{"663568":{"#nid":"663568","#data":{"type":"news","title":"2022 ML4Seismic Industry Partners Meeting ","body":[{"value":"\u003Cp\u003EThe 2022 ML4Seismic Industry Partners Meeting was\u0026nbsp;held November 16-18 at the CODA\u0026nbsp;Building in midtown Atlanta.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/ghassanalregib.info\/ml4seismic\u0022\u003EML4Seismic\u003C\/a\u003E\u0026nbsp;is a\u0026nbsp;joint initiative at Georgia Tech between the Omni Lab for Intelligent Visual Engineering and Science (\u003Ca href=\u0022https:\/\/ghassanalregib.info\/\u0022\u003EOLIVES\u003C\/a\u003E)\u0026nbsp;lead by professor\u0026nbsp;\u003Ca href=\u0022https:\/\/ghassanalregib.info\/\u0022 title=\u0022https:\/\/ghassanalregib.info\/\u0022\u003EGhassan\u0026nbsp;AlRegib\u003C\/a\u003E\u0026nbsp;(ECE) and the Seismic Laboratory for Imaging and Modeling (\u003Ca href=\u0022https:\/\/slim.gatech.edu\/\u0022 title=\u0022https:\/\/slim.gatech.edu\/\u0022\u003ESLIM\u003C\/a\u003E) lead by professor\u0026nbsp;\u003Ca href=\u0022https:\/\/slim.gatech.edu\/people\/felix-j-herrmann\u0022 title=\u0022https:\/\/slim.gatech.edu\/people\/felix-j-herrmann\u0022\u003EFelix J. Herrmann\u003C\/a\u003E\u0026nbsp;(EAS, CSE, ECE), innovators in the energy sector, and major cloud providers.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe initiative is designed to foster research partnerships aimed to drive innovations in artificial intelligence assisted seismic imaging, interpretation, analysis, and monitoring in the cloud.\u0026nbsp;A key research theme is developing unsupervised machine learning methods to unburden the seismic interpreter from manually annotated data. The incorporation of uncertainty into network estimations provides more insight to decision makers about the confidence of network predictions. The work has resulted in countless impactful publications already, along with three open-source datasets for benchmarking ML algorithms for accuracy and efficiency.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther areas of interest include, but are not limited to, low-environmental impact time-lapse acquisition, data-constrained image segmentation, classification, physics-constrained machine learning, and uncertainty quantification. These research areas are well aligned with Georgia Tech\u0026rsquo;s strengths in computational\/data sciences and engineering.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThank you to the ML4Seismic Industry Partners!\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EDiamond Sponsors\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.equinor.com\/\u0022 title=\u0022https:\/\/www.equinor.com\/\u0022\u003EEquinor ASA\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.microsoft.com\/en-us\/\u0022 title=\u0022https:\/\/www.microsoft.com\/en-us\/\u0022\u003EMicrosoft Corporation\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.oxy.com\/\u0022 title=\u0022https:\/\/www.oxy.com\/\u0022\u003EOccidental Petroleum\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003EPlatinum Sponsors\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.chevron.com\/\u0022 title=\u0022https:\/\/www.chevron.com\/\u0022\u003EChevron Corporation\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/corporate.exxonmobil.com\/\u0022 title=\u0022https:\/\/corporate.exxonmobil.com\/\u0022\u003EExxonMobil Corporation\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.shell.com\/\u0022 title=\u0022https:\/\/www.shell.com\/\u0022\u003EShell plc\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.spglobal.com\/\u0022 title=\u0022https:\/\/www.spglobal.com\/\u0022\u003ES \u0026amp; P Global Inc\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The meeting was held November 16-18 at the CODA Building in Atlanta."}],"uid":"36172","created_gmt":"2022-12-01 15:11:30","changed_gmt":"2022-12-02 16:48:08","author":"dwatson71","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2022-12-01T00:00:00-05:00","iso_date":"2022-12-01T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"663567":{"id":"663567","type":"image","title":"The 2022 ML4Seismic Industry Partners Meeting at the CODA Building","body":null,"created":"1669907128","gmt_created":"2022-12-01 15:05:28","changed":"1669907128","gmt_changed":"2022-12-01 15:05:28","alt":"The 2022 ML4Seismic Industry Partners Meeting at the CODA Building","file":{"fid":"251176","name":"The 2022 ML4Seismic Industry Partners Meeting at the CODA 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