{"id":59582,"date":"2023-03-10T06:00:02","date_gmt":"2023-03-09T22:00:02","guid":{"rendered":"http:\/\/learncmg.cn\/?p=59582"},"modified":"2023-03-10T06:00:02","modified_gmt":"2023-03-09T22:00:02","slug":"241-%e5%9f%ba%e4%ba%8e%e5%ad%a6%e4%b9%a0%e7%9a%84%e5%8f%8d%e6%bc%94%e9%a2%84%e6%b5%8b%e6%8a%80%e6%9c%af%e8%bf%9b%e8%a1%8cco2%e5%9c%b0%e8%b4%a8%e5%b0%81%e5%ad%98%e9%87%8f%e5%87%86%e7%a1%ae%e5%bf%ab","status":"publish","type":"post","link":"http:\/\/learncmg.cn\/?p=59582","title":{"rendered":"241. \u57fa\u4e8e\u5b66\u4e60\u7684\u53cd\u6f14\u9884\u6d4b\u6280\u672f\u8fdb\u884cCO2\u5730\u8d28\u5c01\u5b58\u91cf\u51c6\u786e\u5feb\u901f\u9884\u6d4b"},"content":{"rendered":"<h1><a href=\"https:\/\/www.researchgate.net\/profile\/Matt-Burton-Kelly\/publication\/357777805_Accurate_and_Rapid_Forecasts_for_Geologic_Carbon_Storage_via_Learning-Based_Inversion-Free_Prediction\/links\/61df05fe034dda1b9ef1941f\/Accurate-and-Rapid-Forecasts-for-Geologic-Carbon-Storage-via-Learning-Based-Inversion-Free-Prediction.pdf?origin=publication_detail\">Accurate and Rapid Forecasts for Geologic Carbon Storage\u00a0via\u00a0Learning-Based Inversion-Free Prediction<\/a><\/h1>\n<p><span style=\"color: #800080;\">\u78b3\u6355\u83b7\u548c\u50a8\u5b58\uff08CCS\uff09\u662f\u7f8e\u56fd\u80fd\u6e90\u90e8\u6b63\u5728\u7814\u7a76\u7684\u4e00\u79cd\u5e2e\u52a9\u51cf\u7f13\u5168\u7403\u53d8\u6696\u7684\u65b9\u6cd5\u3002\u8be5\u8fc7\u7a0b\u5305\u62ec\u6355\u83b7\u5de5\u4e1a\u6e90\u7684\u4e8c\u6c27\u5316\u78b3\u6392\u653e\uff0c\u5e76\u5c06\u5176\u6c38\u4e45\u5c01\u5b58\u5728\u6df1\u5c42\u5730\u8d28\u5730\u5c42\uff08\u50a8\u5c42\uff09\u4e2d\u3002\u7136\u800c\uff0cCCS\u9879\u76ee\u901a\u5e38\u4ee5\u201c\u65b0\u50a8\u5c42\u201d\u4e3a\u76ee\u6807\uff0c\u901a\u5e38\u5f88\u5c11\u6709\u8868\u5f81\u6570\u636e\uff0c\u56e0\u6b64\u50a8\u5c42\u7684\u5ca9\u77f3\u7269\u7406\u5c5e\u6027\u548c\u5176\u4ed6\u5730\u8d28\u5c5e\u6027\u5b58\u5728\u5f88\u5927\u7684\u4e0d\u786e\u5b9a\u6027\u3002<\/span><br \/>\n<span style=\"color: #800080;\">\u96c6\u5408\u65b9\u6cd5\u901a\u5e38\u88ab\u7528\u4e8e\u5728CO2\u6ce8\u5165\u4e4b\u524d\u9884\u6d4b\u591a\u4e2a\u5b9e\u73b0\uff0c\u4ee5\u53ef\u89c6\u5316\u4e00\u7cfb\u5217\u6f5c\u5728\u7ed3\u679c\u3002\u6b64\u5916\uff0c\u6ce8\u5165\u64cd\u4f5c\u671f\u95f4\u7684\u76d1\u6d4b\u6570\u636e\u7528\u4e8e\u66f4\u65b0\u6ce8\u5165\u524d\u9884\u6d4b\uff0c\u4ece\u800c\u63d0\u9ad8\u9884\u6d4b\u548c\u89c2\u6d4b\u6570\u636e\u4e4b\u95f4\u7684\u4e00\u81f4\u6027\u3002\u4e00\u4e2a\u7528\u4e8e\u51c6\u786e\u3001\u53ca\u65f6\u5730\u9884\u6d4b\u50a8\u5c42\u5185\u7684\u538b\u529b\u79ef\u805a\u3001CO2\u8fd0\u79fb\u548c\u5206\u5e03\u4ee5\u53ca\u901a\u8fc7\u6d4b\u91cf\u6570\u636e\u66f4\u65b0\u9884\u6d4b\u7cfb\u7edf\u53d8\u5f97\u81f3\u5173\u91cd\u8981\u3002<\/span><br \/>\n<span style=\"color: #800080;\">\u672c\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u5b66\u4e60\u7684\u9884\u6d4b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u51c6\u786e\u3001\u5feb\u901f\u5730\u9884\u6d4bCO2\u6d53\u5ea6\u548c\u538b\u529b\u7684\u7a7a\u95f4\u5206\u5e03\uff0c\u5e76\u8fdb\u884c\u4e0d\u786e\u5b9a\u6027\u91cf\u5316\uff0c\u800c\u4e0d\u4f9d\u8d56\u4e8e\u4f20\u7edf\u7684\u53cd\u5411\u6a21\u62df\u3002\u673a\u5668\u5b66\u4e60\u6280\u672f\u5305\u62ec\u964d\u7ef4\u3001\u591a\u53d8\u91cf\u6570\u636e\u5206\u6790\u548c\u8d1d\u53f6\u65af\u5b66\u4e60\u3002\u9884\u8ba1\u8be5\u7ed3\u679c\u5c06\u4e3aCO2\u5c01\u5b58\u4f5c\u4e1a\u8005\u63d0\u4f9b\u4e00\u4e2a\u6709\u6548\u7684\u5de5\u5177\uff0c\u4ee5\u4fbf\u6839\u636e\u6709\u9650\u7684\u6a21\u62df\u548c\u76d1\u6d4b\u6570\u636e\u53ca\u65f6\u505a\u51fa\u79d1\u5b66\u51b3\u7b56\u3002<\/span><\/p>\n<h2>Abstract<\/h2>\n<p>Carbon