{"version":"1.0","provider_name":"Microsoft Research","provider_url":"https:\/\/www.microsoft.com\/en-us\/research","author_name":"Philipp Witte","author_url":"https:\/\/www.microsoft.com\/en-us\/research\/people\/pwitte\/","title":"Low-cost time-lapse seismic imaging of CCS with the joint recovery model - Microsoft Research","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"NwzekA6UeZ\"><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/low-cost-time-lapse-seismic-imaging-of-ccs-with-the-joint-recovery-model\/\">Low-cost time-lapse seismic imaging of CCS with the joint recovery model<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/low-cost-time-lapse-seismic-imaging-of-ccs-with-the-joint-recovery-model\/embed\/#?secret=NwzekA6UeZ\" width=\"600\" height=\"338\" title=\"&#8220;Low-cost time-lapse seismic imaging of CCS with the joint recovery model&#8221; &#8212; Microsoft Research\" data-secret=\"NwzekA6UeZ\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"Seismic monitoring of Carbon Capture & Storage (CCS) is often challenging because the time-lapse signal of the growth of CO2 plume is weak. This situation is compounded by the fact that surveys are often coarsely sampled and not replicated. Despite these challenges, we demonstrate, by means of a realistic synthetic experiment on the Compass model, [&hellip;]"}