{"version":"1.0","provider_name":"Upstream Petroleum Engineering Data Analysis","provider_url":"https:\/\/petroleumdata.energy\/blog","author_name":"admin","author_url":"https:\/\/petroleumdata.energy\/blog\/index.php\/author\/admin_j099204\/","title":"The Value of Data in Engineering - Upstream Petroleum Engineering Data Analysis","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"kBOl8OZJUx\"><a href=\"https:\/\/petroleumdata.energy\/blog\/index.php\/2025\/08\/22\/the-value-of-data-in-engineering\/\">The Value of Data in Engineering<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/petroleumdata.energy\/blog\/index.php\/2025\/08\/22\/the-value-of-data-in-engineering\/embed\/#?secret=kBOl8OZJUx\" width=\"600\" height=\"338\" title=\"&#8220;The Value of Data in Engineering&#8221; &#8212; Upstream Petroleum Engineering Data Analysis\" data-secret=\"kBOl8OZJUx\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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\/\/# sourceURL=https:\/\/petroleumdata.energy\/blog\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"The petroleum industry has always been data-intensive. From seismic surveys to well logs, drilling parameters, production data, and reservoir simulations, every stage of the well lifecycle generates massive amounts of information. Traditionally, engineers have relied on deterministic models and domain expertise to interpret these datasets. But as operations grow more complex, conventional methods can no [&hellip;]","thumbnail_url":"https:\/\/petroleumdata.energy\/blog\/wp-content\/uploads\/2025\/08\/BlogPost1Image.png","thumbnail_width":1024,"thumbnail_height":1536}