、地震等影响因子数据,建立川西高原加权信息量模型.地热点与影响因子的空间分析结果表明,地热点与到断裂和花岗岩距离呈负相关,与较高的地表温度、较低的航磁异常、较高的布格重力异常和较低的古登堡-里克特b值存在明显的空间相关性.模型预测结果显示,川西高原康定、理塘、巴塘等地具有较高的地热潜力,川西高原地热资源勘探开发应重点围绕上述地区开展.而甘孜、白玉、新龙、炉霍、道孚、得荣和丹巴等地区也表现出一定的地热潜力,在今后的地热勘探中应予以重视.
Predicting geothermal resource potential of western Sichuan Plateau based on weighted information model
The western Sichuan Plateau is an important region for high-temperature geothermal resources in China.However,our current understanding of the distribution of the geothermal potential of the area remains limited.This study uses publicly available data on geothermal hotspots(hot springs),faults,granites,the surface temperature,anomalies in the Bouguer gravity,aeromagnetic anomalies,and seismic factors in the western Sichuan Plateau to establish a weighted information modelto assess the potential of geothermal resources in the western Sichuan Plateau.The results of a spatial analysis showed that geothermal hotspots in the area were negatively correlated with the distances to faults and granites,and exhibited a significant spatial correlation with high land surface temperatures,low aeromagnetic anomalies,high anomalies in the Bouguer gravity,and low Gutenberg-Richter b-values.The model predicted that Kangding,Litang,and Batang had a high geothermal potential,and should thus form the focus of geothermal exploration and development in the western Sichuan Plateau.Moreover,Ganzi,Baiyu,Xinlong,Luhuo,Daofu,Derong,and Danba exhibited considerable geothermal potential,and should be considered for geothermal exploration activities in the future.

geothermal resourcesweighted information modeltarget optimizationwestern Sichuan Plateau

黄荣华、张超、姜光政、张浩竹、时欣磊

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成都理工大学能源学院(页岩气现代产业学院),成都 610059

油气藏地质及开发工程全国重点实验室(成都理工大学),成都 610059

地热资源 加权信息量模型 靶区优选 川西高原

四川省科技计划国家自然科学基金项目国家自然科学基金项目国家自然科学基金项目国家自然科学基金项目

2023NSFSC025242102337420740964213080952192622

2024

成都理工大学学报(自然科学版)
成都理工大学

成都理工大学学报(自然科学版)

CSTPCD北大核心
影响因子:1.596
ISSN:1671-9727
年,卷(期):2024.51(5)