院报 ›› 2020, Vol. 37 ›› Issue (3): 32-36.DOI: 10.11988/ckyyb.20181276

• 水资源与环境 • 上一篇    下一篇

信息融合型页岩气开采区含水层富水性预测——以凤冈区块为例

李博1,2, 王先庆2, 彭雄武2   

  1. 1.贵州大学 喀斯特地质资源与环境教育部重点实验室,贵阳 550000;
    2.贵州大学 资源与环境工程学院,贵阳 550000
  • 收稿日期:2018-12-03 出版日期:2020-03-01 发布日期:2020-05-09
  • 作者简介:李 博(1982-),男,河南南阳人,副教授,博士,主要从事岩溶水文地质方面的研究。E-mail:libo1512@163.com
  • 基金资助:
    国家自然科学基金项目(41702270);贵州省科学技术基金项目(黔科合基础1413);贵州省科技计划项目(黔科合平台人才5788);贵州省教育厅青年科技人才项目(黔教合KY字113)

Assessing Water Abundance of Karst Aquifer in Shale Gas Exploitation Area Using GIS and Multi-source Information Fusion Technology:Case Study on Fenggang Shale Gas Area

LI Bo1,2, WANG Xian-qing2, PENG Xiong-wu2   

  1. 1. Key Laboratory of Karst Georesources and Environment of Ministry of Education, Guizhou University, Guiyang 550000, China;
    2.College of Resources and Environmental Engineering, Guizhou University, Guiyang 550000, China
  • Received:2018-12-03 Online:2020-03-01 Published:2020-05-09

摘要: 页岩气在开采过程中不但容易污染地下水资源,而且还需要大量的水资源来保障水力压裂技术的用水量,因此预测页岩气开采区的地下水富水性对于合理保护和利用页岩气开采区的地下水资源具有重要的意义。在总结岩溶地区含水层富水性主要控制因素的基础上,利用层次分析方法(AHP)建立了融合多源信息的含水层富水性评价模型,确定了因素权重,然后利用地理信息系统(GIS)技术的信息处理和空间展示功能制作了各富水性影响因素专题图,并对各专题图进行了信息融合叠加,最终完成了凤冈页岩气开采区的含水层富水性评价预测。基于GIS技术的信息融合型含水层富水性评价方法可以有效地反映含水层富水性这一受控于多因素影响且具有非常复杂形成机理的非线性动力现象,可为页岩气开采区的地下水资源利用与保护提供依据。

关键词: 页岩气, 富水性, 含水层, 多源信息融合, GIS, AHP, 评价模型

Abstract: The exploitation of shale gas requires large amount of water for hydraulic fracturing on one hand, and easily pollutes groundwater on the other. Estimating the abundance of groundwater in shale gas exploitation area is of vital significance for the protection and utilization of groundwater. In this research, an assessment model for the water abundance of aquifer in karst region is built integrating multi-source information using Analytical Hierarchy Process (AHP). The influential factors of the model include unit water yield, permeability coefficient, coring rate, aquifer thickness, fault and fold distribution, and fault scale index. The weights of these factors are given, and semantic maps of these factors are acquired based on the information processing and spatial display functions of GIS technology. The zoning map of water abundance of aquifer can be obtained through fusion of the aforementioned semantic maps. GIS-based information fusion is effective in reflecting the nonlinear dynamics of aquifer’s water abundance which is controlled by multiple factors with complicated mechanism. The research method offers a reference for the groundwater utilization and protection in shale gas exploitation area.

Key words: shale gas, water abundance, aquifer, multi-source information fusion, GIS, AHP, assessment model

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