capture and storage (CCS) is one approach being studied by the U.S. Department of Energy to help mitigate global warming. The process involves capturing CO2\u00a0emissions from industrial sources and permanently storing them in deep geologic formations (storage reservoirs). However, CCS projects generally target \u201cgreen field sites,\u201d where there is often little characterization data and therefore large uncertainty about the petrophysical properties and other geologic attributes of the storage reservoir.<br \/>\nConsequently, ensemble-based approaches are often used to forecast multiple realizations prior to CO2\u00a0injection to visualize a range of potential outcomes. In addition, monitoring data during injection operations are used to update the pre-injection forecasts and thereby improve agreement between forecasted and observed behavior. Thus, a system for generating accurate, timely forecasts of pressure buildup and CO2\u00a0movement and distribution within the storage reservoir and for updating those forecasts\u00a0via\u00a0monitoring measurements becomes crucial.<br \/>\nThis study proposes a learning-based prediction method that can accurately and rapidly forecast spatial distribution of CO2\u00a0concentration and pressure with uncertainty quantification without relying on traditional inverse modeling. The machine learning techniques include dimension reduction, multivariate data analysis, and Bayesian learning. The outcome is expected to provide CO2\u00a0storage site operators with an effective\u00a0tool for timely and informative decision making based on limited simulation and monitoring data.<br \/>\n<img class=\"wp-image-59583\" src=\"http:\/\/learncmg.cn\/wp-content\/uploads\/2023\/03\/word-image-59582-1.png\" \/> <img class=\"wp-image-59584\" src=\"http:\/\/learncmg.cn\/wp-content\/uploads\/2023\/03\/word-image-59582-2.png\" \/> <img class=\"wp-image-59585\" src=\"http:\/\/learncmg.cn\/wp-content\/uploads\/2023\/03\/word-image-59582-3.png\" \/> <img class=\"wp-image-59586\" src=\"http:\/\/learncmg.cn\/wp-content\/uploads\/2023\/03\/word-image-59582-4.png\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Accurate and Rapid Forecasts for Geologic Carbon S<span class=\"more-link\"><a href=\"http:\/\/learncmg.cn\/?p=59582\">Continue Reading<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[159],"tags":[251],"_links":{"self":[{"href":"http:\/\/learncmg.cn\/index.php?rest_route=\/wp\/v2\/posts\/59582"}],"collection":[{"href":"http:\/\/learncmg.cn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/learncmg.cn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/learncmg.cn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/learncmg.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=59582"}],"version-history":[{"count":0,"href":"http:\/\/learncmg.cn\/index.php?rest_route=\/wp\/v2\/posts\/59582\/revisions"}],"wp:attachment":[{"href":"http:\/\/learncmg.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=59582"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/learncmg.cn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=59582"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/learncmg.cn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=59582"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}