{"id":13729,"date":"2018-08-10T20:01:57","date_gmt":"2018-08-10T20:01:57","guid":{"rendered":"https:\/\/edx.netl.doe.gov\/wpsandbox\/?page_id=13729"},"modified":"2024-02-29T15:22:41","modified_gmt":"2024-02-29T20:22:41","slug":"home-image","status":"publish","type":"page","link":"https:\/\/edx.netl.doe.gov\/sites\/smart\/","title":{"rendered":"Home"},"content":{"rendered":"

The Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART) Initiative<\/strong> is a ten-year, multi-organizational effort with the goal of transforming interactions within the subsurface and significantly improving efficiency and effectiveness of field-scale carbon storage and unconventional oil and gas operations.<\/p>\n

The three goals of this initiative are to employ creative approaches to enable:<\/p>\n<\/div>

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Real-Time Visualization of key subsurface features and flows<\/strong><\/p>\n<\/div>

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Virtual Learning for rapid prediction of reservoir behavior<\/strong><\/p>\n<\/div>

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Real-Time Forecasting of actively managed carbon storage systems<\/strong><\/p>\n<\/div>

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\r\n\t\t\r\n\t\t\t\"SMART\r\n\t\t<\/a>\r\n\t<\/div>\r\n\t\r\n\t
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\r\n\t\t\tSMART Team Meets at the 2024 NETL-FECM Program Review Meeting<\/a>\r\n\t\t<\/h2>\r\n\r\n\t\t\t\t
\r\n\t\t\tNovember 21, 2024\t\t<\/div>\r\n\t\t\t\t
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\r\n\t\t\r\n\t\t\t\"Celebrating\r\n\t\t<\/a>\r\n\t<\/div>\r\n\t\r\n\t
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\r\n\t\t\tCelebrating Excellence: SMART Participant Honored with the Reginald Fessenden Award<\/a>\r\n\t\t<\/h2>\r\n\r\n\t\t\t\t
\r\n\t\t\tOctober 7, 2024\t\t<\/div>\r\n\t\t\t\t
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\r\n\t\t\r\n\t\t\t\"DOE\/NETL\r\n\t\t<\/a>\r\n\t<\/div>\r\n\t\r\n\t
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\r\n\t\t\tDOE\/NETL SMART Technical Advisory Group member publishes book: Artificial Intelligence and Data Analytics for Energy Exploration and Production<\/a>\r\n\t\t<\/h2>\r\n\r\n\t\t\t\t
\r\n\t\t\tSeptember 23, 2022\t\t<\/div>\r\n\t\t\t\t
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<\/div>\r\n\r\n\t\t\t\t\t\tRead More<\/a>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n<\/div>
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\r\n\t\t\tApplication of Automated Machine Learning (AML) to Predict Fracture Intensity Using High Frequency Drilling Vibration Data<\/a>\r\n\t\t<\/h2>\r\n\r\n\t\t\t\t
\r\n\t\t\tMay 13, 2022\t\t<\/div>\r\n\t\t\t\t
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<\/div>\r\n\r\n\t\t\t\t\t\tRead More<\/a>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t<\/div>\r\n<\/div>\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t
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Learn More About SMART<\/span><\/h1>\n<\/div>
Learn More<\/span><\/a><\/div>
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<\/div><\/div><\/div><\/div><\/div>\n<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-13729","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/pages\/13729","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/comments?post=13729"}],"version-history":[{"count":28,"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/pages\/13729\/revisions"}],"predecessor-version":[{"id":16509,"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/pages\/13729\/revisions\/16509"}],"wp:attachment":[{"href":"https:\/\/edx.netl.doe.gov\/sites\/smart\/wp-json\/wp\/v2\/media?parent=13729"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}