空地一体化的地质碳封存泄露风险监测方法  

AIR-GROUND INTEGRATED MONITORING METHOD OF LEAKAGE RISK DURING GEOLOGICAL CARBON SEQUESTRATION

作　　者：杨慧[1] 范怀伟 王文峰[1,2] 张云惠 鞠玮 秦勇[1] YANG Hui;FAN Huaiwei;WANG Wenfeng;ZHANG Yunhui;JU Wei;QIN Yong(China University of Mining and Technology,Xuzhou 221116,China;Xinjiang University,Urumqi 830046,China;Xinjiang Uygur Autonomous Region Meteorological Observatory,Urumqi 830002,China)

机构地区：[1]中国矿业大学,徐州221116 [2]新疆大学,乌鲁木齐830046 [3]新疆维吾尔自治区气象台,乌鲁木齐830002

出　　处：《工程地质学报》2023年第4期1461-1473,共13页Journal of Engineering Geology

基　　金：新疆维吾尔自治区重点研发任务专项(资助号:2022B01012-1);第三次新疆综合科学考察项目(资助号:2022xjkk1006);国家自然科学基金面上项目(资助号:41971335).

摘　　要：为了有效验证和评估地质碳封存的持久性和安全性,本文设计空地一体化的地质碳封存区域泄露风险监测方法,并对封存区域的大气CO_(2)浓度时空变化进行了分析。以地质资料、CO_(2)地面站点数据、OCO-2卫星等数据为研究基础,以新疆维吾尔自治区准噶尔盆地油田碳封存区为研究区域,构建了空地一体化的地质碳封存泄露风险监测方案,设计了“特征提取-特征嵌入-距离度量-特征解码”的空地监测数据融合方法,设计可变密度的地表监测传感节点优化部署网络算法,或密集或稀疏地布设监测节点有效提高监测的准确性,处理OCO-2碳卫星数据分析封存区域大气CO_(2)自然背景浓度波动本底,基于局部近似回归法逐步逼近回归拟合并分离地表监测时序数据,实现全生命周期长期而持续的地表监测CO_(2)局域特征及浓度梯度场分布对比分析。结果表明,空地一体化的地质碳封存泄露地表监测方法,能有效优化CO_(2)地质封存区的传感监测节点部署,通过融合碳卫星观测数据实现地质碳封存泄露扩散场景的长期监测并追踪,为封存泄露过程的精准监测和预警提供科学数据基础,为落实地质负碳创新技术成效和有关政策制定提供重要数据支撑。In order to effectively validate and evaluate the persistence and safety of geological carbon sequestration,this study conducted long-term and continuous monitoring of leakage risks in geological carbon sequestration areas,and analyzed the spatio-temporal variation of atmospheric CO 2 concentrations.The research focused on oilfield injection areas with diverse terrain,geomorphology,and differentiated meteorological conditions.Utilizing geological data,CO 2 ground station data,OCO-2 satellite data,and other data sources as the research foundation,the study primarily focused on the oilfield carbon sequestration area in the Junggar Basin of the Xinjiang Uygur Autonomous Region.An integrated air-ground approach for monitoring the leakage risks of geological carbon sequestration was designed,incorporating a“feature extraction-feature embedding-distance measurement-feature decoding”method to integrate spatial and temporal monitoring data,as well as a network optimization algorithm for deploying surface monitoring sensor nodes with variable density to improve monitoring accuracy.The analysis of OCO-2 carbon satellite data was used to handle the fluctuation background of atmospheric CO 2 natural concentrations in the sequestration area.The localized approximate regression method was employed to gradually approach regression fitting and separate the time series data of surface monitoring,enabling comprehensive and long-term monitoring of local features and concentration gradient fields of surface CO 2 throughout the entire life cycle.The results indicate that the air-ground integrated monitoring method for geologic carbon sequestration leakage,combined with an algorithm that optimizes the deployment of sensing monitoring nodes in CO 2 geological sequestration areas through variable-density network optimization coverage,can effectively optimize the long-term monitoring and tracking of surface leakage scenarios of geologic carbon sequestration by integrating carbon satellite observation data and CO 2 ground station data

关 键 词：地质碳封存 地表监测 无线传感网络 优化部署 大气CO_(2)时空分布 

分 类 号：X701[环境科学与工程—环境工程]