Weifeng LYU , Yushu LI , Mingyuan WANG , Qianguo LIN , Ninghong JIA , Zemin JI , Chang HE
{"title":"空间信息技术在二氧化碳封存监测中的应用和前景","authors":"Weifeng LYU , Yushu LI , Mingyuan WANG , Qianguo LIN , Ninghong JIA , Zemin JI , Chang HE","doi":"10.1016/S1876-3804(24)60501-X","DOIUrl":null,"url":null,"abstract":"<div><p>This paper systematically reviews the current applications of various spatial information technologies in CO<sub>2</sub> sequestration monitoring, analyzes the challenges faced by spatial information technologies in CO<sub>2</sub> sequestration monitoring, and prospects the development of spatial information technologies in CO<sub>2</sub> sequestration monitoring. Currently, the spatial information technologies applied in CO<sub>2</sub> sequestration monitoring mainly include five categories: eddy covariance method, remote sensing technology, geographic information system, Internet of Things technology, and global navigation satellite system. These technologies are involved in three aspects: monitoring data acquisition, positioning and data transmission, and data management and decision support. Challenges faced by the spatial information technologies in CO<sub>2</sub> sequestration monitoring include: selecting spatial information technologies that match different monitoring purposes, different platforms, and different monitoring sites; establishing effective data storage and computing capabilities to cope with the broad sources and large volumes of monitoring data; and promoting collaborative operations by interacting and validating spatial information technologies with mature monitoring technologies. In the future, it is necessary to establish methods and standards for designing spatial information technology monitoring schemes, develop collaborative application methods for cross-scale monitoring technologies, integrate spatial information technologies with artificial intelligence and high-performance computing technologies, and accelerate the application of spatial information technologies in carbon sequestration projects in China.</p></div>","PeriodicalId":67426,"journal":{"name":"Petroleum Exploration and Development","volume":"51 3","pages":"Pages 727-740"},"PeriodicalIF":7.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S187638042460501X/pdf?md5=1592c48167d3b617614fa1188f9a4fec&pid=1-s2.0-S187638042460501X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Application and prospects of spatial information technology in CO2 sequestration monitoring\",\"authors\":\"Weifeng LYU , Yushu LI , Mingyuan WANG , Qianguo LIN , Ninghong JIA , Zemin JI , Chang HE\",\"doi\":\"10.1016/S1876-3804(24)60501-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper systematically reviews the current applications of various spatial information technologies in CO<sub>2</sub> sequestration monitoring, analyzes the challenges faced by spatial information technologies in CO<sub>2</sub> sequestration monitoring, and prospects the development of spatial information technologies in CO<sub>2</sub> sequestration monitoring. Currently, the spatial information technologies applied in CO<sub>2</sub> sequestration monitoring mainly include five categories: eddy covariance method, remote sensing technology, geographic information system, Internet of Things technology, and global navigation satellite system. These technologies are involved in three aspects: monitoring data acquisition, positioning and data transmission, and data management and decision support. Challenges faced by the spatial information technologies in CO<sub>2</sub> sequestration monitoring include: selecting spatial information technologies that match different monitoring purposes, different platforms, and different monitoring sites; establishing effective data storage and computing capabilities to cope with the broad sources and large volumes of monitoring data; and promoting collaborative operations by interacting and validating spatial information technologies with mature monitoring technologies. In the future, it is necessary to establish methods and standards for designing spatial information technology monitoring schemes, develop collaborative application methods for cross-scale monitoring technologies, integrate spatial information technologies with artificial intelligence and high-performance computing technologies, and accelerate the application of spatial information technologies in carbon sequestration projects in China.</p></div>\",\"PeriodicalId\":67426,\"journal\":{\"name\":\"Petroleum Exploration and Development\",\"volume\":\"51 3\",\"pages\":\"Pages 727-740\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S187638042460501X/pdf?md5=1592c48167d3b617614fa1188f9a4fec&pid=1-s2.0-S187638042460501X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Petroleum Exploration and Development\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S187638042460501X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Petroleum Exploration and Development","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S187638042460501X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Application and prospects of spatial information technology in CO2 sequestration monitoring
This paper systematically reviews the current applications of various spatial information technologies in CO2 sequestration monitoring, analyzes the challenges faced by spatial information technologies in CO2 sequestration monitoring, and prospects the development of spatial information technologies in CO2 sequestration monitoring. Currently, the spatial information technologies applied in CO2 sequestration monitoring mainly include five categories: eddy covariance method, remote sensing technology, geographic information system, Internet of Things technology, and global navigation satellite system. These technologies are involved in three aspects: monitoring data acquisition, positioning and data transmission, and data management and decision support. Challenges faced by the spatial information technologies in CO2 sequestration monitoring include: selecting spatial information technologies that match different monitoring purposes, different platforms, and different monitoring sites; establishing effective data storage and computing capabilities to cope with the broad sources and large volumes of monitoring data; and promoting collaborative operations by interacting and validating spatial information technologies with mature monitoring technologies. In the future, it is necessary to establish methods and standards for designing spatial information technology monitoring schemes, develop collaborative application methods for cross-scale monitoring technologies, integrate spatial information technologies with artificial intelligence and high-performance computing technologies, and accelerate the application of spatial information technologies in carbon sequestration projects in China.