摘要
CO_(2)地质封存是实现碳中和与改善当前气候问题的有效手段。中国的CO_(2)地质封存工作起步较晚,封存选址的指标体系仍不完善。本研究根据目前国内外已有研究成果和工程实践,在陆地封存方面,考虑了区域级、盆地级、目标区级/靶区级、场地级和灌注级5个级别/尺度,以及油气藏、煤层和深部咸水层这3种储层类型,梳理了27类工程地质基本指标、44类封存潜力基本指标和12类社会经济基本指标,在海洋封存方面,共统计了25类选址指标;在此基础上,优选了44类油气藏特征指标、24类煤层特征指标和31类深部咸水层特征指标,归纳了CO_(2)地质封存中的地质环境风险、工程环境风险、生态环境风险和社会经济风险4类风险监测指标,绘制了8组CO_(2)地质封存选址分类分级指标图和9组选址指标适宜性评价表,建立了完备的选址指标体系,最后对未来通过机器学习建立智能评价体系进行了展望。本研究为不同级别和尺度、不同类型储层的CO_(2)地质封存选址提供参考,为未来进一步寻找关键指标、优化指标体系并开展实际应用奠定基础。
CO_(2) geological storage is an effective means to achieve carbon neutrality and improve current climate issues.The geological storage of CO_(2) was carried out a little late in China,and the index system of storage site selection is still not perfect.In this paper,we sort out 27 types of engineering geological basic indexes,44 types of storage potential basic indexes and 12 types of socio-economic basic indexes based on existing research results and engineering practice at home and abroad.Furthermore,5 levels/scales are considered which include regional level,basin level,target area level,site level and injection level and three types of reservoirs which contain oil and gas reservoir,coal seam and deep saline aquifer.In terms of ocean storage,we count 25 categories of site selection indexes.On these bases,44 types of oil and gas reservoir characteristic indexes,24 types of coal seams characteristic indexes and 31 types of deep saline aquifers characteristic indexes are selected,4 types of risk monitoring indexes of geological environmental risk,engineering environmental risk,ecological environmental risk and socio-economic risk in CO_(2) geological storage are summarized,8 groups of site-selection classification and grading indexes maps and 9 groups of site-selection indexes suitability evaluation tables are drawn,and the site selection index system is optimized.Finally,an outlook on the future establishment of an intelligent evaluation system through machine learning is envisioned,and this study provides a reference for siting CO_(2) geological storage at different levels and scales and in different types of reservoirs,which can lay a foundation for further finding key indicators,optimizing index system and practical application in the future.
作者
祁生文
郑博文
路伟
王赞
郭松峰
QI Shengwen;ZHENG Bowen;LU Wei;WANG Zan;GUO Songfeng(Key Laboratory of Shale Gas and Geoengineering,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029;Innovation Academy for Earth Science,Chinese Academy of Sciences,Beijing 100029;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049)
出处
《第四纪研究》
CAS
CSCD
北大核心
2023年第2期523-550,共28页
Quaternary Sciences
基金
国家自然科学基金项目(批准号:42141009)
中国科学院地质与地球物理研究所重点部署项目(批准号:IGGCAS-202201)共同资助。
关键词
CO_(2)地质封存
工程地质
选址指标
适宜性评价
CO_(2)geological storage
engineering geology
site selection indexes
suitability evaluation
